how to make an experimental research title

• Affiliate Program

• UNITED STATES
• 台灣 (TAIWAN)
• TÜRKIYE (TURKEY)
• Academic Editing Services
• - Research Paper
• - Journal Manuscript
• - Dissertation
• - College & University Assignments
• Admissions Editing Services
• - Application Essay
• - Personal Statement
• - Recommendation Letter
• - Cover Letter
• - CV/Resume
• Business Editing Services
• - Business Documents
• - Report & Brochure
• - Website & Blog
• Writer Editing Services
• - Script & Screenplay
• Our Editors
• Client Reviews
• Editing & Proofreading Prices
• Wordvice Points
• Partner Discount
• Plagiarism Checker
• APA Citation Generator
• MLA Citation Generator
• Chicago Citation Generator
• Vancouver Citation Generator
• - APA Style
• - MLA Style
• - Chicago Style
• - Vancouver Style
• Writing & Editing Guide
• Academic Resources
• Admissions Resources

How to Make a Research Paper Title with Examples

What is a research paper title and why does it matter?

A research paper title summarizes the aim and purpose of your research study. Making a title for your research is one of the most important decisions when writing an article to publish in journals. The research title is the first thing that journal editors and reviewers see when they look at your paper and the only piece of information that fellow researchers will see in a database or search engine query. Good titles that are concise and contain all the relevant terms have been shown to increase citation counts and Altmetric scores .

Therefore, when you title research work, make sure it captures all of the relevant aspects of your study, including the specific topic and problem being investigated. It also should present these elements in a way that is accessible and will captivate readers. Follow these steps to learn how to make a good research title for your work.

How to Make a Research Paper Title in 5 Steps

You might wonder how you are supposed to pick a title from all the content that your manuscript contains—how are you supposed to choose? What will make your research paper title come up in search engines and what will make the people in your field read it? 

In a nutshell, your research title should accurately capture what you have done, it should sound interesting to the people who work on the same or a similar topic, and it should contain the important title keywords that other researchers use when looking for literature in databases. To make the title writing process as simple as possible, we have broken it down into 5 simple steps.

Step 1: Answer some key questions about your research paper

What does your paper seek to answer and what does it accomplish? Try to answer these questions as briefly as possible. You can create these questions by going through each section of your paper and finding the MOST relevant information to make a research title.

Step 2: Identify research study keywords

Now that you have answers to your research questions, find the most important parts of these responses and make these your study keywords. Note that you should only choose the most important terms for your keywords–journals usually request anywhere from 3 to 8 keywords maximum.

Step 3: Research title writing: use these keywords

“We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how waiting list volume affects the outcomes of liver transplantation in patients; results indicate a positive correlation between increased waiting list volume and negative prognosis after the transplant procedure.”

The sentence above is clearly much too long for a research paper title. This is why you will trim and polish your title in the next two steps.

Step 4: Create a working research paper title

To create a working title, remove elements that make it a complete “sentence” but keep everything that is important to what the study is about. Delete all unnecessary and redundant words that are not central to the study or that researchers would most likely not use in a database search.

“ We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients ; results indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure ”

Now shift some words around for proper syntax and rephrase it a bit to shorten the length and make it leaner and more natural. What you are left with is:

“A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcome of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 38)

This text is getting closer to what we want in a research title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average length of published journal article titles is 16 words or fewer. Therefore, we should eliminate some words and phrases that are not essential to this title.

Step 5: Remove any nonessential words and phrases from your title

Because the number of patients studied and the exact outcome are not the most essential parts of this paper, remove these elements first:

 “A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcomes of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 19)

In addition, the methods used in a study are not usually the most searched-for keywords in databases and represent additional details that you may want to remove to make your title leaner. So what is left is:

“Assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients” (Word Count: 15)

In this final version of the title, one can immediately recognize the subject and what objectives the study aims to achieve. Note that the most important terms appear at the beginning and end of the title: “Assessing,” which is the main action of the study, is placed at the beginning; and “liver transplantation patients,” the specific subject of the study, is placed at the end.

This will aid significantly in your research paper title being found in search engines and database queries, which means that a lot more researchers will be able to locate your article once it is published. In fact, a 2014 review of more than 150,000 papers submitted to the UK’s Research Excellence Framework (REF) database found the style of a paper’s title impacted the number of citations it would typically receive. In most disciplines, articles with shorter, more concise titles yielded more citations.

Adding a Research Paper Subtitle

If your title might require a subtitle to provide more immediate details about your methodology or sample, you can do this by adding this information after a colon:

“ : a case study of US adult patients ages 20-25”

If we abide strictly by our word count rule this may not be necessary or recommended. But every journal has its own standard formatting and style guidelines for research paper titles, so it is a good idea to be aware of the specific journal author instructions , not just when you write the manuscript but also to decide how to create a good title for it.

Research Paper Title Examples

The title examples in the following table illustrate how a title can be interesting but incomplete, complete by uninteresting, complete and interesting but too informal in tone, or some other combination of these. A good research paper title should meet all the requirements in the four columns below.

Tips on Formulating a Good Research Paper Title

In addition to the steps given above, there are a few other important things you want to keep in mind when it comes to how to write a research paper title, regarding formatting, word count, and content:

• Write the title after you’ve written your paper and abstract
• Include all of the essential terms in your paper
• Keep it short and to the point (~16 words or fewer)
• Avoid unnecessary jargon and abbreviations
• Use keywords that capture the content of your paper
• Never include a period at the end—your title is NOT a sentence

Research Paper Writing Resources

We hope this article has been helpful in teaching you how to craft your research paper title. But you might still want to dig deeper into different journal title formats and categories that might be more suitable for specific article types or need help with writing a cover letter for your manuscript submission.

In addition to getting English proofreading services , including paper editing services , before submission to journals, be sure to visit our academic resources papers. Here you can find dozens of articles on manuscript writing, from drafting an outline to finding a target journal to submit to.

• Essay Topic Generator
• Summary Generator
• Thesis Maker Academic
• Sentence Rephraser
• Read My Paper
• Hypothesis Generator
• Cover Page Generator
• Text Compactor
• Essay Scrambler
• Essay Plagiarism Checker
• Hook Generator
• AI Writing Checker
• Notes Maker
• Overnight Essay Writing
• Topic Ideas
• Writing Tips
• Essay Writing (by Genre)
• Essay Writing (by Topic)

323 Experimental Research Titles

Experimental research is a study that follows a specific research design. Its main components are dependent and independent variables, hypotheses, research questions , and objectives. The examination can be qualitative or quantitative.

One of the critical aspects of experimental research is that it should be completed in a controlled scientific environment. For that, the researcher follows these steps:

• creating a plan;
• collecting the required data;
• applying statistical methods to analyze it;
• deciding whether to accept or reject hypotheses.

The purpose of experimental research is to determine the dependency between variables and estimate how they correlate.

Our team has collected experimental research titles to help you start this task. Besides, the article contains essential writing tips. With them, you will overcome all the challenges you may face while working on a scientific paper.

🔝 Top 18 Experimental Research Ideas

• 🚌 Titles for High School Students
• 🎓 Topics for College Students
• 🔬 Topics for STEM Students

🧫 Simple Experimental Research Topics

🧬 more experimental research titles, 🥼 how to conduct experimental research, 🔗 references.

• How effectively does AI fall technology decrease patient falls in hospitals?
• How does peer observation affect adolescents’ decision-making?
• Does nutrition affect students’ academic performance?
• Nano-Optics and Benefits: Possible Experiments.
• Comparing two machine learning models for detecting fake news.
• The effect of postabortion psychological intervention on women’s mental well-being.
• Quality Management Effects on Organizations’ Performance.
• How do genes affect wound healing?
• The investigation of photosynthesis by experimenting on spinach leaves.
• Impact of Culture on International Business.
• Studying the framing effect in cognitive psychology using experimental design.
• The impact of ads on American consumers’ attitudes towards eco-friendly beauty products.
• Long-Term Trends in Business and Their Impact.
• Nitrogen or potash: Which fertilizer is more effective for plant growth?
• Divorce and Its Impact on Children.
• Effects of a project-based learning program on low-income students’ performance.
• How do team-building activities affect a company’s general performance?
• How Fast Are We According to the Age? The Experiment.

🚌 Experimental Research Titles for High School Students

• An experiment proving the need for carbon dioxide for photosynthesis.
• Combustion of phosphorus in the air and oxygen.
• Autoignition of white phosphorus in the air.
• The pH change during water electrolysis.
• Reactions of protozoa to the action of various stimuli.
• The absorption of substances and the formation of digestive vacuoles in protozoa.
• The effect of water temperature on the rate of reproduction of protozoa.
• Technology and Nursing: The Impact of Technology .
• The impact of daphnia on water filtration.
• Finding out the importance of fins in the movement of fish.
• Protein denaturation using different temperatures.
• Plasmolysis and deplasmolysis in onion skin cells.
• The catalytic activity of enzymes in living tissues.
• An experiment on the distribution of temperature thresholds for wool pigment formation in ermine rabbits.
• An experiment with acetabularia demonstrating the leading role of the cell nucleus in heredity.
• Obtaining CO2 from copper hydroxide carbonate.
• Getting carbon dioxide from vitamin pills.
• Production of CO2 from limescale and acetic acid.
• Getting carbon dioxide from the sparkling water.
• Organizational Effectiveness Impact on Individual Performance.
• The reaction of carbon dioxide with alkali.
• Change in pH when carbon dioxide is dissolved.
• Combustion of magnesium in carbon dioxide.
• Dissolving ammonia in water.
• Changes in pH when ammonia is dissolved.
• The reaction of ammonia and hydrogen chloride.
• Preparation and analysis of chlorine.
• The mixture of chlorine and iodine.
• Photochemical reaction: Chlorine + hydrogen.
• Impact of Divorce on the Emotional Well-being of Children.
• The process of burning sodium in chlorine.
• Combustion of antimony in chlorine.
• The combination of sodium and water.
• The experiment of mixing lithium and water.
• The reaction of copper and nitric acid.
• The deposition of copper on iron.
• The peculiarities of mercury deposition on copper.
• Flame staining with sodium salt.
• Coloring flames with potassium salt.
• Approaches to Media: Audiences and Effects.
• Staining the flame with a lithium salt.
• How to color the flame with strontium salt?
• The effect of concentration on the reaction rate.
• Dependence of the reaction rate on the initial substance.
• Effects of temperature on chemical equilibrium.
• Chromium (III) oxide as a catalyst.
• Impact of agitation on dissolution rate.
• Temperature dependence of salt solubility.
• A universal indicator color scale.
• Determination of the pH of consumer products.
• The pH of salt solutions in hydrolysis.
• The reaction of base oxide with water.
• Employee Loyalty and Career Development Effects.
• The reaction of sodium and ethanol.
• Sulfuric acid reaction and carbohydrates.
• Combustion of boric acid ethyl ester.
• How Social Class Impacts Health Disparities.
• Accumulation of wind energy in the form of hydrogen.
• Storage of solar energy in the form of hydrogen.
• The reaction of rubidium and water.
• An experiment on creating a volcano.
• Oxidizing properties of manganese (VII) oxide.
• Production and combustion of silane.
• Combustion in potassium chlorate.
• Lack Sleep Effects on Teenagers.
• An experiment proving the need for light for photosynthesis.
• Study of the properties of normal, burnt, and decalcified bones.
• Determination of breath holding time before and after exercise.
• Conducting a family therapy roleplay.
• Roleplay: A therapist and a client.
• Developing a program for family health awareness.
• Seminar on improving mental health.
• Creating a schedule for daily exercising.
• Negative Impact of Technology on Children’s Growth .
• The effect of color on the heat caused by light absorption.
• Experiment with constructing an X-Ray device. 
• The conversion of potential energy into kinetic one.
• The measurement of water surface tension. 
• The construction of a gravity model.
• Relationship Between Health and Wealth .

🎓 Experimental Research Topics for College Students

• The effects of different sleeping patterns on cognitive function.
• What impact does technology have on students’ social interactions?
• Various diet plans: Effects on physical health.
• How does media consumption affect mental health?
• Psychology. Stanford Prison Experiment.
• The impact of online learning platforms on educational outcomes.
• Are exercise and stress levels in students related?
• Social media use and academic performance.
• Differentiation of study techniques: Exam performance comparison.
• The impact of different teaching styles on learning outcomes.
• Do in-person and online student support services foster student retention?
• The Influence of Non-Work-Related Factors on the Work Commitment.
• Comparing academic performance in online learning and traditional classroom.
• Social media and its impact on student engagement.
• Student mental health impact on academic performance.
• Work Environment Impact on Employee Performance.
• How do extracurricular student activities affect personal and social development?
• How is student debt related to decision-making?
• The relationship between college student sleep deprivation and academic performance.
• What types of financial aid can influence college student retention?
• Do college student internships affect employment opportunities?
• Organizational Culture and Performance Relationship.
• Comparing the impact of traditional vs. experiential learning.
• The cognitive load and academic performance: What is the relation?
• Time management strategies and college student success.
• Cyber-Bullying Versus Traditional Bullying and Its Psychological Effects.
• Can a new learning environment engage students?
• How can mindfulness affect academic performance?
• The impact of a teacher’s racial bias on cultural prejudice levels in the classroom.
• Effects of student-led group activities on learning outcomes.
• What types of testing have the most impact on student learning?
• Student motivation: The main types and their specifics.
• Does class size impact student academic performance?
• Voter behavior in the EU: A case study of political ads.
• The role of social media in political discourse in the US.
• The Effects of Physical Attractiveness on Persuasion .
• The effects of different political parties on voter attitudes.
• How can survey experiments be used to manipulate public opinion?
• Political debates and voter engagement: Are there any connections?
• Does encouraging voters by mail decrease voter turnout?
• How do social media messages affect citizens’ political mobilization?
• How do political ads affect voters’ attitudes?
• The Effects of School Feeding Program on Preschool Children.
• Does the provision of financial incentives increase full-time employment rates in welfare recipients?
• Does giving vouchers to low-income families increase their economic mobility?
• Why people don’t migrate to higher-developed countries: A lab experiment.
• Innovation Influences on Business Environment.
• Does better customer service at the Department of Revenue increase citizens’ income tax compliance?
• Covid-19 as a natural experiment on the effects of remote learning.
• Does providing customers with information on food’s health benefits affect their buying decisions?
• Gender discrimination in hiring: An experiment.
• Schizophrenia: Mental Status Evaluation and Experiment.
• Using experimental methods to study preschoolers’ language acquisition.
• Do multilingual people have better working memory than monolingual ones?
• Language immersion programs and their effects on student learning.
• The study of the effects of age on language acquisition.
• Organizational Behaviour Influence on Innovation Processes.
• The influence of language immersion programs on student motivation.
• The investigation of language learning software effects on academic performance.
• The study of the effectiveness of bilingual education programs in schools.
• Impact of Workplace Factors on Nurses Job Satisfaction and Retention.

🔬 Experimental Research Topics for STEM Students

• Estimation of ionizing radiation influence on the organism.
• Evaluation of the thalamus contribution to the generation of pain sensations.
• The impact of neurotransmitters in the formation of tactile sensitivity.
• Research of the integrative function of the brain.
• An analysis of current resources for bioinformatics research.
• An assessment of hemodynamic state in hypertension.
• How Parental Styles Influence Children With ADHD?
• Approbation of biological systems in technology.
• Contribution of biophysics to brain concepts.
• Music Therapy and Its Effects on Elderly People .
• Current approaches to robotics and mechanical engineering.
• Dependence of neuronal development rate on nutrient conditions.
• Determination of the role of neural circuits in multisensory integration.
• High Blood Pressure and Heart Attack Relationship.
• Impact of the factors on the biochemical processes in the organism.
• Investigating predictors of cellular apoptosis.
• Investigation of the antibiotic susceptibility trends.
• Nursing Leadership Styles Influence on Performance and Work .
• Lipid metabolism disorders as predictors of atherosclerosis.
• Modern methods for assessing the functional state of blood vessels.
• Current methods of blood plasma proteins research.
• Nanotechnology opportunities in heart surgeries.
• New understanding of neurogenesis.
• Optimization methods in systemic evolutionary doctrine.
• Steroid Effects on the Body.
• Robotic systems performance in large industries.
• Structural bases of organization of biopolymers in medicine.
• Studying the potential of discrete mathematics in nanotechnology.
• The effects of the structure of biological membranes in DNA replication disorders.
• The outcomes of neurodegenerative diseases.
• Comparison of Vitamin C Levels in Different Vegetables and the Effects of Processing (Fresh, Frozen and Canned) .
• The potential consequences of anticoagulant use at inappropriate dosages.
• The power of mathematical calculation to assess health prognoses.
• The rationality of nuclear fusion in modern conditions.
• Pregnancy and Ultrasound Effects on Fetus.
• The role of applied mathematics in space research.
• The study of membrane polarization levels in cardiac disorders.
• The significance of the applicability of number theory in cosmology.
• The use of abstract relational biology in science.
• Nurse-Client Relationship and Mental Health Knowledge.
• The effects of social media on self-esteem and mental health.
• The impact of stress on memory and concentration.
• Behavioural Reaction to Organizational Change.
• Gender differences in emotional intelligence and expression.
• The influence of music on mood and behavior.
• The impact of sleep deprivation on attention and cognitive functioning.
• The effect of parental attachment on child development and self-esteem.
• The role of technology use in adolescent socialization and identity formation.
• The effects of mindfulness training on anxiety and stress management.
• How Video Games Influence Aggressiveness?
• The impact of workplace stress on job performance and productivity.
• The effect of nutrition on cognitive functioning and brain health.
• The influence of exercise on mental health and well-being.
• The impact of color on memory and learning.
• Smoking: Its Cause and Effects.
• The role of social support in psychological well-being and coping strategies.
• The influence of culture on attitudes toward mental illness and stigma.
• The relationship between self-regulation and academic achievement and success.
• The impact of depression on intimate relationships and communication.
• Work Environment, Absenteeism, Performance and Productivity: Relationship.
• The effects of test anxiety on student performance and confidence.
• The association of social media uses with self-esteem and self-image.
• The role of social comparison in self-concept formation and self-evaluation.
• Impact of Technological Innovations on the Organization Performance.
• The impact of forgiveness on psychological well-being and stress management.
• The influence of social media on body image and eating habits.
• The effect of exercise on cognitive performance and brain health.
• The role of attachment style in romantic relationships and intimacy.
• The influence of parenting style on adolescent outcomes and self-esteem.
• The effect of music on stress management and relaxation.
• Motivation and Its Effects on the Workplace.
• The impact of gender roles on mental health and self-esteem.
• The effects of sleep deprivation on emotional regulation and mental health
• The relationship between sleep quality and stress levels and mood.
• The effect of family dynamics on mental health and coping strategies.
• The Impact of Human Resource Management Strategies.
• The influence of religion on coping strategies and resilience.
• The impact of social support on depression and stress.
• The role of nature exposure on psychological well-being and relaxation.
• The influence of social media on self-esteem and self-image.
• Paramedics and Effects of Shift Work .
• The effects of technology use on attention span and concentration.
• The impact of self-esteem on academic performance and motivation.
• The association of childhood trauma with mental health and resilience.
• The role of emotional intelligence in interpersonal relationships and communication.
• Abusive Supervision and Its Effects on Employees.
• The influence of music on achievement motivation and concentration.
• The impact of social media on interpersonal communication and self-expression.
• The effect of media use on body image and self-esteem.
• Behavioral Effects Associated With Marijuana.
• The relationship between self-efficacy and academic performance outcomes.
• The influence of social comparison on self-concept formation.
• The impact of loneliness on mental health and well-being.
• The effects of humor on stress reduction and management.
• The Impact of Organizational Change on Business.
• The role of mindfulness in coping with anxiety and stress.
• The influence of technology use on social interactions and relationships.
• The effect of goal-setting on achievement and motivation.
• Successful Leadership’s Influences on Productivity.
• The impact of self-acceptance on psychological well-being and resilience.
• The relationship between attachment style and mental health outcomes.
• The effects of stress on cognitive performance and attention.
• The impact of social media on decision-making processes.
• Jazz Music and Race Relationship.
• The role of parental support on academic performance and engagement.
• The influence of sleep quality on emotional regulation and self-control.
• The effect of exercise on memory retention and learning.
• Diversity Effects on the Workplace.
• The impact of media uses on self-esteem and body image.
• The association of bullying with mental health symptoms.
• The role of nature in stress reduction and management.
• Fast Food Restaurants’ Impact on People’s Health.
• The influence of gratitude on psychological well-being and life satisfaction.
• The effect of humor on interpersonal communication and relationships.
• The impact of self-regulation on achievement and success.
• The relationship between sleep deprivation and cognitive functioning impairment.
• Impact of Branding on Consumer Purchasing Behaviour.
• How do oral contraceptives affect the nervous system?
• How does yoga affect muscle relaxation that leads to sleep?
• How Does Packaging Influence Buyer Decision Making.
• Does parent-child interaction influence the development of white matter?
• How do stress and anxiety affect the capacity for creativity?
• Health Effects of Steroid Use Among Athletes.
• How does bilingualism influence academic achievement and performance?
• How does bilingualism prevent cognitive deterioration?
• How Does Child Neglect Might Affect a Child’s Self-Esteem in Adulthood?
• How does parent-child interaction influence a child’s understanding of COVID-19?
• How does sex education help to curb teenage pregnancy?
• Facebook Inc.’s Unethical Experiment with Users.
• How does the availability of contraception influence teenage pregnancy levels?
• What will happen if the Great Depression happened today?
• How does the Christmas marketing affect its traditions?
• What is the role of Black culture in music?
• Possible Side Effects of Morphine Use.
• How can the US government structure be changed?
• How is the US Constitution adapted to modern times?
• The Tuskegee Syphilis Experiment.
• How can elections be changed for better representation?
• What are the factors that predict levels of stress in children?
• Why do American and international students adapt differently to college?
• How does racial identity influence psychological well-being?
• Reasoning on the Topic of Crime – Ofshe’s Experiment.
• How does racial identity influence cognitive processes?
• How does racial discrimination affect the brain?
• How does racial discrimination cause mental distress?
• Cultural Influences on Business Ethics.
• What factors influence physical health in school children?
• How do race and ethnicity affect psychosocial adaptation?
• How does gender influence levels of impulsivity in alcohol addicts?
• How does sexual conservatism relate to emotional guilt?
• Impacts of Information Systems on Policies and Student Learning.
• How do social norms induce the brain’s guilt response?
• Which societal factors lead to increased levels of teenage pregnancy?
• What are the impacts of teenage pregnancy on society?
• How does teenage pregnancy affect social mobility?
• “Fat Talk” by Ambwani: Experimental Study .
• How are teenage pregnancy and birth mortality rates connected?
• What is the gender difference in teenage pregnancy consequences?
• Impact of Core Competence and Sustainability of Business.
• What is the correlation between teenage pregnancy and child development?
• What is the correlation between teenage pregnancy and miscarriage?
• The Impact of Culture on Dementia Healthcare .
• How can teenage pregnancy levels be reduced?
• Human Resource Impacts on Organizational Performance.

If you plan to conduct experimental research, you should know a particular set of rules. By following them, you will ensure that your findings are accurate and that the paper structure is appropriate. See the essential steps of experimental research below:

• Come up with a hypothesis. Decide what assumptions you will test in your study. Keep in mind that they should be applying scientific methods. So, make sure you will be able to perform proper analysis to test your ideas.
• Think of the context & theory. Gather the information that is already available on your topic and examine it. You should have solid theoretical ground before performing an actual experiment. Besides, consider what space in existing research your study can fill. Examine everything done in the field – you can do it quicker with our summarizer .
• Plan your study. Create a detailed plan for your research and follow it. It will help you structure your experiment, keep track of the progress, and keep up with the deadlines. Don’t forget to decide on the possible ways of data collection.
• Conduct an experiment. Once you’ve set up everything, start the actual investigation. Collect the required data and organize it logically. Finally, perform the chosen scientific manipulation to test your hypotheses. Remember to clearly understand your objectives and distinguish your dependent and independent variables to conduct the study.
• Examine your finding. This step involves the in-depth analysis of your data. Investigate your results and decide whether you accept or reject your hypotheses. Be attentive in this part: you will deal with numbers and figures here.
• Write about what you’ve found. Wrap up your experiential research by explaining your results. Consider the practical implication of your study. Did you contribute anything of value to the field? Will your study be helpful for future research? Make sure that you not only present pure findings but also explain them.

Thank you for reading our article. We hope our experimental research topics for college students were helpful. Plus, we have a handy tool for you. Our online sentence rephraser will help you make your writing sophisticated.

• Guide Designing and Conducting Experimental and Quasi-Experimental Research – Writing@CSU, Colorado State University
• Experimental Research Educational Research Basics – Del Siegle, the University of Connecticut
• Experimental and Quasi-Experimental Research — WAC Clearinghouse
• Understanding Nursing Research: Experimental Design — Mary and Jeff Bell Library
• Experimentation — Yale University
• Experiment Basics — Research Methods in Psychology
• Causal or Experimental Research Designs — Queensborough Community College
• Fundamental Experimental Research in Machine Learning — Oregon State University

View the latest institution tables

View the latest country/territory tables

How to write a good research paper title

“Unread science is lost science .”

Credit: Mykyta Dolmatov/Getty

“Unread science is lost science.”

28 July 2020

Mykyta Dolmatov/Getty

With the influx of publications brought on by the pandemic, it’s become more challenging than ever for researchers to attract attention to their work.

Understanding which elements of a title will attract readers – or turn them away – has been proven to increase a paper’s citations and Altmetric score .

“In the era of information overload, most students and researchers do not have time to browse the entire text of a paper,” says Patrick Pu , a librarian at the National University of Singapore.

“The title of a paper, together with its abstract, become very important to capture and sustain the attention of readers.”

1. A good title avoids technical language

Since the primary audience of a paper is likely to be researchers working in the same field, using technical language in the title seems to make sense.

But this alienates the wider lay audience, which can bring valuable attention to your work . It can also alienate inexperienced researchers, or those who have recently entered the field.

“A good title does not use unnecessary jargon,” says Elisa De Ranieri , editor-in-chief at the Nature Communications journal (published by Springer Nature, which also publishes Nature Index.) “It communicates the main results in the study in a way that is clear and accessible, ideally to non-specialists or researchers new to the field.”

How-to: When crafting a title, says De Ranieri, write down the main result of the manuscript in a short paragraph. Shorten the text to make it more concise, while still remaining descriptive. Repeat this process until you have a title of fewer than 15 words.

2. A good title is easily searchable

Most readers today are accessing e-journals, which are indexed in scholarly databases such as Scopus and Google Scholar.

“Although these databases usually index the full text of papers, retrieval weightage for ‘Title’ is usually higher than other fields, such as ‘Results’,” Pu explains.

At the National University of Singapore, Pu and his colleagues run information literacy programmes for editors and authors. They give advice for publishing best practice, such as how to identify the most commonly used keywords in literature searches in a given field.

“A professor once told us how he discovered that industry experts were using a different term or keyword to describe his research area,” says Pu.

“He had written a seminal paper that did not include this ‘industry keyword’. He believes his paper, which was highly cited by academics, would have a higher citation count if he had included this keyword in the title. As librarians, we try to highlight this example to our students so that they will consider all possible keywords to use in their searches and paper titles.”

How-to: Authors should speak to an academic librarian at their institution to gain an understanding of keyword and search trends in their field of research. This should inform how the paper title is written.

3. A good title is substantiated by data

Authors should be cautious to not make any claims in the title that can’t be backed up by evidence.

“For instance, if you make a discovery with potential therapeutic relevance, the title should specify whether it was tested or studied in animals or humans/human samples,” says Irene Jarchum , senior editor at the journal Nature Biotechnology (also published by Springer Nature, which publishes the Nature Index.)

Jarchum adds that titles can be contentious because different authors have different views on the use of specific words, such as acronyms, or more fundamentally, what the main message of the title should be.

Some authors may over-interpret the significance of their preliminary findings, and want to reflect this in the title.

How-to: If you know your paper will be contentious within the scientific community, have the data ready to defend your decisions .

4. A good title sparks curiosity

A one-liner that sparks a reader’s interest can be very effective.

“A title has to pique the interest of the person searching for literature in a split-second – enough that they click on the title to read the abstract. Unread science is lost science,” says Christine Mayer , editor-in-chief of the journal Advanced Therapeutics .

Paper titles such as, "White and wonderful? Microplastics prevail in snow from the Alps to the Arctic" ( 2019 Science ), and “Kids these days: Why the youth of today seem lacking” ( 2019 Science Advances ) are good examples of this principle. Both papers have high Altmetric Attention scores, indicating that they have been widely read and discussed online.

How-to: Take note of the characteristics of paper titles that spark your own interest. Keep a record of these and apply the same principles to your own paper titles.

When you choose to publish with PLOS, your research makes an impact. Make your work accessible to all, without restrictions, and accelerate scientific discovery with options like preprints and published peer review that make your work more Open.

• PLOS Biology
• PLOS Climate
• PLOS Complex Systems
• PLOS Computational Biology
• PLOS Digital Health
• PLOS Genetics
• PLOS Global Public Health
• PLOS Medicine
• PLOS Mental Health
• PLOS Neglected Tropical Diseases
• PLOS Pathogens
• PLOS Sustainability and Transformation
• PLOS Collections
• How to Write a Great Title

Maximize search-ability and engage your readers from the very beginning

Your title is the first thing anyone who reads your article is going to see, and for many it will be where they stop reading. Learn how to write a title that helps readers find your article, draws your audience in and sets the stage for your research!

How your title impacts the success of your article

Researchers are busy and there will always be more articles to read than time to read them.  Good titles help readers find your research, and decide whether to keep reading. Search engines use titles to retrieve relevant articles based on users’ keyword searches. Once readers find your article, they’ll use the title as the first filter to decide whether your research is what they’re looking for. A strong and specific title is the first step toward citations, inclusion in meta-analyses, and influencing your field. 

What to include in a title

Include the most important information that will signal to your target audience that they should keep reading.

Key information about the study design

Important keywords

What you discovered

Writing tips

Getting the title right can be more difficult than it seems, and researchers refine their writing skills throughout their career. Some journals even help editors to re-write their titles during the publication process! 

• Keep it concise and informative What’s appropriate for titles varies greatly across disciplines. Take a look at some articles published in your field, and check the journal guidelines for character limits. Aim for fewer than 12 words, and check for journal specific word limits.
• Write for your audience Consider who your primary audience is: are they specialists in your specific field, are they cross-disciplinary, are they non-specialists?
• Entice the reader Find a way to pique your readers’ interest, give them enough information to keep them reading.
• Incorporate important keywords Consider what about your article will be most interesting to your audience: Most readers come to an article from a search engine, so take some time and include the important ones in your title!
• Write in sentence case In scientific writing, titles are given in sentence case. Capitalize only the first word of the text, proper nouns, and genus names. See our examples below.

Don’t

• Write your title as a question In most cases, you shouldn’t need to frame your title as a question. You have the answers, you know what you found. Writing your title as a question might draw your readers in, but it’s more likely to put them off.
• Sensationalize your research Be honest with yourself about what you truly discovered. A sensationalized or dramatic title might make a few extra people read a bit further into your article, but you don’t want them disappointed when they get to the results.

Examples…

Format: Prevalence of [disease] in [population] in [location]

Example: Prevalence of tuberculosis in homeless women in San Francisco

Format: Risk factors for [condition] among [population] in [location]

Example: Risk factors for preterm births among low-income women in Mexico City

Format (systematic review/meta-analysis): Effectiveness of [treatment] for [disease] in [population] for [outcome] : A systematic review and meta-analysis

Example: Effectiveness of Hepatitis B treatment in HIV-infected adolescents in the prevention of liver disease: A systematic review and meta-analysis

Format (clinical trial): [Intervention] improved [symptoms] of [disease] in [population] : A randomized controlled clinical trial

Example: Using a sleep app lessened insomnia in post-menopausal women in southwest United States: A randomized controlled clinical trial

Format  (general molecular studies): Characterization/identification/evaluation of [molecule name] in/from [organism/tissue] (b y [specific biological methods] ) 

Example: Identification of putative Type-I sex pheromone biosynthesis-related genes expressed in the female pheromone gland of Streltzoviella insularis

Format  (general molecular studies): [specific methods/analysis] of organism/tissue reveal insights into [function/role] of [molecule name] in [biological process]  

Example: Transcriptome landscape of Rafflesia cantleyi floral buds reveals insights into the roles of transcription factors and phytohormones in flower development

Format  (software/method papers): [tool/method/software] for [what purpose] in [what research area]

Example: CRISPR-based tools for targeted transcriptional and epigenetic regulation in plants

Tip: How to edit your work

Editing is challenging, especially if you are acting as both a writer and an editor. Read our guidelines for advice on how to refine your work, including useful tips for setting your intentions, re-review, and consultation with colleagues.

• How to Write an Abstract
• How to Write Your Methods
• How to Report Statistics
• How to Write Discussions and Conclusions
• How to Edit Your Work

The contents of the Peer Review Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…

121+ Experimental Research Topics Across Different Disciplines

Experimental research is a cornerstone of scientific inquiry, providing a systematic approach to investigating phenomena and testing hypotheses. This method allows researchers to establish cause-and-effect relationships, contributing valuable insights to diverse fields.

In this blog post, we’ll delve into the world of experimental research topics, exploring their significance, ethical considerations, and providing a rich array of ideas spanning psychology, biology, physics, and education.

Definition and Importance of Experimental Research

Table of Contents

At its core, experimental research involves manipulating one or more variables to observe the effects on another variable, while controlling for extraneous influences. This method is crucial in establishing causation, distinguishing it from correlational studies that merely identify relationships between variables.

Experimental research holds immense importance across various disciplines. 

• In psychology, it helps unravel the complexities of human behavior, cognition, and social dynamics. 
• In biology, it uncovers the mysteries of genetics, ecology, and environmental science. 
• Physics relies on experimental research to test and refine theories, while education benefits from insights into effective teaching methods and learning environments.

General Considerations for Experimental Research Topics

Before delving into specific topics, it’s essential to consider general principles when selecting experimental research ideas:

Ethical Considerations

Ethical guidelines are paramount in experimental research. Researchers must ensure the well-being of participants, obtain informed consent, and uphold confidentiality. Ethical considerations extend to the treatment of animals in biological experiments and the responsible use of technology in various fields.

Feasibility and Resources

Selecting research topics should align with available resources, including time, funding, and access to necessary equipment. Researchers must carefully assess the feasibility of their experiments and plan accordingly.

Relevance to Current Issues or Trends

To maximize the impact of experimental research, topics should address current issues or trends within a given field. This ensures that the findings contribute meaningfully to existing knowledge and potentially address real-world challenges.

121+ Experimental Research Topics in Different Categories

• The impact of sleep deprivation on cognitive performance
• Effects of mindfulness meditation on stress reduction
• Relationship between screen time and mental health in adolescents
• Influence of music tempo on productivity and mood
• Investigating the placebo effect in pain management
• The role of nutrition in cognitive function and memory
• Effects of color on consumer perceptions and behavior
• Impact of social support on recovery from traumatic events
• Examining the effectiveness of virtual reality in therapy
• The relationship between exercise and mental well-being
• Exploring the link between creativity and sleep patterns
• Effects of bilingualism on cognitive abilities
• Investigating the impact of social media on body image
• The role of laughter in stress reduction and health
• Effects of environmental factors on workplace productivity
• Examining the impact of video games on attention span
• Influence of weather on mood and emotional well-being
• Investigating the effectiveness of cognitive-behavioral therapy
• The relationship between personality traits and job satisfaction
• Effects of caffeine on cognitive performance and alertness
• Impact of childhood trauma on adult mental health
• The role of scent in influencing consumer behavior
• Investigating the effects of positive affirmations on self-esteem
• Examining the relationship between music and learning
• Effects of social isolation on mental and physical health
• The impact of exercise on the aging process
• Investigating the relationship between diet and depression
• Effects of technology use on interpersonal relationships
• Influence of parental involvement on academic achievement
• Examining the effects of nature exposure on stress reduction
• The relationship between personality and response to stress
• Impact of workplace design on employee satisfaction
• Investigating the effectiveness of art therapy in trauma recovery
• Effects of color in marketing and consumer behavior
• The role of emotional intelligence in leadership
• Examining the impact of gender stereotypes on career choices
• Influence of social support on weight loss and fitness goals
• Investigating the effects of video game violence on behavior
• The relationship between music and exercise performance
• Effects of mindfulness interventions on anxiety levels
• Impact of parental involvement in early childhood education
• Examining the effectiveness of peer mentoring programs
• Effects of environmental noise on cognitive performance
• Influence of social media on political opinions and beliefs
• Investigating the relationship between gratitude and well-being
• The role of humor in coping with stress and adversity
• Effects of aroma therapy on sleep quality and relaxation
• Impact of workplace diversity on team performance
• Examining the relationship between humor and creativity
• Influence of cultural factors on mental health stigma
• Investigating the effects of technology on sleep patterns
• The relationship between personality and response to pain
• Effects of nature exposure on creativity and problem-solving
• Impact of parental involvement on childhood development
• Examining the effectiveness of group therapy for depression
• Influence of social media on political polarization
• Investigating the effects of social exclusion on behavior
• The role of nutrition in athletic performance and recovery
• Effects of positive reinforcement on behavior modification
• Impact of workplace flexibility on employee satisfaction
• Examining the relationship between gratitude and happiness
• Influence of social support on cardiovascular health
• Investigating the effects of aromatherapy on stress levels
• The relationship between personality and response to medication
• Effects of mindfulness interventions on academic performance
• Impact of parental involvement on adolescent mental health
• Examining the effectiveness of peer support programs
• Influence of social media on body image dissatisfaction
• Investigating the effects of laughter therapy on well-being
• The role of scent in enhancing learning and memory
• Effects of positive affirmations on athletic performance
• Impact of workplace culture on employee mental health
• Examining the relationship between humor and resilience
• Influence of social support on weight management
• Investigating the effects of technology on social skills
• The relationship between personality and response to treatment
• Effects of nature exposure on mood and emotional well-being
• Impact of parental involvement on academic motivation
• Examining the effectiveness of art therapy for stress reduction
• Influence of social media on consumer purchasing decisions
• Investigating the effects of mindfulness on sleep quality
• The role of scent in enhancing emotional experiences
• Effects of positive affirmations on academic achievement
• Impact of workplace design on employee well-being
• Examining the relationship between humor and job satisfaction
• Influence of social support on coping with chronic illness
• Investigating the effects of technology on attention span
• The relationship between personality and response to stressors
• Effects of nature exposure on cognitive performance
• Impact of parental involvement on child behavior
• Examining the effectiveness of group therapy for anxiety
• Influence of social media on social connectedness
• Investigating the effects of social isolation on mental health
• The role of scent in enhancing cognitive performance
• Effects of positive affirmations on goal achievement
• Impact of workplace diversity on organizational performance
• Examining the relationship between humor and team dynamics
• Influence of social support on academic success
• Investigating the effects of technology on sleep quality
• The relationship between personality and response to challenges
• Effects of nature exposure on creativity and innovation
• Impact of parental involvement on adolescent behavior
• Examining the effectiveness of art therapy for trauma recovery
• Influence of social media on political engagement
• Investigating the effects of mindfulness on emotional regulation
• Effects of positive affirmations on stress resilience
• Impact of workplace culture on employee satisfaction
• Examining the relationship between humor and job performance
• Influence of social support on coping with grief
• Investigating the effects of technology on social relationships
• The relationship between personality and response to therapy
• Effects of nature exposure on mood and psychological well-being
• Impact of parental involvement on academic achievement motivation
• Influence of social media on body image and self-esteem
• The role of scent in enhancing cognitive performance and memory
• Effects of positive affirmations on athletic performance and motivation
• Impact of workplace design on employee mental and physical well-being
• Examining the relationship between humor and workplace satisfaction

Tips for Selecting Experimental Research Topics

Interest and Passion

• Choose a topic that genuinely interests you. Your enthusiasm for the subject will sustain you through the research process.
• Consider areas of personal or professional passion, as this can drive motivation and dedication.
• Ensure that your chosen topic is relevant to your field of study. Consider current trends, emerging issues, or gaps in existing knowledge that your research could address.

Feasibility

• Assess the feasibility of your research topic in terms of time, resources, and accessibility. Ensure you have the means to conduct the experiments and gather data effectively.
• Look for gaps or areas with limited research in your chosen field. Novelty in your research can contribute significantly to academic discussions and the advancement of knowledge.

Practicality

• Consider the practical implications of your research. Can the findings be applied in real-world situations? Practical relevance adds value to your work.
• Ensure that your research adheres to ethical guidelines. Consider the potential impact on human subjects, animals, or the environment and address these concerns appropriately.

Collaboration Opportunities

• Explore the possibility of collaborating with experts in related fields. Interdisciplinary research can provide a broader perspective and enhance the impact of your work.

Literature Review

• Conduct a thorough literature review to understand existing research on the chosen topic. Identify gaps, controversies, or areas where further exploration is needed.
• Define the scope of your research clearly. Ensure that the topic is neither too broad nor too narrow. A well-defined scope allows for focused and meaningful investigation.

Methodology

• Consider the methodologies you will use in your experiments. Ensure they are appropriate for the research question and feasible given your resources.
• Consider the potential impact of your research. Will it contribute significantly to the field, address practical problems, or open avenues for further exploration?

Consultation

• Discuss your ideas with mentors, colleagues, or experts in the field. Their insights can help refine your topic and provide valuable perspectives.

Accessibility of Data

• Ensure that the data required for your experiments is accessible. If your research involves data collection, make sure you can obtain the necessary information.

Peer Review

• Share your proposed topics with peers or advisors and seek feedback. Constructive criticism can help refine your ideas and identify potential challenges.

Flexibility

• Be open to adjusting your research topic based on evolving circumstances or new insights. Flexibility is crucial in the dynamic landscape of research.

Experimental research topics form the bedrock of scientific advancement, driving our understanding of the world and contributing to innovations across disciplines. As we explore the vast landscape of experimental research, it’s crucial to recognize the ethical considerations, feasibility, and relevance of chosen topics. 

Whether probing the intricacies of the human mind, unraveling the mysteries of the natural world, or enhancing educational practices, experimental research continues to push the boundaries of knowledge and shape the future of scientific inquiry. 

As researchers embark on these explorations, they contribute not only to their respective fields but also to the collective pursuit of understanding and progress.

Related Posts

Step by Step Guide on The Best Way to Finance Car

The Best Way on How to Get Fund For Business to Grow it Efficiently

• Privacy Policy

Home » Research Paper Title – Writing Guide and Example

Research Paper Title – Writing Guide and Example

Table of Contents

Research Paper Title

Research Paper Title is the name or heading that summarizes the main theme or topic of a research paper . It serves as the first point of contact between the reader and the paper, providing an initial impression of the content, purpose, and scope of the research . A well-crafted research paper title should be concise, informative, and engaging, accurately reflecting the key elements of the study while also capturing the reader’s attention and interest. The title should be clear and easy to understand, and it should accurately convey the main focus and scope of the research paper.

Examples of Research Paper Title

Here are some Good Examples of Research Paper Title:

• “Investigating the Relationship Between Sleep Duration and Academic Performance Among College Students”
• “The Impact of Artificial Intelligence on Employment: A Systematic Review”
• “The Effectiveness of Mindfulness-Based Interventions for Anxiety: A Meta-Analysis”
• “Exploring the Effects of Social Support on Mental Health in Patients with Chronic Illness”
• “Assessing the Effectiveness of Cognitive-Behavioral Therapy for Depression: A Randomized Controlled Trial”
• “The Impact of Social Media Influencers on Consumer Behavior: A Systematic Review”
• “Investigating the Link Between Personality Traits and Leadership Effectiveness”
• “The Effect of Parental Incarceration on Child Development: A Longitudinal Study”
• “Exploring the Relationship Between Cultural Intelligence and Cross-Cultural Adaptation: A Meta-Analysis”
• “Assessing the Effectiveness of Mindfulness-Based Stress Reduction for Chronic Pain Management”.
• “The Effects of Social Media on Mental Health: A Meta-Analysis”
• “The Impact of Climate Change on Global Crop Yields: A Longitudinal Study”
• “Exploring the Relationship between Parental Involvement and Academic Achievement in Elementary School Students”
• “The Ethics of Genetic Editing: A Review of Current Research and Implications for Society”
• “Understanding the Role of Gender in Leadership: A Comparative Study of Male and Female CEOs”
• “The Effect of Exercise on Cognitive Function in Older Adults: A Randomized Controlled Trial”
• “The Impacts of COVID-19 on Mental Health: A Cross-Cultural Comparison”
• “Assessing the Effectiveness of Online Learning Platforms: A Case Study of Coursera”
• “Exploring the Link between Employee Engagement and Organizational Performance”
• “The Effects of Income Inequality on Social Mobility: A Comparative Analysis of OECD Countries”
• “Exploring the Relationship Between Social Media Use and Mental Health in Adolescents”
• “The Impact of Climate Change on Crop Yield: A Case Study of Maize Production in Sub-Saharan Africa”
• “Examining the Effectiveness of Cognitive Behavioral Therapy for Anxiety Disorders: A Meta-Analysis”
• “An Analysis of the Relationship Between Employee Job Satisfaction and Organizational Commitment”
• “Assessing the Impacts of Wilderness Areas on Local Economies: A Case Study of Yellowstone National Park”
• “The Role of Parental Involvement in Early Childhood Education: A Review of the Literature”
• “Investigating the Effects of Technology on Learning in Higher Education”
• “The Use of Artificial Intelligence in Healthcare: Opportunities and Challenges”
• “A Study of the Relationship Between Personality Traits and Leadership Styles in Business Organizations”.

How to choose Research Paper Title

Choosing a research paper title is an important step in the research process. A good title can attract readers and convey the essence of your research in a concise and clear manner. Here are some tips on how to choose a research paper title:

• Be clear and concise: A good title should convey the main idea of your research in a clear and concise manner. Avoid using jargon or technical language that may be confusing to readers.
• Use keywords: Including keywords in your title can help readers find your paper when searching for related topics. Use specific, descriptive terms that accurately describe your research.
• Be descriptive: A descriptive title can help readers understand what your research is about. Use adjectives and adverbs to convey the main ideas of your research.
• Consider the audience : Think about the audience for your paper and choose a title that will appeal to them. If your paper is aimed at a specialized audience, you may want to use technical terms or jargon in your title.
• Avoid being too general or too specific : A title that is too general may not convey the specific focus of your research, while a title that is too specific may not be of interest to a broader audience. Strive for a title that accurately reflects the focus of your research without being too narrow or too broad.
• Make it interesting : A title that is interesting or provocative can capture the attention of readers and draw them into your research. Use humor, wordplay, or other creative techniques to make your title stand out.
• Seek feedback: Ask colleagues or advisors for feedback on your title. They may be able to offer suggestions or identify potential problems that you hadn’t considered.

Purpose of Research Paper Title

The research paper title serves several important purposes, including:

• Identifying the subject matter : The title of a research paper should clearly and accurately identify the topic or subject matter that the paper addresses. This helps readers quickly understand what the paper is about.
• Catching the reader’s attention : A well-crafted title can grab the reader’s attention and make them interested in reading the paper. This is particularly important in academic settings where there may be many papers on the same topic.
• Providing context: The title can provide important context for the research paper by indicating the specific area of study, the research methods used, or the key findings.
• Communicating the scope of the paper: A good title can give readers an idea of the scope and depth of the research paper. This can help them decide if the paper is relevant to their interests or research.
• Indicating the research question or hypothesis : The title can often indicate the research question or hypothesis that the paper addresses, which can help readers understand the focus of the research and the main argument or conclusion of the paper.

Advantages of Research Paper Title

The title of a research paper is an important component that can have several advantages, including:

• Capturing the reader’s attention : A well-crafted research paper title can grab the reader’s attention and encourage them to read further. A captivating title can also increase the visibility of the paper and attract more readers.
• Providing a clear indication of the paper’s focus: A well-written research paper title should clearly convey the main focus and purpose of the study. This helps potential readers quickly determine whether the paper is relevant to their interests.
• Improving discoverability: A descriptive title that includes relevant keywords can improve the discoverability of the research paper in search engines and academic databases, making it easier for other researchers to find and cite.
• Enhancing credibility : A clear and concise title can enhance the credibility of the research and the author. A title that accurately reflects the content of the paper can increase the confidence readers have in the research findings.
• Facilitating communication: A well-written research paper title can facilitate communication among researchers, enabling them to quickly and easily identify relevant studies and engage in discussions related to the topic.
• Making the paper easier to remember : An engaging and memorable research paper title can help readers remember the paper and its findings. This can be especially important in fields where researchers are constantly inundated with new information and need to quickly recall important studies.
• Setting expectations: A good research paper title can set expectations for the reader and help them understand what the paper will cover. This can be especially important for readers who are unfamiliar with the topic or the research area.
• Guiding research: A well-crafted research paper title can also guide future research by highlighting gaps in the current literature or suggesting new areas for investigation.
• Demonstrating creativity: A creative research paper title can demonstrate the author’s creativity and originality, which can be appealing to readers and other researchers.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Research Contribution – Thesis Guide

Chapter Summary & Overview – Writing Guide...

APA Research Paper Format – Example, Sample and...

Research Paper Outline – Types, Example, Template

Ethical Considerations – Types, Examples and...

Significance of the Study – Examples and Writing...

Organizing Academic Research Papers: Choosing a Title

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words that adequately describe the contents and/or purpose of your research paper.

The title is without doubt the part of a paper that is read the most, and it is usually read first . If the title is too long it usually contains too many unnecessary words, e.g., "A Study to Investigate the...." On the other hand, a title which is too short often uses words which are too general. For example, "African Politics" could be the title of a book, but it does not provide any information on the focus of a research paper.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used

The initial aim of a title is to capture the reader’s attention and to draw his or her attention to the research problem being investigated.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what was done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you feel yourself drifting off on a tangent while writing. The Final Title Effective titles in academic research papers have several characteristics.

• Indicate accurately the subject and scope of the study.
• Avoid using abbreviations.
• Use words that create a positive impression and stimulate reader interest.
• Use current nomenclature from the field of study.
• Identify key variables, both dependent and independent.
• May reveal how the paper will be organized.
• Suggest a relationship between variables which supports the major hypothesis.
• Is limited to 10 to 15 substantive words.
• Do not include "study of," "analysis of" or similar constructions.
• Titles are usually in the form of a phrase, but can also be in the form of a question.
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns,  pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized.
• In academic papers, rarely is a title followed by an exclamation mark. However, a title or subtitle can be in the form of a question.

The Subtitle Subtitles are quite common in social science research papers. Examples of why you may include a subtitle:

• Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions."
• Adds substance to a literary, provocative, or imaginative title , e.g., "Listen to What I Say, Not How I Vote: Congressional Support for the President in Washington and at Home."
• Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine."
• Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940."
• Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy."

Balch, Tucker. How to Compose a Title for Your Research Paper . Augmented Trader blog. School of Interactive Computing, Georgia Tech University;  Choosing the Proper Research Paper Titles . AplusReports.com, 2007-2012; General Format. The Writing Lab and The OWL. Purdue University.

• << Previous: Academic Writing Style
• Next: Making an Outline >>
• Last Updated: Jul 18, 2023 11:58 AM
• URL: https://library.sacredheart.edu/c.php?g=29803
• QuickSearch
• Library Catalog
• Databases A-Z
• Publication Finder
• Course Reserves
• Citation Linker
• Digital Commons
• Our Website

Research Support

• Ask a Librarian
• Appointments
• Interlibrary Loan (ILL)
• Research Guides
• Databases by Subject
• Citation Help

Using the Library

• Reserve a Group Study Room
• Renew Books
• Honors Study Rooms
• Off-Campus Access
• Library Policies
• Library Technology

User Information

• Grad Students
• Online Students
• COVID-19 Updates
• Staff Directory
• News & Announcements
• Library Newsletter

My Accounts

• Interlibrary Loan
• Staff Site Login

FIND US ON  

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• Choosing a Title
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words needed to adequately describe the content and/or purpose of your research paper.

Importance of Choosing a Good Title

The title is the part of a paper that is read the most, and it is usually read first . It is, therefore, the most important element that defines the research study. With this in mind, avoid the following when creating a title:

• If the title is too long, this usually indicates there are too many unnecessary words. Avoid language, such as, "A Study to Investigate the...," or "An Examination of the...." These phrases are obvious and generally superfluous unless they are necessary to covey the scope, intent, or type of a study.
• On the other hand, a title which is too short often uses words which are too broad and, thus, does not tell the reader what is being studied. For example, a paper with the title, "African Politics" is so non-specific the title could be the title of a book and so ambiguous that it could refer to anything associated with politics in Africa. A good title should provide information about the focus and/or scope of your research study.
• In academic writing, catchy phrases or non-specific language may be used, but only if it's within the context of the study [e.g., "Fair and Impartial Jury--Catch as Catch Can"]. However, in most cases, you should avoid including words or phrases that do not help the reader understand the purpose of your paper.
• Academic writing is a serious and deliberate endeavor. Avoid using humorous or clever journalistic styles of phrasing when creating the title to your paper. Journalistic headlines often use emotional adjectives [e.g., incredible, amazing, effortless] to highlight a problem experienced by the reader or use "trigger words" or interrogative words like how, what, when, or why to persuade people to read the article or click on a link. These approaches are viewed as counter-productive in academic writing. A reader does not need clever or humorous titles to catch their attention because the act of reading research is assumed to be deliberate based on a desire to learn and improve understanding of the problem. In addition, a humorous title can merely detract from the seriousness and authority of your research. 
• Unlike everywhere else in a college-level social sciences research paper [except when using direct quotes in the text], titles do not have to adhere to rigid grammatical or stylistic standards. For example, it could be appropriate to begin a title with a coordinating conjunction [i.e., and, but, or, nor, for, so, yet] if it makes sense to do so and does not detract from the purpose of the study [e.g., "Yet Another Look at Mutual Fund Tournaments"] or beginning the title with an inflected form of a verb such as those ending in -ing [e.g., "Assessing the Political Landscape: Structure, Cognition, and Power in Organizations"].

Appiah, Kingsley Richard et al. “Structural Organisation of Research Article Titles: A Comparative Study of Titles of Business, Gynaecology and Law.” Advances in Language and Literary Studies 10 (2019); Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; Jaakkola, Maarit. “Journalistic Writing and Style.” In Oxford Research Encyclopedia of Communication . Jon F. Nussbaum, editor. (New York: Oxford University Press, 2018): https://oxfordre.com/communication.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The scope of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used to study the problem

The initial aim of a title is to capture the reader’s attention and to highlight the research problem under investigation.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what has been done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you find yourself drifting off on a tangent while writing. The Final Title Effective titles in research papers have several characteristics that reflect general principles of academic writing.

• Indicate accurately the subject and scope of the study,
• Rarely use abbreviations or acronyms unless they are commonly known,
• Use words that create a positive impression and stimulate reader interest,
• Use current nomenclature from the field of study,
• Identify key variables, both dependent and independent,
• Reveal how the paper will be organized,
• Suggest a relationship between variables which supports the major hypothesis,
• Is limited to 5 to 15 substantive words,
• Does not include redundant phrasing, such as, "A Study of," "An Analysis of" or similar constructions,
• Takes the form of a question or declarative statement,
• If you use a quote as part of the title, the source of the quote is cited [usually using an asterisk and footnote],
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns, pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized, and
• Rarely uses an exclamation mark at the end of the title.

The Subtitle Subtitles are frequently used in social sciences research papers because it helps the reader understand the scope of the study in relation to how it was designed to address the research problem. Think about what type of subtitle listed below reflects the overall approach to your study and whether you believe a subtitle is needed to emphasize the investigative parameters of your research.

1.  Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions." [Palomares, Manuel and David Poveda.  Text & Talk: An Interdisciplinary Journal of Language, Discourse and Communication Studies 30 (January 2010): 193-212]

2.  Adds substance to a literary, provocative, or imaginative title or quote , e.g., "Listen to What I Say, Not How I Vote": Congressional Support for the President in Washington and at Home." [Grose, Christian R. and Keesha M. Middlemass. Social Science Quarterly 91 (March 2010): 143-167]

3.  Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine." [Marcu, Silvia. Geopolitics 14 (August 2009): 409-432]

4.  Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940." [Grossman, Hal B. Libraries & the Cultural Record 46 (2011): 102-128]

5.  Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy." [La Torre, Massimo. Sociologia del Diritto 28 (January 2001): 75 - 98]

6.  Identifies the methodology used , e.g. "Student Activism of the 1960s Revisited: A Multivariate Analysis Research Note." [Aron, William S. Social Forces 52 (March 1974): 408-414]

7.  Defines the overarching technique for analyzing the research problem , e.g., "Explaining Territorial Change in Federal Democracies: A Comparative Historical Institutionalist Approach." [ Tillin, Louise. Political Studies 63 (August 2015): 626-641.

With these examples in mind, think about what type of subtitle reflects the overall approach to your study. This will help the reader understand the scope of the study in relation to how it was designed to address the research problem.

Anstey, A. “Writing Style: What's in a Title?” British Journal of Dermatology 170 (May 2014): 1003-1004; Balch, Tucker. How to Compose a Title for Your Research Paper. Augmented Trader blog. School of Interactive Computing, Georgia Tech University; Bavdekar, Sandeep B. “Formulating the Right Title for a Research Article.” Journal of Association of Physicians of India 64 (February 2016); Choosing the Proper Research Paper Titles. AplusReports.com, 2007-2012; Eva, Kevin W. “Titles, Abstracts, and Authors.” In How to Write a Paper . George M. Hall, editor. 5th edition. (Oxford: John Wiley and Sons, 2013), pp. 33-41; Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; General Format. The Writing Lab and The OWL. Purdue University; Kerkut G.A. “Choosing a Title for a Paper.” Comparative Biochemistry and Physiology Part A: Physiology 74 (1983): 1; “Tempting Titles.” In Stylish Academic Writing . Helen Sword, editor. (Cambridge, MA: Harvard University Press, 2012), pp. 63-75; Nundy, Samiran, et al. “How to Choose a Title?” In How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide . Edited by Samiran Nundy, Atul Kakar, and Zulfiqar A. Bhutta. (Springer Singapore, 2022), pp. 185-192.

• << Previous: Applying Critical Thinking
• Next: Making an Outline >>
• Last Updated: Jun 18, 2024 10:45 AM
• URL: https://libguides.usc.edu/writingguide

7 experimental research title examples

Experimental research is a cornerstone of scientific investigation, providing a systematic method for researchers to examine cause-and-effect relationships in a controlled environment. It allows scientists to test hypotheses, make predictions, and draw meaningful conclusions. In this comprehensive article, we will explore a variety of experimental research titles and delve into the significance of each study. These examples highlight the versatility and impact of experimental research across different fields.

Table of Contents

• 1.1 The Effects of Sleep Deprivation on Cognitive Function
• 1.2 Evaluating the Efficiency of Solar Panels in Different Climates
• 1.3 The Influence of Music on Pain Perception during Medical Procedures
• 1.4 An Exploration of the Impact of Early Childhood Education on Academic Achievement
• 1.5 The Efficacy of a New Drug in Treating Alzheimer’s Disease
• 1.6 Investigating the Impact of Social Media on Adolescents’ Mental Health
• 1.7 Examining the Influence of Employee Training Programs on Workplace Productivity

experimental research title examples

Here are some examples of experimental research titles:

• The effects of caffeine on cognitive performance
• The impact of exercise on mood and anxiety
• The effectiveness of different teaching methods on student learning
• The influence of social media on adolescent mental health
• The relationship between sleep quality and academic achievement
• The impact of climate change on agricultural yields
• The effectiveness of different medical treatments for a particular disease
• The effects of a new drug on a specific condition
• The impact of a new educational program on student outcomes
• The effectiveness of a new environmental policy
• The relationship between two or more variables, such as socioeconomic status and crime rates
• The impact of a new intervention on a particular population

The Effects of Sleep Deprivation on Cognitive Function

Sleep is a fundamental aspect of human life, and its influence on cognitive function has been a topic of extensive experimental research. This study investigates the impact of sleep deprivation on memory, attention, and decision-making. By utilizing controlled experiments with varying durations of sleep deprivation, researchers can draw valuable insights into the relationship between sleep and cognitive performance.

Evaluating the Efficiency of Solar Panels in Different Climates

Renewable energy sources are crucial for a sustainable future. This experimental research aims to assess the efficiency of solar panels in various climates. By collecting data on solar energy production under different weather conditions, researchers can optimize the use of solar panels and contribute to the advancement of clean energy technologies.

The Influence of Music on Pain Perception during Medical Procedures

The relationship between music and pain perception has been a subject of growing interest. This experiment investigates how music can alleviate pain and reduce anxiety during medical procedures. By conducting controlled trials with patients, researchers can provide evidence-based recommendations for healthcare providers to improve the patient experience.

An Exploration of the Impact of Early Childhood Education on Academic Achievement

Early childhood education is a critical factor in shaping a child’s future success. This experimental study examines the long-term effects of early education programs on academic achievement. By comparing the outcomes of children who participated in such programs with those who did not, researchers can offer valuable insights for policymakers and educators.

The Efficacy of a New Drug in Treating Alzheimer’s Disease

Alzheimer’s disease is a devastating neurodegenerative condition with no cure. Experimental research is vital in the quest to develop effective treatments. This study focuses on testing the efficacy of a new drug in improving cognitive function and slowing disease progression. It employs controlled clinical trials to gather data on the drug’s safety and effectiveness.

Investigating the Impact of Social Media on Adolescents’ Mental Health

The pervasive use of social media among adolescents has raised concerns about its effects on mental health. This experimental research assesses the impact of social media usage on factors such as self-esteem, anxiety, and depression. By conducting surveys and controlled experiments, researchers aim to provide insights into the potential risks and benefits of social media for young people.

Examining the Influence of Employee Training Programs on Workplace Productivity

In the corporate world, employee training is a common practice. This study evaluates the effectiveness of various employee training programs in enhancing workplace productivity. Researchers employ controlled experiments and performance metrics to determine which training methods yield the best results.

Experimental research is a versatile and indispensable tool for exploring a wide range of topics across various disciplines. The examples provided in this article demonstrate the diversity and significance of experimental research in today’s world. Whether it’s improving healthcare, advancing technology, or understanding human behavior, experimental research continues to be at the forefront of scientific inquiry, pushing the boundaries of knowledge and innovation.

You may like it

colleges that have rolling admissions: Complete List in 2024

How to Find Free Government Phone Near Me Now

Who Created Standardized Testing and Its History: A Brief Overview

Best 10 business ideas for women in 2024/2025

College Tuition Reimbursement: Companies That Offer Tuition Reimbursement Programs

College Application Fees: Understanding the Costs of Applying to College

Leave a comment cancel reply.

Save my name, email, and website in this browser for the next time I comment.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

• Guide to Experimental Design | Overview, Steps, & Examples

Guide to Experimental Design | Overview, 5 steps & Examples

Published on December 3, 2019 by Rebecca Bevans . Revised on June 21, 2023.

Experiments are used to study causal relationships . You manipulate one or more independent variables and measure their effect on one or more dependent variables.

Experimental design create a set of procedures to systematically test a hypothesis . A good experimental design requires a strong understanding of the system you are studying.

There are five key steps in designing an experiment:

• Consider your variables and how they are related
• Write a specific, testable hypothesis
• Design experimental treatments to manipulate your independent variable
• Assign subjects to groups, either between-subjects or within-subjects
• Plan how you will measure your dependent variable

For valid conclusions, you also need to select a representative sample and control any  extraneous variables that might influence your results. If random assignment of participants to control and treatment groups is impossible, unethical, or highly difficult, consider an observational study instead. This minimizes several types of research bias, particularly sampling bias , survivorship bias , and attrition bias as time passes.

Table of contents

Step 1: define your variables, step 2: write your hypothesis, step 3: design your experimental treatments, step 4: assign your subjects to treatment groups, step 5: measure your dependent variable, other interesting articles, frequently asked questions about experiments.

You should begin with a specific research question . We will work with two research question examples, one from health sciences and one from ecology:

To translate your research question into an experimental hypothesis, you need to define the main variables and make predictions about how they are related.

Start by simply listing the independent and dependent variables .

Then you need to think about possible extraneous and confounding variables and consider how you might control  them in your experiment.

Finally, you can put these variables together into a diagram. Use arrows to show the possible relationships between variables and include signs to show the expected direction of the relationships.

Here we predict that increasing temperature will increase soil respiration and decrease soil moisture, while decreasing soil moisture will lead to decreased soil respiration.

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

Now that you have a strong conceptual understanding of the system you are studying, you should be able to write a specific, testable hypothesis that addresses your research question.

The next steps will describe how to design a controlled experiment . In a controlled experiment, you must be able to:

• Systematically and precisely manipulate the independent variable(s).
• Precisely measure the dependent variable(s).
• Control any potential confounding variables.

If your study system doesn’t match these criteria, there are other types of research you can use to answer your research question.

How you manipulate the independent variable can affect the experiment’s external validity – that is, the extent to which the results can be generalized and applied to the broader world.

First, you may need to decide how widely to vary your independent variable.

• just slightly above the natural range for your study region.
• over a wider range of temperatures to mimic future warming.
• over an extreme range that is beyond any possible natural variation.

Second, you may need to choose how finely to vary your independent variable. Sometimes this choice is made for you by your experimental system, but often you will need to decide, and this will affect how much you can infer from your results.

• a categorical variable : either as binary (yes/no) or as levels of a factor (no phone use, low phone use, high phone use).
• a continuous variable (minutes of phone use measured every night).

How you apply your experimental treatments to your test subjects is crucial for obtaining valid and reliable results.

First, you need to consider the study size : how many individuals will be included in the experiment? In general, the more subjects you include, the greater your experiment’s statistical power , which determines how much confidence you can have in your results.

Then you need to randomly assign your subjects to treatment groups . Each group receives a different level of the treatment (e.g. no phone use, low phone use, high phone use).

You should also include a control group , which receives no treatment. The control group tells us what would have happened to your test subjects without any experimental intervention.

When assigning your subjects to groups, there are two main choices you need to make:

• A completely randomized design vs a randomized block design .
• A between-subjects design vs a within-subjects design .

Randomization

An experiment can be completely randomized or randomized within blocks (aka strata):

• In a completely randomized design , every subject is assigned to a treatment group at random.
• In a randomized block design (aka stratified random design), subjects are first grouped according to a characteristic they share, and then randomly assigned to treatments within those groups.

Sometimes randomization isn’t practical or ethical , so researchers create partially-random or even non-random designs. An experimental design where treatments aren’t randomly assigned is called a quasi-experimental design .

Between-subjects vs. within-subjects

In a between-subjects design (also known as an independent measures design or classic ANOVA design), individuals receive only one of the possible levels of an experimental treatment.

In medical or social research, you might also use matched pairs within your between-subjects design to make sure that each treatment group contains the same variety of test subjects in the same proportions.

In a within-subjects design (also known as a repeated measures design), every individual receives each of the experimental treatments consecutively, and their responses to each treatment are measured.

Within-subjects or repeated measures can also refer to an experimental design where an effect emerges over time, and individual responses are measured over time in order to measure this effect as it emerges.

Counterbalancing (randomizing or reversing the order of treatments among subjects) is often used in within-subjects designs to ensure that the order of treatment application doesn’t influence the results of the experiment.

Prevent plagiarism. Run a free check.

Finally, you need to decide how you’ll collect data on your dependent variable outcomes. You should aim for reliable and valid measurements that minimize research bias or error.

Some variables, like temperature, can be objectively measured with scientific instruments. Others may need to be operationalized to turn them into measurable observations.

• Ask participants to record what time they go to sleep and get up each day.
• Ask participants to wear a sleep tracker.

How precisely you measure your dependent variable also affects the kinds of statistical analysis you can use on your data.

Experiments are always context-dependent, and a good experimental design will take into account all of the unique considerations of your study system to produce information that is both valid and relevant to your research question.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval
• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Likert scale

Research bias

• Implicit bias
• Framing effect
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hindsight bias
• Affect heuristic

Experimental design means planning a set of procedures to investigate a relationship between variables . To design a controlled experiment, you need:

• A testable hypothesis
• At least one independent variable that can be precisely manipulated
• At least one dependent variable that can be precisely measured

When designing the experiment, you decide:

• How you will manipulate the variable(s)
• How you will control for any potential confounding variables
• How many subjects or samples will be included in the study
• How subjects will be assigned to treatment levels

Experimental design is essential to the internal and external validity of your experiment.

The key difference between observational studies and experimental designs is that a well-done observational study does not influence the responses of participants, while experiments do have some sort of treatment condition applied to at least some participants by random assignment .

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word “between” means that you’re comparing different conditions between groups, while the word “within” means you’re comparing different conditions within the same group.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

Bevans, R. (2023, June 21). Guide to Experimental Design | Overview, 5 steps & Examples. Scribbr. Retrieved June 24, 2024, from https://www.scribbr.com/methodology/experimental-design/

Is this article helpful?

Rebecca Bevans

Other students also liked, random assignment in experiments | introduction & examples, quasi-experimental design | definition, types & examples, how to write a lab report, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

Writing Center: Experimental Research Papers

• How to Set Up an Appointment Online
• Documentation Styles
• Parts of Speech
• Types of Clauses
• Punctuation
• Spelling & Mechanics
• Usage & Styles
• Resources for ESL Students
• How to Set up an APA Paper
• How to Set up an MLA Paper
• Adapt to Academic Learning
• Audience Awareness
• Learn Touch Typing
• Getting Started
• Thesis Statement
• The First Draft
• Proofreading
• Writing Introductions
• Writing Conclusions
• Chicago / Turabian Style
• CSE / CBE Style
• Avoiding Plagiarism
• Cross-Cultural Understanding
• Writing Resources
• Research Paper - General Guidelines
• Annotated Bibliographies
• History Papers
• Science Papers
• Experimental Research Papers
• Exegetical Papers
• FAQs About Creative Writing
• Tips For Creative Writing
• Exercises To Develop Creative Writing Skills
• Checklist For Creative Writing
• Additional Resources For Creative Writing
• FAQs About Creating PowerPoints
• Tips For Creating PowerPoints
• Exercises to Improve PowerPoint Skills
• Checklist For PowerPoints
• Structure For GRE Essay
• Additional Resources For PowerPoints
• Additional Resources For GRE Essay Writing
• FAQs About Multimodal Assignments
• Tips For Creating Multimodal Assignments
• Checklist For Multimodal Assignments
• Additional Resources For Multimodal Assignments
• GRE Essay Writing FAQ
• Tips for GRE Essay Writing
• Sample GRE Essay Prompts
• Checklist For GRE Essays
• Cover Letter
• Personal Statements
• Resources for Tutors
• Chapter 2: Theoretical Perspectives on Learning a Second Language
• Chapter 4: Reading an ESL Writer's Text
• Chapter 5: Avoiding Appropriation
• Chapter 6: 'Earth Aches by Midnight': Helping ESL Writers Clarify Their Intended Meaning
• Chapter 7: Looking at the Whole Text
• Chapter 8: Meeting in the Middle: Bridging the Construction of Meaning with Generation 1.5 Learners
• Chapter 9: A(n)/The/Ø Article About Articles
• Chapter 10: Editing Line by Line
• Chapter 14: Writing Activities for ESL Writers
• Resources for Faculty
• Writing Center Newsletter
• Writing Center Survey

FAQs About Experimental Research Papers (APA)

What is a research paper? 

A researcher uses a research paper to explain how they conducted a research study to answer a question or test a hypothesis. They explain why they conducted the study, the research question or hypothesis they tested, how they conducted the study, the results of their study, and the implications of these results. 

What is the purpose of an experimental research paper? 

A research paper is intended to inform others about advancement in a particular field of study. The researcher who wrote the paper identified a gap in the research in a field of study and used their research to help fill this gap. The researcher uses their paper to inform others about the knowledge that the results of their study contribute. 

What sections are included in an experimental research paper?

A typical research paper contains a Title Page, Abstract, Introduction, Methods, Results, Discussion, and References section. Some also contain a Table and Figures section and Appendix section. 

What citation style is used for experimental research papers? 

APA (American Psychological Association) style is most commonly used for research papers. 

Structure Of Experimental Research Papers (APA)

• Answers the question of “What is this paper about and who wrote it?”
• Located on the first page of the paper 
• The author’s note acknowledges any support that the authors received from others
• A student paper also includes the course number and name, instructor’s name, and assignment due date
• Contains a title that summarizes the purpose and content of the research study and engages the audience 
• No longer than 250 words
• Summarizes important background information, the research questions and/or hypothesis, methods, key findings, and implications of the findings
• Explains what the topic of the research is and why the topic is worth studying
• Summarizes and discusses prior research conducted on the topic 
• Identifies unresolved issues and gaps in past research that the current research will address
• Ends with an overview of the current research study, including how the independent and dependent variables, the research questions or hypotheses, and the objective of the research 
• Explains how the research study was conducted 
• Typically includes 3 sections: Participants, Materials, and Procedure
• Includes characteristics of the subjects, how the subjects were selected and recruited, how their anonymity was protected, and what feedback was provided to the participants
• Describes any equipment, surveys, tests, questionnaires, informed consent forms, and observational techniques 
• Describes the independent and dependent variables, the type of research design, and how the data was collected
• Explains what results were found in the research study 
• Describes the data that was collected and the results of statistical tests 
• Explains the significance of the results 
• Accepts or denies the hypotheses 
• Details the implications of these findings 
• Addresses the limitations of the study and areas for future research 
• Includes all sources that were mentioned in the research study 
• Adheres to APA citation styles
• Includes all tables and/or figures that were used in the research study 
• Each table and figure is placed on a separate page 
• Tables are included before figures
• Begins with a bolded, centered header such as “ Table 1 ”
• Appends all forms, surveys, tests, etc. that were used in the study 
• Only includes documents that were referenced in the Methods section 
• Each entry is placed on a separate page 
• Begins with a bolded, centered header such as “ Appendix A ”

Tips For Experimental Research Papers (APA)

• Initial interest will motivate you to complete your study 
• Your entire study will be centered around this question or statement 
• Use only verifiable sources that provide accurate information about your topic 
• You need to thoroughly understand the field of study your topic is on to help you recognize the gap your research will fill and the significance of your results
• This will help you identify what you should study and what the significance of your study will be 
• Create an outline before you begin writing to help organize your thoughts and direct you in your writing 
• This will prevent you from losing the source or forgetting to cite the source 
• Work on one section at a time, rather than trying to complete multiple sections at once
• This information can be easily referred to as your write your various sections 
• When conducting your research, working general to specific will help you narrow your topic and fully understand the field your topic is in 
• When writing your literature review, writing from general to specific will help the audience understand your overall topic and the narrow focus of your research 
• This will prevent you from losing sources you may need later 
• Incorporate correct APA formatting as you write, rather than changing the formatting at the end of the writing process 

Checklist For Experimental Research Papers (APA)

• If the paper is a student paper, it contains the title of the project, the author’s name(s), the instructor's name, course number and name, and assignment due date
• If the paper is a professional paper, it includes the title of the paper, the author’s name(s), the institutional affiliation, and the author note
• Begins on the first page of the paper
• The title is typed in upper and lowercase letters, four spaces below the top of the paper, and written in boldface 
• Other information is separated by a space from the title

Title (found on title page)

• Informs the audience about the purpose of the paper 
• Captures the attention of the audience 
• Accurately reflects the purpose and content of the research paper 

Abstract 

• Labeled as “ Abstract ”
• Begins on the second page 
• Provides a short, concise summary of the content of the research paper 
• Includes background information necessary to understand the topic 
• Background information demonstrates the purpose of the paper
• Contains the hypothesis and/or research questions addressed in the paper
• Has a brief description of the methods used 
• Details the key findings and significance of the results
• Illustrates the implications of the research study 
• Contains less than 250 words

Introduction 

• Starts on the third page 
• Includes the title of the paper in bold at the top of the page
• Contains a clear statement of the problem that the paper sets out to address 
• Places the research paper within the context of previous research on the topic 
• Explains the purpose of the research study and what you hope to find
• Describes the significance of the study 
• Details what new insights the research will contribute
• Concludes with a brief description of what information will be mentioned in the literature review

Literature Review

• Labeled as “ Literature Review”
• Presents a general description of the problem area 
• Defines any necessary terms 
• Discusses and summarizes prior research on the selected topic 
• Identifies any unresolved issues or gaps in research that the current research plans to address
• Concludes with a summary of the current research study, including the independent and dependent variables, the research questions or hypotheses, and the objective of the research  
• Labeled as “ Methods ”
• Efficiently explains how the research study was conducted 
• Appropriately divided into sections
• Describes the characteristics of the participants 
• Explains how the participants were selected 
• Details how the anonymity of the participants was protected 
• Notes what feedback the participants will be provided 
• Describes all materials and instruments that were used 
• Mentions how the procedure was conducted and data collected
• Notes the independent and dependent variables 
• Includes enough information that another researcher could duplicate the research 

Results 

• Labeled as “ Results ”
• Describes the data was collected
• Explains the results of statistical tests that were performed
• Omits any analysis or discussion of the implications of the study 

Discussion 

• Labeled as “ Discussion ”
• Describes the significance of the results 
• Relates the results to the research questions and/or hypotheses
• States whether the hypotheses should be rejected or accepted 
• Addresses limitations of the study, including potential bias, confounds, imprecision of measures, and limits to generalizability
• Explains how the study adds to the knowledge base and expands upon past research
• Labeled as “ References ”
• Correctly cites sources according to APA formatting 
• Orders sources alphabetically
• All sources included in the study are cited in the reference section 

Table and Figures (optional)

•  Each table and each figure is placed on a separate page 
• Tables and figures are included after the reference page
• Tables and figures are correctly labeled
• Each table and figure begins with a bolded, centered header such as “ Table 1 ,” “ Table 2 ,”

Appendix (optional) 

• Any forms, surveys, tests, etc. are placed in the Appendix
• All appendix entries are mentioned in the Methods section 
• Each appendix begins on a new page
• Each appendix begins with a bolded, centered header such as “ Appendix A, ” “ Appendix B ”

Additional Resources For Experimental Research Papers (APA)

• https://www.mcwritingcenterblog.org/single-post/how-to-conduct-research-using-the-library-s-resources
• https://www.mcwritingcenterblog.org/single-post/how-to-read-academic-articles
• https://researchguides.ben.edu/source-evaluation   
• https://researchguides.library.brocku.ca/external-analysis/evaluating-sources
• https://writing.wisc.edu/handbook/assignments/planresearchpaper/
• https://nmu.edu/writingcenter/tips-writing-research-paper
• https://writingcenter.gmu.edu/guides/how-to-write-a-research-question
• https://www.unr.edu/writing-speaking-center/student-resources/writing-speaking-resources/guide-to-writing-research-papers
• https://drive.google.com/drive/folders/1F4DFWf85zEH4aZvm10i8Ahm_3xnAekal?usp=sharing
• https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
• https://libguides.elmira.edu/research
• https://www.nhcc.edu/academics/library/doing-library-research/basic-steps-research-process
• https://libguides.wustl.edu/research
• << Previous: Science Papers
• Next: Exegetical Papers >>
• Last Updated: Sep 14, 2023 10:30 AM
• URL: https://mc.libguides.com/writingcenter

• Langson Library
• Science Library
• Grunigen Medical Library
• Law Library
• Connect From Off-Campus
• Accessibility
• Gateway Study Center

Email this link

Writing a scientific paper.

• Writing a lab report

What is a "good" title?

"title checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018., other hints for writing a title.

• INTRODUCTION
• LITERATURE CITED
• Bibliography of guides to scientific writing and presenting
• Peer Review
• Presentations
• Lab Report Writing Guides on the Web

The title will be read by many people. Only a few will read the entire paper, therefore all words in the title should be chosen with care. Too short a title is not helpful to the potential reader. However too long a title can sometimes be even less meaningful. Remember a title is not an abstract. Also a title is not a sentence.

Goals: • Fewest possible words that describe the contents of the paper. • Avoid waste words like "Studies on", or "Investigations on" • Use specific terms rather than general • Watch your word order and syntax • Avoid abbreviations and jargon

 The title should be clear and informative, and should reflect the aim and approach of the work.

 The title should be as specific as possible while still describing the full range of the work. Does the title, seen in isolation, give a full yet concise and specific indication of the work reported?

 Do not mention results or conclusions in the title.

 Avoid: overly clever or punny titles that will not fare well with search engines or international audiences; titles that are too short to be descriptive or too long to be read; jargon, acronyms, or trademarked terms. 

• Whenever possible, use a declarative rather than a neutral title
• Don't end your title with a question mark?
• Begin with the keywords
• Use verbs instead of abstract nouns
• Avoid abbrev. in the title

From: How to Write and Illustrate a Scientific Paper (2008)

• << Previous: Writing a lab report
• Next: ABSTRACT >>
• Last Updated: Aug 4, 2023 9:33 AM
• URL: https://guides.lib.uci.edu/scientificwriting

Off-campus? Please use the Software VPN and choose the group UCIFull to access licensed content. For more information, please Click here

Software VPN is not available for guests, so they may not have access to some content when connecting from off-campus.

• Experimental Research Designs: Types, Examples & Methods

Experimental research is the most familiar type of research design for individuals in the physical sciences and a host of other fields. This is mainly because experimental research is a classical scientific experiment, similar to those performed in high school science classes.

Imagine taking 2 samples of the same plant and exposing one of them to sunlight, while the other is kept away from sunlight. Let the plant exposed to sunlight be called sample A, while the latter is called sample B.

If after the duration of the research, we find out that sample A grows and sample B dies, even though they are both regularly wetted and given the same treatment. Therefore, we can conclude that sunlight will aid growth in all similar plants.

What is Experimental Research?

Experimental research is a scientific approach to research, where one or more independent variables are manipulated and applied to one or more dependent variables to measure their effect on the latter. The effect of the independent variables on the dependent variables is usually observed and recorded over some time, to aid researchers in drawing a reasonable conclusion regarding the relationship between these 2 variable types.

The experimental research method is widely used in physical and social sciences, psychology, and education. It is based on the comparison between two or more groups with a straightforward logic, which may, however, be difficult to execute.

Mostly related to a laboratory test procedure, experimental research designs involve collecting quantitative data and performing statistical analysis on them during research. Therefore, making it an example of quantitative research method .

What are The Types of Experimental Research Design?

The types of experimental research design are determined by the way the researcher assigns subjects to different conditions and groups. They are of 3 types, namely; pre-experimental, quasi-experimental, and true experimental research.

Pre-experimental Research Design

In pre-experimental research design, either a group or various dependent groups are observed for the effect of the application of an independent variable which is presumed to cause change. It is the simplest form of experimental research design and is treated with no control group.

Although very practical, experimental research is lacking in several areas of the true-experimental criteria. The pre-experimental research design is further divided into three types

• One-shot Case Study Research Design

In this type of experimental study, only one dependent group or variable is considered. The study is carried out after some treatment which was presumed to cause change, making it a posttest study.

• One-group Pretest-posttest Research Design: 

This research design combines both posttest and pretest study by carrying out a test on a single group before the treatment is administered and after the treatment is administered. With the former being administered at the beginning of treatment and later at the end.

• Static-group Comparison: 

In a static-group comparison study, 2 or more groups are placed under observation, where only one of the groups is subjected to some treatment while the other groups are held static. All the groups are post-tested, and the observed differences between the groups are assumed to be a result of the treatment.

Quasi-experimental Research Design

  The word “quasi” means partial, half, or pseudo. Therefore, the quasi-experimental research bearing a resemblance to the true experimental research, but not the same.  In quasi-experiments, the participants are not randomly assigned, and as such, they are used in settings where randomization is difficult or impossible.

 This is very common in educational research, where administrators are unwilling to allow the random selection of students for experimental samples.

Some examples of quasi-experimental research design include; the time series, no equivalent control group design, and the counterbalanced design.

True Experimental Research Design

The true experimental research design relies on statistical analysis to approve or disprove a hypothesis. It is the most accurate type of experimental design and may be carried out with or without a pretest on at least 2 randomly assigned dependent subjects.

The true experimental research design must contain a control group, a variable that can be manipulated by the researcher, and the distribution must be random. The classification of true experimental design include:

• The posttest-only Control Group Design: In this design, subjects are randomly selected and assigned to the 2 groups (control and experimental), and only the experimental group is treated. After close observation, both groups are post-tested, and a conclusion is drawn from the difference between these groups.
• The pretest-posttest Control Group Design: For this control group design, subjects are randomly assigned to the 2 groups, both are presented, but only the experimental group is treated. After close observation, both groups are post-tested to measure the degree of change in each group.
• Solomon four-group Design: This is the combination of the pretest-only and the pretest-posttest control groups. In this case, the randomly selected subjects are placed into 4 groups.

The first two of these groups are tested using the posttest-only method, while the other two are tested using the pretest-posttest method.

Examples of Experimental Research

Experimental research examples are different, depending on the type of experimental research design that is being considered. The most basic example of experimental research is laboratory experiments, which may differ in nature depending on the subject of research.

Administering Exams After The End of Semester

During the semester, students in a class are lectured on particular courses and an exam is administered at the end of the semester. In this case, the students are the subjects or dependent variables while the lectures are the independent variables treated on the subjects.

Only one group of carefully selected subjects are considered in this research, making it a pre-experimental research design example. We will also notice that tests are only carried out at the end of the semester, and not at the beginning.

Further making it easy for us to conclude that it is a one-shot case study research. 

Employee Skill Evaluation

Before employing a job seeker, organizations conduct tests that are used to screen out less qualified candidates from the pool of qualified applicants. This way, organizations can determine an employee’s skill set at the point of employment.

In the course of employment, organizations also carry out employee training to improve employee productivity and generally grow the organization. Further evaluation is carried out at the end of each training to test the impact of the training on employee skills, and test for improvement.

Here, the subject is the employee, while the treatment is the training conducted. This is a pretest-posttest control group experimental research example.

Evaluation of Teaching Method

Let us consider an academic institution that wants to evaluate the teaching method of 2 teachers to determine which is best. Imagine a case whereby the students assigned to each teacher is carefully selected probably due to personal request by parents or due to stubbornness and smartness.

This is a no equivalent group design example because the samples are not equal. By evaluating the effectiveness of each teacher’s teaching method this way, we may conclude after a post-test has been carried out.

However, this may be influenced by factors like the natural sweetness of a student. For example, a very smart student will grab more easily than his or her peers irrespective of the method of teaching.

What are the Characteristics of Experimental Research?  

Experimental research contains dependent, independent and extraneous variables. The dependent variables are the variables being treated or manipulated and are sometimes called the subject of the research.

The independent variables are the experimental treatment being exerted on the dependent variables. Extraneous variables, on the other hand, are other factors affecting the experiment that may also contribute to the change.

The setting is where the experiment is carried out. Many experiments are carried out in the laboratory, where control can be exerted on the extraneous variables, thereby eliminating them. 

Other experiments are carried out in a less controllable setting. The choice of setting used in research depends on the nature of the experiment being carried out.

• Multivariable

Experimental research may include multiple independent variables, e.g. time, skills, test scores, etc.

Why Use Experimental Research Design?  

Experimental research design can be majorly used in physical sciences, social sciences, education, and psychology. It is used to make predictions and draw conclusions on a subject matter. 

Some uses of experimental research design are highlighted below.

• Medicine: Experimental research is used to provide the proper treatment for diseases. In most cases, rather than directly using patients as the research subject, researchers take a sample of the bacteria from the patient’s body and are treated with the developed antibacterial

The changes observed during this period are recorded and evaluated to determine its effectiveness. This process can be carried out using different experimental research methods.

• Education: Asides from science subjects like Chemistry and Physics which involves teaching students how to perform experimental research, it can also be used in improving the standard of an academic institution. This includes testing students’ knowledge on different topics, coming up with better teaching methods, and the implementation of other programs that will aid student learning.
• Human Behavior: Social scientists are the ones who mostly use experimental research to test human behaviour. For example, consider 2 people randomly chosen to be the subject of the social interaction research where one person is placed in a room without human interaction for 1 year.

The other person is placed in a room with a few other people, enjoying human interaction. There will be a difference in their behaviour at the end of the experiment.

• UI/UX: During the product development phase, one of the major aims of the product team is to create a great user experience with the product. Therefore, before launching the final product design, potential are brought in to interact with the product.

For example, when finding it difficult to choose how to position a button or feature on the app interface, a random sample of product testers are allowed to test the 2 samples and how the button positioning influences the user interaction is recorded.

What are the Disadvantages of Experimental Research?  

• It is highly prone to human error due to its dependency on variable control which may not be properly implemented. These errors could eliminate the validity of the experiment and the research being conducted.
• Exerting control of extraneous variables may create unrealistic situations. Eliminating real-life variables will result in inaccurate conclusions. This may also result in researchers controlling the variables to suit his or her personal preferences.
• It is a time-consuming process. So much time is spent on testing dependent variables and waiting for the effect of the manipulation of dependent variables to manifest.
• It is expensive. 
• It is very risky and may have ethical complications that cannot be ignored. This is common in medical research, where failed trials may lead to a patient’s death or a deteriorating health condition.
• Experimental research results are not descriptive.
• Response bias can also be supplied by the subject of the conversation.
• Human responses in experimental research can be difficult to measure. 

What are the Data Collection Methods in Experimental Research?  

Data collection methods in experimental research are the different ways in which data can be collected for experimental research. They are used in different cases, depending on the type of research being carried out.

1. Observational Study

This type of study is carried out over a long period. It measures and observes the variables of interest without changing existing conditions.

When researching the effect of social interaction on human behavior, the subjects who are placed in 2 different environments are observed throughout the research. No matter the kind of absurd behavior that is exhibited by the subject during this period, its condition will not be changed.

This may be a very risky thing to do in medical cases because it may lead to death or worse medical conditions.

2. Simulations

This procedure uses mathematical, physical, or computer models to replicate a real-life process or situation. It is frequently used when the actual situation is too expensive, dangerous, or impractical to replicate in real life.

This method is commonly used in engineering and operational research for learning purposes and sometimes as a tool to estimate possible outcomes of real research. Some common situation software are Simulink, MATLAB, and Simul8.

Not all kinds of experimental research can be carried out using simulation as a data collection tool . It is very impractical for a lot of laboratory-based research that involves chemical processes.

A survey is a tool used to gather relevant data about the characteristics of a population and is one of the most common data collection tools. A survey consists of a group of questions prepared by the researcher, to be answered by the research subject.

Surveys can be shared with the respondents both physically and electronically. When collecting data through surveys, the kind of data collected depends on the respondent, and researchers have limited control over it.

Formplus is the best tool for collecting experimental data using survey s. It has relevant features that will aid the data collection process and can also be used in other aspects of experimental research.

Differences between Experimental and Non-Experimental Research 

1. In experimental research, the researcher can control and manipulate the environment of the research, including the predictor variable which can be changed. On the other hand, non-experimental research cannot be controlled or manipulated by the researcher at will.

This is because it takes place in a real-life setting, where extraneous variables cannot be eliminated. Therefore, it is more difficult to conclude non-experimental studies, even though they are much more flexible and allow for a greater range of study fields.

2. The relationship between cause and effect cannot be established in non-experimental research, while it can be established in experimental research. This may be because many extraneous variables also influence the changes in the research subject, making it difficult to point at a particular variable as the cause of a particular change

3. Independent variables are not introduced, withdrawn, or manipulated in non-experimental designs, but the same may not be said about experimental research.

Conclusion  

Experimental research designs are often considered to be the standard in research designs. This is partly due to the common misconception that research is equivalent to scientific experiments—a component of experimental research design.

In this research design, one or more subjects or dependent variables are randomly assigned to different treatments (i.e. independent variables manipulated by the researcher) and the results are observed to conclude. One of the uniqueness of experimental research is in its ability to control the effect of extraneous variables.

Experimental research is suitable for research whose goal is to examine cause-effect relationships, e.g. explanatory research. It can be conducted in the laboratory or field settings, depending on the aim of the research that is being carried out. 

Connect to Formplus, Get Started Now - It's Free!

• examples of experimental research
• experimental research methods
• types of experimental research
• busayo.longe

You may also like:

Response vs Explanatory Variables: Definition & Examples

In this article, we’ll be comparing the two types of variables, what they both mean and see some of their real-life applications in research

Simpson’s Paradox & How to Avoid it in Experimental Research

In this article, we are going to look at Simpson’s Paradox from its historical point and later, we’ll consider its effect in...

What is Experimenter Bias? Definition, Types & Mitigation

In this article, we will look into the concept of experimental bias and how it can be identified in your research

Experimental Vs Non-Experimental Research: 15 Key Differences

Differences between experimental and non experimental research on definitions, types, examples, data collection tools, uses, advantages etc.

Formplus - For Seamless Data Collection

Collect data the right way with a versatile data collection tool. try formplus and transform your work productivity today..

45+ Experimental Research Topics And Examples For School & College Students

Sourav Mahahjan

Whether it is school or college, identifying a good and quality research topic can take time for students. Experimental research, also known as methodological or analytical research, uses two or more variables and arguments for a particular scenario. In this type of argument, the influence of the independent variable on the dependent variable is considered when conducting an experimental exploration. To make a particular decision in empirical research, it is important to provide a large number of evidence. The evidence collected in practical research helps identify the consequences and reasons related to different quantities of the variables. Experimental research design is an important part of the academic cycle of any student, and often, the student needs help in preparing experimental research designs. Different types of experimental research are available for the students, such as pre-experimental research, accurate experimental research, and quasi-experimental research.

What are the different types of experimental research?

Different subjects and topics required different types of experimental research. Some commonly used experimental research are quasi-experimental research, true experiment research, and pre-experimental research.

What are the different elements of experimental research?

Any experimental research consists of three essential elements. The first element is the independent variable, which the researcher manipulates. The second variable is the dependent variable, which changes according to the first variable's manipulation. The third element is the controlled variable, which is kept constant to prevent any kind of impact on the effects created by the independent variable after the manipulation by the researcher.

What are the advantages and disadvantages of experimental research?

The use of experimental research by the researcher helps provide strong evidence regarding the different types of cause-and-impact relationships in different scenarios. The experimental research service allows the researcher to maintain control of various elements of the experimental environment. On the other hand, one of the significant disadvantages of experimental research is that it is a very time-consuming process, and sometimes, the results obtained may be disconnected from the ordinary world. 

Examples of experimental research titles:

Creating an experimental research design is very frustrating, and selecting the appropriate title becomes essential as it forms the basis of experimental research. Before choosing a topic, it becomes necessary for the students to find out literature providing disparity and research provision. This results in investing significant time and effort to search for an appropriate experimental research title. This makes the students lose patience and select the wrong research topic, impacting the overall quality of experimental research.  Examples of experimental research design are

Experimental research titles on natural science for school students:

• Impact of Light  on the Plant Growth
• Role of Different Salt Concentrations over the Freezing Point of Water
• Comparing Battery Life among Different Brands
• Analysis of  pH on Enzyme Activity
• Impact of Magnet Strength on a Paperclip over a long distance

Experimental research design on behavioural science for school students:

• Role of music in affecting Concentration
• Individual Study vs Group Study on Academic Performance
• Part of Reward Systems on Increasing Student Motivation
• Impact of Various Colors on Mood
• How Sleep Patterns Effect Academic Performance

Experimental Research title on Social Science for college students:

• Part of  Socioeconomic Status over the Mental Health
• How Media Representation influences the body image of an individual 
• Bilingual Education and their Role in Academic Success
• importance of Social Media during Political Campaigns
• How Gender Stereotypes Influence the Career Choices in the society

Experimental Research title on natural Science for college students:

• What is the role of Genetics in causing Obesity? 
• How Climate Change Affects the Marine Life
• Role of Pesticides in declining Bee Populations
• Increasing Pollution and Its Impact on Urban Wildlife
• What is the role of microplastics in the destruction of Freshwater Ecosystems

Experimental Research title on applied Science for college students:

• How Machine Learning Algorithms are helping in predicting Stock Prices? 
• How is data Encryption improving Data Security?
• How does Aerodynamics influence the vehicle Fuel Efficiency? 
• Bridge Stability and its dependency on the material properties.
• How do different Angles of solar panel impacts their efficiency?

Experimental research titles in health science for college students:

• How does Exercise help in managing Type 2 Diabetes? 
• Cognitive Performance under the influence of caffeine
• How do Plant-Based Diets improve our heart health?
• How do Different Forms of Physical therapy help speed the process of Knee Rehabilitation?
• Mindfulness Meditation and their Impact on Stress Reduction

Experimental titles on environmental studies for college students:

• How does deforestation affect the  Local Climate?
• What are the Different types of Oil Spill Cleanup methods, and how effective are they? 
• Does Organic Farming help in improving Crop Yield?
• What is the role of noise Pollution on the growth of  Urban Wildlife?
• Impacts of increasing E-Waste on Soil Quality

Experimental research topics for computer studies in colleges:

• What are the  different Sorting Algorithms
• Analysing the security efficiency of various types of  password Policies
• How User Experience depends on the user interface
• Artificial Intelligence  and Its Importance in Image Recognition
• Energy Efficiency analysis between different types of  computer processors

Experimental research topics for college students on economics:

• How do economic policies impact the Inflation growth in the economy?
• How does microfinance can help in reducing poverty in the society? 
• Globalisation and its Impact on Small Businesses
• Why do exchange rates are essential for the export market?
• Role of Large Scale Unemployment Rates in increasing crime Rates

Tips for selecting suitable experimental research title:

Establishing the appropriate research title is very helpful in completing a practical research assignment . Some of the recommendations for the students are 

• Interest:  The research tile should be based on the student's interest. This helps in improving the quality of the research.
• Relevance:  The selected title should be relevant to the subject of the student.  It should fulfil the objectives of the course. 
• Feasibility:  The selected topic should be practical and have adequate resources required for the study. 

Conclusion 

Experimental research is essential in conducting scientific inquiry during an academic study. Experimental research helps students use their knowledge to improve their problem-solving and critical-thinking abilities in their academic cycle.

Editor's Choice

200 best 5 minute speech topic ideas, 200+ transition words for essays, 50+ best research topics on humanities & social sciences, most difficult topics in mathematics, 15+ most useful websites for college students in 2024, 50+ educational research topics & ideas for students, how to write bibliography for project complete guide for students.

We are here to help you!

Explore Topics

Related articles.

Annotated Bibliography topics for students

What is an annotated bibliography?An annotated bibliography is considered a list...

Weighted Vs Unweighted GPA & Cumulative GPA: What's the difference?

Weighted vs Unweighted GPA & Cumulative GPA: What's the Difference?GPA is on...

Different types of Research Gap in Literature Review

Research gaps are an essential part of any literature review. However, the resea...

146 Experiment Research Topics

Welcome to our collection of experimental research topics! Experiments are the cornerstone of empirical research, allowing scholars to test hypotheses and expand knowledge. With our experimental research questions ideas, you can uncover the diverse realms of empirical studies, from the natural sciences to social sciences and beyond.

🧪 7 Best Experimental Research Questions Ideas

🏆 best experimental research topics, 💡 simple experimental essay titles, 👍 catchy experimental research questions ideas, ❓ more experimental research questions ideas, 🎓 interesting experimental research topics.

• Bean Seed Germination Experiment Results
• Water Quality and Contamination Experiment Report
• Static and Kinetic Friction: A Lab Experiment
• Physical Health Indicator: Pulse Rate Experiment
• Experiment: Flame Test and Chemical Fingerprinting
• Motor Speed and Input Characteristics Experiment
• Kant’s Ethical Philosophy and Milgram’s Experiments
• Archimedes’ Principle Experiment: Determining Gravity of Objects This paper describes an experiment that aims in determining the specific gravity of different metallic objects, a liquid, and wood.
• Fiji Water Quality: Biology Lab Experiment Since Fiji water is among the popular brands in the US, it is essential to evaluate whether it is clean, that is, safe for human consumption.
• “Stanford Prison Experiment Ethics” by Philip Zimbardo The primary purpose of Zimbardo’s work was to explore how quickly individuals would identify with corrections officers and prisoner roles during the prison simulation.
• Scientific Report Draft on Osmosis Egg Experiment Understanding how an egg reacts when placed in solutions of different concentrations enables one to understand the role of osmosis in the human body.
• Metal and Non-metal Redox Reactions Experiment The following experiment aimed to investigate Redox reaction and hence determine which elements were reactive; metal v. metal redox reactions, and non-metal v. non-metal reactions.
• Chemical Experiment on Enzyme Amylase This paper presents an experiment that was conducted to determine the activity of amylase on starch at various pH levels.
• Helicopter Experiment Assessment This report of a paper helicopter experiment involved designating a paper helicopter in varied designs and then dropping it severally while recording the flight time.
• John Watson and the “Little Albert” Experiment John Watson is considered to be the founder of behaviorism, a psychological theory that focuses on visible behavior while diminishing the notion of consciousness.
• Should Animals Be Used for Scientific Experiments? Unfortunately, at the moment, the use of animals in science and medicine cannot be excluded entirely. However, it is possible to conduct experiments using mathematical models.
• Human Transport Systems: The Pulse Rate Experiment The report provides an analysis of the pulse rate experiment aimed at determining the pulse rates before and after a five-minute exercise conducted by the researcher.
• Conducting a Titration Experiment Titration studies are conducted to quantify the amount of an unidentified element in the sample using a methodological approach.
• Air Pressure Experiment Methods and Results The plastic mesh fabric was placed over the mouth of the Mason jar, and the metal screw band of the latter was fastened firmly over the plastic mesh sheet.
• P. Zimbardo’s Stanford Experiment A psychological experiment is an event conducted to acquire new scientific knowledge about psychology through the researcher’s deliberate intervention in the life of the examinee.
• Putnam’s “Twin Earth” Thought-Experiment Throughout the history of analytic philosophy, the problem of meaning has been and remains one of its central themes.
• Unethical Research Experiments Violation of ethical principles can be traced in two analyzed cases; only in Landis’s experiment harm and killing were real in relation to animals.
• Why People Obey Authority: Milgram Experiment and Real-World Situation Human beings would obey authority depending on the overall rewards, potential personal gains, and the consequences of failing to do so.
• Hawthorne Experiments – Elton Mayo With Roethlisberger and Dickson The Hawthorne theories have brought about a positive change in the behavior and attitude of the managers as well as the workers.
• Ideal Gas Expansion Law: Experiment The purpose of the experiment was to understand the differences between different types of ideal gas expansions, paying attention to the amount of work done.
• Social Experiment: Wrong Outfit in a Wedding Event The attendees of the wedding event displayed disappointment, discomfort, and open resentment towards the dressing style.
• Scientific Experiments on Animals from Ethical Perspectives This paper discusses using animals in scientific experiments from the consequentialist, Kantian deontological and Donna Yarri’s Christian character-based perspectives.
• The Marshmallow Experiment Articles The two works, “Don’t Eat the Marshmallow” by Joachim de Posada and “Why Rich Kids Are So Good at the Marshmallow Test” by Anindya Kundu, both focus on the marshmallow experiment.
• The Stanford Prison Experiment Analysis Abuse between guards and prisoners is an imminent factor attributed to the differential margin on duties and responsibilities.
• Psychology: Milgram Obedience Experiment Milgram’s experiment may be the last psychological experiment that has had a significant impact on psychology and public opinion.
• Stanford Prison Experiment: Behind the Mask Stanford Prison Experiment organized by Stanford researcher Philip Zimbardo led to a strong public response and still discussed today.
• “Tuskegee Syphilis Experiment – The Deadly Deception”: Unethical Scientific Experiment “Tuskegee Syphilis Experiment – The Deadly Deception” reviews an unethical scientific experiment on humans that was conducted by White physicians on African-Americans.
• The Power of Conformity: Asch’s Experiments The article examines a series of experiments by Asch that helped him identify the factors influencing social conformity.
• Social Experiment: Informal Norms of Gender Issues The social experiment presents a contradiction between the socially-accepted norms and the understanding of equality between men and women.
• Acoustics Experiment in Brunel’s Thames Tunnel In this project, tunnels that exist below London streets for a variety of communications, civil defense, and military purposes will be used as the objects of the experiment.
• Osmosis Experiment With Parsnip Through Differing Concentration of Sucrose
• Identifying the Benefits of Home Ownership: A Swedish Experiment
• Experiment for Cancer Risk Factors
• Hydrochloric Acid Into Tubes of Water and Sodium Thiosulphate Experiment
• General Information about Monkey Drug Trials Experiment
• Reaction Rates Experiment Hydrochloric Acid
• Hydrochloric Acid and Marble Chips Experiment
• Physical Disability and Labor Market Discrimination: Evidence From a Field Experiment
• Canadian Advanced Nanosatellite Experiment Biology
• Dr. Heidegger’s Experiment: Reality or Illusion
• Experiment and Multi-Grid Modeling of Evacuation From a Classroom
• High-Performance Liquid Chromatography Experiment
• Social Capital and Contributions in a Public-Goods Experiment
• Illusory Gains From Chile’s Targeted School Voucher Experiment
• Short Selling and Earnings Management: A Controlled Experiment
• Theft and Rural Poverty: Results of a Natural Experiment
• Lab Experiment: The Effectiveness of Different Antibiotics on Bacteria
• Brucellosis and Its Treatment: Experiment With Doxycycline
• The Link Between Stanford Prison Experiment and Milgram Study
• Four Fundamental Results From the Mice Experiment
• Virtue Ethics in Stanford and Milgram’s Experiments This paper investigates the notion of virtue ethics, discussing two major studies, the Stanford prison experiment, and Milgram’s obedience studies.
• Isopods and Their Use in Experiments Isopod is a large family belonging to the crayfish order. The fact that isopods are good to use in various experiments is related to their habitat.
• Miles Davis and Steve Reich: Geniuses of Experiments and Creativity Although Miles Davis’ and Steve Reich’s music belongs to different genres, they are connected in their constant search for a new sound by experimenting and improvising.
• A Hypothesis and an Experiment: A Case Study On the control experiment, there would be a seed grown at normal aeration, and wind conditions. All should have a viable bean seed planted centrally on watered soil preferably.
• Ideal Experiment Design: Independent and Dependent Variables This work describes the ideal experiment, that is designed to verify the causal relationship between independent and dependent variables.
• Ethical Analysis of the Tuskegee Syphilis Experiments The Tuskegee Syphilis Study failed to take into account several critical ethical considerations. This essay examines some of the ethical problems linked to the investigation.
• The Use of Animals in Psychological Experiments The method of experimentation is of great significance for multiple fields of psychology, especially for the behaviorist branch.
• Metrology Experiment with Measurement Tools The experiment concerned testing the efficacy of the measurement tools such as the Vernier caliper, a depth gauge, a micrometer, and a gauge in an uncertainty analysis.
• The Stanford Prison Experiment The Stanford prison experiment is an example of how outside social situations influence changes in thought and behavior among humans.
• Situation, Institutional Norms, and Roles: The Stanford Experiment of Zimbardo Philip Zimbardo’s Stanford Experiment brought him critical acclaim. At the same time, it accorded him a certain level of notoriety; because of the methodologies he utilized to conduct the experiment.
• Pasture Experiment: Fertiliser Treatments Response This work is an experiment that defines the role of fertilizers in pasture production and to establish the appropriate use of pasture sampling to assess pasture mass.
• The Importance of Safety in Chemical Experiments Chemical experiments can teach students a lot and show new unknown properties of substances. To protect oneself and others, it is crucial to adhere to rules.
• The Stanford Prison Experiment’s Historical Record The Stanford Prison Experiment is a seminal investigation into the dynamics of peer pressure in human psychology.
• Socioeconomic Status and Sentencing Severity Experiment There are two types of validity threats: external and internal. External validity refers to the degree to which the study can be applied to situations outside the research context.
• Psychology: Zimbardo Prison Experiment Despite all the horrors that contradict ethics, Zimbardo’s research contributed to the formation of social psychology. It was unethical to conduct this experiment.
• Post-Covid Adaptation Laboratory Experiment The goal of the laboratory experiment that this paper will outline is to test the hypothesis about the needs of senior citizens in the post-pandemic era.
• Predicting the Replicability of Social Science Lab Experiments The quality of work is the most significant factor for any academic organization. A research process for any scientific project requires careful evaluation of information sources.
• Moral Dilemma and Thought Experiments The aim of this essay is to set up a thought experiment in which a moral dilemma must be resolved. A person is invited to make a choice as a result of which people should suffer.
• Experiments in High-Frequency Trading High-frequency trading (HFT) is becoming increasingly popular with private businesses and traders. HFT allows traders to make transactions within fractions of seconds.
• The Ethical Issues in 1940’s U.S. Experiments With Syphilis in Guatemala The Guatemala tests have been viewed as a dark side of the U.S. clinical examination: in the 1940s, they purposely uncovered over 5,000 individuals with syphilis and gonorrhea.
• Sociological Experiment: The Salience of Social Norms Based on the sociological experiment described in the paper, the author demonstrated the salience of social norms that exist in our culture.
• Thought Experiment: The Morality of Human Actions A thought experiment aimed at assessing the morality of human actions motivated by divine punishment or reward raises the question of morality and religion correlation.
• Inductor-Capacitor-Resistor Circuit Experiment The article presents the experiment that will demonstrate the relationship between an inductor, voltmeter, and resistor in an inductor-capacitor-resistor (LCR) circuit.
• Ethical Implications of the Early Studies in Psychology: Milgram’s Experiment Milgram’s experiment on obedience content and results are valuable for understanding the ethical issues that may occur in social and behavioral research.
• Blue-Eyed vs. Brown-Eyed Experiment Elliot exposed the learners to discrimination, in which blue-eyed children were initially preferred and given more privileges in the classroom than brown-eyed students.
• Experiment: Science Meets Real Life The experiment involves the sequential study of the dog’s behavior and its reaction to a change in some factors, such as food and bowl.
• Experiment on Effect of Energy Drinks on Athletic Performance Experimental research is a study that a researcher sets up to evaluate a given situation, such as a drug or treatment intervention.
• Smoking: An Idea for a Statistical Experiment The hypothesis is that people who smoke cigarettes daily tend to earn more than others: this is a personal observation that requires careful experimental testing.
• The Stanford Jail Experiment Critiques One of the most important critiques leveled at the Stanford Jail Experiment is the length of time it took Zimbardo to call a halt to the experiment.
• Super Size Me and Jogn Cisna Experiments In comparison to Super Size Me, the experiment of John Cisna immediately stands out with a positive attitude towards fast food.
• Can Nonrandomized Experiments Yield Accurate Answers?
• What Kind of Experiments Are Done on Animals?
• Is It Good to Use Animals for Experiments?
• What Are the Types of Experiments?
• Is There Any Healthy Way to Experiment With Drugs?
• What Are the Top Experiments of All Time?
• Are Breaching Experiments Ethical?
• What Does It Mean to Experiment With a Drug?
• Why Do We Use Factorial Experiments?
• How Does Temperature Affect the Rate of Reaction Experiment?
• What Are the Easiest Experiments to Do?
• How Can Rushing Harm the Data and the Experiment Overall?
• What Are the Steps to a Science Experiment?
• How Do Errors Affect the Experiment?
• What Is the Purpose of the Wax Experiment and What Conclusion Does Descartes Reach on Its Basis?
• Can an Experiment Be Invalid but Reliable?
• What Is the Most Influential Experiment in Psychology?
• Why Are Fruit Flies Used for Experiments?
• How Can You Improve the Accuracy of an Experiment?
• What Was Galileo’s Famous Cannonball Drop Experiment?
• What Can Knowledge Be Gained From Conducting a Breaching Experiment?
• How Do You Identify the Independent and Dependent Variables in an Experiment?
• What Was Griffith’s Experiment and Why Was It Important?
• What Is the Difference Between Contingent Valuation and Choice Experiment?
• What Is the Choice Experiment Valuation Method?
• The Milgram Experiment: Ethical Issues The Milgram experiment is a controversial study on the subject of obedience to authority figures. The participants were asked to deliver electric shocks to other people.
• Health and Medicine: Experiments and Discussions In the first experiment, researchers tested the subjectivity of polygraph examiners’ assessments. The specialist was given a specific name before the test began to do it.
• An Experiment in DNA Cloning and Sequencing The aim of this experiment is to clone a fragment of DNA that includes the Green Fluorescent Protein (GFP) gene into the vector pTTQ18, which is an expression vector.
• Lab Experiment on Animals’ Taste or Smell Senses The hypothesis of the study is that taste perception and detection of different sugars by insects were similar to that of humans.
• Triacylglycerols: Definition and Extraction Experiment The sequence of the triacylglycerols matches the published data for linseed as a source to extract triacylglycerol compounds.
• An Enzyme Linked Immunosorbent Assay Experiment In our society presently, immunoassay techniques used in data analyses have assumed a place of high significance, particularly as it applies to pure/applied research.
• Anaerobic Threshold: An Experiment Anaerobic Threshold refers to the minimum level below which no increase in blood lactose can occur. At levels above AT, supplementing aerobic production needs aerobic energy.
• Comparative Effectiveness of Various Surfactants: Experiment Surfactants refer to chemical substances that lessen the surface tension in water. This experiment aimed at establishing the comparative effectiveness of various surfactants.
• An Experiment on Data Mining Extend This experiment aims to utilize knowledge and principles of data mining in depicting the investigation of emergent data in biology- particularly on the development of ELISAs.
• Bolted & Welded Connections and Tension Experiment Exploring and comparing the expected and actual failure modes of both bottled and welded connections in tension are the primary purposes of the paper.
• Lab Experiment on Photovoltaics The experiment was done specifically to ascertain how various connected units could be coordinated to give a more reliable and controllable functioning.
• Mind Control: Ethics of the Experiment The topics of mind control and free will has always been seen as a morally grey area in terms of its research potential.
• A Personal Behavior Modification Experiment Using Operant Conditioning This research paper points out the positive outcomes of swearing: it can relieve stress and help one cope with emotional work.
• Jane Elliott’s Experiment on Discrimination The teacher Jane Elliott from Iowa decided to conduct an experiment demonstrating to her students what discrimination is and what it feels like.
• The Tuskegee Syphilis Experiment When the Tuskegee Syphilis Experiment was begun, over 75 years ago, no such principles were officially in place.
• Extraneous Variables in Experiments There are some variables in experiments besides the independent variables that usually cause a variation or a change to the dependent variables.
• The Critical Characteristics of an Experiment The main aim of this assignment is to evaluate the thought control experiment by famous psychologist Ellen Langer and determine whether it is a qualitative experiment.
• Milgram Experiment: The Question of Ethics This essay will discuss the Milgram experiment and also argue that it was ethical as medical research standards were met, and no undue harm to the participants was caused.
• Boston’s Experiment: Harvard Business Review’s Lessons In Harvard Business Review’s Lessons from Boston’s Experiment with The One Fund, Mitchell discusses his experience with fund distribution to the victims of the Boston bombing.
• The Stanford Prison Experiment Review The video presents an experiment held in 1971. In general, a viewer can observe that people are subjected to behavior and opinion change when affected by others.
• The Way to Come To Terms With Yourself: Social Distancing Experiment In this work, the author describes the course and results of an experiment on social distance: refusal to use gadgets, any communication, and going out.
• Experiment: Bacteria vs Antibiotics The experiment aimed was to test the reaction of bacteria towards some antibiotics and determine the effectiveness of those antibiotics in treating some diseases.
• Ethics: Experiments on Animals Industrial and biomedical research is often painful and most of the test ends up killing the animals. Experiments such as these often incur the wrath of the animal rights movement.
• Impact of the Stanford Prison Experiment Have on Psychology This essay will begin with a brief description of Zimbardo’s Stanford Prison Experiment then it will move to explore two main issues that arose from the said experiment.
• Medical Pharmacology: The Langendorff Experiment The Langendorff experiment aimed at using an ex vivo isolated rat heart preparation to demonstrate the pharmacological effects of two unknown drugs.
• Studying Organisations: The Hawthorne Experiments The Hawthorn experiments marked a new direction in research of motivation and productivity. More than half a century has passed, and productivity remains a concern of management.
• Chemistry of Cooking. Saffron Rice Experiment This research project outlines an experiment that aims to determine the temperature at which Saffron rice turns yellow.
• Evaluation of the Stanford Prison Experiment’ Role The Stanford Prison Experiment is a study that was conducted on August 20, 1971 by a group of researchers headed by the psychology professor Philip Zimbardo.
• Heat Transfer Rates in a Hot Jet: Experiment The experiment is aimed at determining the heat transfer rates in a hot jet. The reasons for the hot jet to have different heat rates in different areas will be determined.
• Inattentive Blindness in Psychological Experiment The features of the human consciousness not to notice quite obvious changes are natural and innate. Such blindness can be caused by several factors.
• An Observable Experiment: Control Over the Variables An observable experiment is defined as the experiment in which the independent variables cannot possibly be controlled by the person or person setting the test.
• Tuskegee Syphilis Experiment: Ethical Controversy Tuskegee case set the background for the reconsideration of healthcare ethics, which means that the ethical value of the given case deserves reconsideration.
• Gender Stereotyping Experiment: The Level of Gender Stereotyping in Society The present study measures the effects of stereotyping women. It examines the first impression formed by subjects based on the information about a fictitious man or a woman.
• Psychological Studies and Experiments: Code of Conduct The following paper is based on past psychological studies i.e. Stanly Milgram’s ‘Obedience Experiment’, Philip Zimbardo’s ‘Stanford Prison Experiment, and Jane Elliott’s ‘Class Divided’.
• Using Animals in Medical Experiments This paper explores how the principles of the character-based ethical approach can be applied to the discussion of using animals in the medical research and experiments.
• The Stanford Experiment by Philip Zimbardo Philip Zimbardo’s Stanford Experiment shows that situational power and norms dictate the behavior of the individual more than the core beliefs that made up his personal identity.

Cite this post

• Chicago (N-B)
• Chicago (A-D)

StudyCorgi. (2021, December 21). 146 Experiment Research Topics. https://studycorgi.com/ideas/experiment-essay-topics/

"146 Experiment Research Topics." StudyCorgi , 21 Dec. 2021, studycorgi.com/ideas/experiment-essay-topics/.

StudyCorgi . (2021) '146 Experiment Research Topics'. 21 December.

1. StudyCorgi . "146 Experiment Research Topics." December 21, 2021. https://studycorgi.com/ideas/experiment-essay-topics/.

Bibliography

StudyCorgi . "146 Experiment Research Topics." December 21, 2021. https://studycorgi.com/ideas/experiment-essay-topics/.

StudyCorgi . 2021. "146 Experiment Research Topics." December 21, 2021. https://studycorgi.com/ideas/experiment-essay-topics/.

These essay examples and topics on Experiment were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

This essay topic collection was updated on June 22, 2024 .

Experimental Research Design — 6 mistakes you should never make!

Since school days’ students perform scientific experiments that provide results that define and prove the laws and theorems in science. These experiments are laid on a strong foundation of experimental research designs.

An experimental research design helps researchers execute their research objectives with more clarity and transparency.

In this article, we will not only discuss the key aspects of experimental research designs but also the issues to avoid and problems to resolve while designing your research study.

Table of Contents

What Is Experimental Research Design?

Experimental research design is a framework of protocols and procedures created to conduct experimental research with a scientific approach using two sets of variables. Herein, the first set of variables acts as a constant, used to measure the differences of the second set. The best example of experimental research methods is quantitative research .

Experimental research helps a researcher gather the necessary data for making better research decisions and determining the facts of a research study.

When Can a Researcher Conduct Experimental Research?

A researcher can conduct experimental research in the following situations —

• When time is an important factor in establishing a relationship between the cause and effect.
• When there is an invariable or never-changing behavior between the cause and effect.
• Finally, when the researcher wishes to understand the importance of the cause and effect.

Importance of Experimental Research Design

To publish significant results, choosing a quality research design forms the foundation to build the research study. Moreover, effective research design helps establish quality decision-making procedures, structures the research to lead to easier data analysis, and addresses the main research question. Therefore, it is essential to cater undivided attention and time to create an experimental research design before beginning the practical experiment.

By creating a research design, a researcher is also giving oneself time to organize the research, set up relevant boundaries for the study, and increase the reliability of the results. Through all these efforts, one could also avoid inconclusive results. If any part of the research design is flawed, it will reflect on the quality of the results derived.

Types of Experimental Research Designs

Based on the methods used to collect data in experimental studies, the experimental research designs are of three primary types:

1. Pre-experimental Research Design

A research study could conduct pre-experimental research design when a group or many groups are under observation after implementing factors of cause and effect of the research. The pre-experimental design will help researchers understand whether further investigation is necessary for the groups under observation.

Pre-experimental research is of three types —

• One-shot Case Study Research Design
• One-group Pretest-posttest Research Design
• Static-group Comparison

2. True Experimental Research Design

A true experimental research design relies on statistical analysis to prove or disprove a researcher’s hypothesis. It is one of the most accurate forms of research because it provides specific scientific evidence. Furthermore, out of all the types of experimental designs, only a true experimental design can establish a cause-effect relationship within a group. However, in a true experiment, a researcher must satisfy these three factors —

• There is a control group that is not subjected to changes and an experimental group that will experience the changed variables
• A variable that can be manipulated by the researcher
• Random distribution of the variables

This type of experimental research is commonly observed in the physical sciences.

3. Quasi-experimental Research Design

The word “Quasi” means similarity. A quasi-experimental design is similar to a true experimental design. However, the difference between the two is the assignment of the control group. In this research design, an independent variable is manipulated, but the participants of a group are not randomly assigned. This type of research design is used in field settings where random assignment is either irrelevant or not required.

The classification of the research subjects, conditions, or groups determines the type of research design to be used.

Advantages of Experimental Research

Experimental research allows you to test your idea in a controlled environment before taking the research to clinical trials. Moreover, it provides the best method to test your theory because of the following advantages:

• Researchers have firm control over variables to obtain results.
• The subject does not impact the effectiveness of experimental research. Anyone can implement it for research purposes.
• The results are specific.
• Post results analysis, research findings from the same dataset can be repurposed for similar research ideas.
• Researchers can identify the cause and effect of the hypothesis and further analyze this relationship to determine in-depth ideas.
• Experimental research makes an ideal starting point. The collected data could be used as a foundation to build new research ideas for further studies.

6 Mistakes to Avoid While Designing Your Research

There is no order to this list, and any one of these issues can seriously compromise the quality of your research. You could refer to the list as a checklist of what to avoid while designing your research.

1. Invalid Theoretical Framework

Usually, researchers miss out on checking if their hypothesis is logical to be tested. If your research design does not have basic assumptions or postulates, then it is fundamentally flawed and you need to rework on your research framework.

2. Inadequate Literature Study

Without a comprehensive research literature review , it is difficult to identify and fill the knowledge and information gaps. Furthermore, you need to clearly state how your research will contribute to the research field, either by adding value to the pertinent literature or challenging previous findings and assumptions.

3. Insufficient or Incorrect Statistical Analysis

Statistical results are one of the most trusted scientific evidence. The ultimate goal of a research experiment is to gain valid and sustainable evidence. Therefore, incorrect statistical analysis could affect the quality of any quantitative research.

4. Undefined Research Problem

This is one of the most basic aspects of research design. The research problem statement must be clear and to do that, you must set the framework for the development of research questions that address the core problems.

5. Research Limitations

Every study has some type of limitations . You should anticipate and incorporate those limitations into your conclusion, as well as the basic research design. Include a statement in your manuscript about any perceived limitations, and how you considered them while designing your experiment and drawing the conclusion.

6. Ethical Implications

The most important yet less talked about topic is the ethical issue. Your research design must include ways to minimize any risk for your participants and also address the research problem or question at hand. If you cannot manage the ethical norms along with your research study, your research objectives and validity could be questioned.

Experimental Research Design Example

In an experimental design, a researcher gathers plant samples and then randomly assigns half the samples to photosynthesize in sunlight and the other half to be kept in a dark box without sunlight, while controlling all the other variables (nutrients, water, soil, etc.)

By comparing their outcomes in biochemical tests, the researcher can confirm that the changes in the plants were due to the sunlight and not the other variables.

Experimental research is often the final form of a study conducted in the research process which is considered to provide conclusive and specific results. But it is not meant for every research. It involves a lot of resources, time, and money and is not easy to conduct, unless a foundation of research is built. Yet it is widely used in research institutes and commercial industries, for its most conclusive results in the scientific approach.

Have you worked on research designs? How was your experience creating an experimental design? What difficulties did you face? Do write to us or comment below and share your insights on experimental research designs!

Frequently Asked Questions

Randomization is important in an experimental research because it ensures unbiased results of the experiment. It also measures the cause-effect relationship on a particular group of interest.

Experimental research design lay the foundation of a research and structures the research to establish quality decision making process.

There are 3 types of experimental research designs. These are pre-experimental research design, true experimental research design, and quasi experimental research design.

The difference between an experimental and a quasi-experimental design are: 1. The assignment of the control group in quasi experimental research is non-random, unlike true experimental design, which is randomly assigned. 2. Experimental research group always has a control group; on the other hand, it may not be always present in quasi experimental research.

Experimental research establishes a cause-effect relationship by testing a theory or hypothesis using experimental groups or control variables. In contrast, descriptive research describes a study or a topic by defining the variables under it and answering the questions related to the same.

good and valuable

Very very good

Good presentation.

Rate this article Cancel Reply

Your email address will not be published.

Enago Academy's Most Popular Articles

Ensuring Academic Integrity and Transparency in Academic Research: A comprehensive checklist for researchers

Academic integrity is the foundation upon which the credibility and value of scientific findings are…

• Publishing Research
• Reporting Research

How to Optimize Your Research Process: A step-by-step guide

For researchers across disciplines, the path to uncovering novel findings and insights is often filled…

• Industry News
• Trending Now

Breaking Barriers: Sony and Nature unveil “Women in Technology Award”

Sony Group Corporation and the prestigious scientific journal Nature have collaborated to launch the inaugural…

Achieving Research Excellence: Checklist for good research practices

Academia is built on the foundation of trustworthy and high-quality research, supported by the pillars…

• Promoting Research

Plain Language Summary — Communicating your research to bridge the academic-lay gap

Science can be complex, but does that mean it should not be accessible to the…

Choosing the Right Analytical Approach: Thematic analysis vs. content analysis for…

Comparing Cross Sectional and Longitudinal Studies: 5 steps for choosing the right…

Research Recommendations – Guiding policy-makers for evidence-based decision making

Sign-up to read more

Subscribe for free to get unrestricted access to all our resources on research writing and academic publishing including:

• 2000+ blog articles
• 50+ Webinars
• 10+ Expert podcasts
• 50+ Infographics
• 10+ Checklists
• Research Guides

We hate spam too. We promise to protect your privacy and never spam you.

I am looking for Editing/ Proofreading services for my manuscript Tentative date of next journal submission:

What would be most effective in reducing research misconduct?

Chapter 10 Experimental Research

Experimental research, often considered to be the “gold standard” in research designs, is one of the most rigorous of all research designs. In this design, one or more independent variables are manipulated by the researcher (as treatments), subjects are randomly assigned to different treatment levels (random assignment), and the results of the treatments on outcomes (dependent variables) are observed. The unique strength of experimental research is its internal validity (causality) due to its ability to link cause and effect through treatment manipulation, while controlling for the spurious effect of extraneous variable.

Experimental research is best suited for explanatory research (rather than for descriptive or exploratory research), where the goal of the study is to examine cause-effect relationships. It also works well for research that involves a relatively limited and well-defined set of independent variables that can either be manipulated or controlled. Experimental research can be conducted in laboratory or field settings. Laboratory experiments , conducted in laboratory (artificial) settings, tend to be high in internal validity, but this comes at the cost of low external validity (generalizability), because the artificial (laboratory) setting in which the study is conducted may not reflect the real world. Field experiments , conducted in field settings such as in a real organization, and high in both internal and external validity. But such experiments are relatively rare, because of the difficulties associated with manipulating treatments and controlling for extraneous effects in a field setting.

Experimental research can be grouped into two broad categories: true experimental designs and quasi-experimental designs. Both designs require treatment manipulation, but while true experiments also require random assignment, quasi-experiments do not. Sometimes, we also refer to non-experimental research, which is not really a research design, but an all-inclusive term that includes all types of research that do not employ treatment manipulation or random assignment, such as survey research, observational research, and correlational studies.

Basic Concepts

Treatment and control groups. In experimental research, some subjects are administered one or more experimental stimulus called a treatment (the treatment group ) while other subjects are not given such a stimulus (the control group ). The treatment may be considered successful if subjects in the treatment group rate more favorably on outcome variables than control group subjects. Multiple levels of experimental stimulus may be administered, in which case, there may be more than one treatment group. For example, in order to test the effects of a new drug intended to treat a certain medical condition like dementia, if a sample of dementia patients is randomly divided into three groups, with the first group receiving a high dosage of the drug, the second group receiving a low dosage, and the third group receives a placebo such as a sugar pill (control group), then the first two groups are experimental groups and the third group is a control group. After administering the drug for a period of time, if the condition of the experimental group subjects improved significantly more than the control group subjects, we can say that the drug is effective. We can also compare the conditions of the high and low dosage experimental groups to determine if the high dose is more effective than the low dose.

Treatment manipulation. Treatments are the unique feature of experimental research that sets this design apart from all other research methods. Treatment manipulation helps control for the “cause” in cause-effect relationships. Naturally, the validity of experimental research depends on how well the treatment was manipulated. Treatment manipulation must be checked using pretests and pilot tests prior to the experimental study. Any measurements conducted before the treatment is administered are called pretest measures , while those conducted after the treatment are posttest measures .

Random selection and assignment. Random selection is the process of randomly drawing a sample from a population or a sampling frame. This approach is typically employed in survey research, and assures that each unit in the population has a positive chance of being selected into the sample. Random assignment is however a process of randomly assigning subjects to experimental or control groups. This is a standard practice in true experimental research to ensure that treatment groups are similar (equivalent) to each other and to the control group, prior to treatment administration. Random selection is related to sampling, and is therefore, more closely related to the external validity (generalizability) of findings. However, random assignment is related to design, and is therefore most related to internal validity. It is possible to have both random selection and random assignment in well-designed experimental research, but quasi-experimental research involves neither random selection nor random assignment.

Threats to internal validity. Although experimental designs are considered more rigorous than other research methods in terms of the internal validity of their inferences (by virtue of their ability to control causes through treatment manipulation), they are not immune to internal validity threats. Some of these threats to internal validity are described below, within the context of a study of the impact of a special remedial math tutoring program for improving the math abilities of high school students.

• History threat is the possibility that the observed effects (dependent variables) are caused by extraneous or historical events rather than by the experimental treatment. For instance, students’ post-remedial math score improvement may have been caused by their preparation for a math exam at their school, rather than the remedial math program.
• Maturation threat refers to the possibility that observed effects are caused by natural maturation of subjects (e.g., a general improvement in their intellectual ability to understand complex concepts) rather than the experimental treatment.
• Testing threat is a threat in pre-post designs where subjects’ posttest responses are conditioned by their pretest responses. For instance, if students remember their answers from the pretest evaluation, they may tend to repeat them in the posttest exam. Not conducting a pretest can help avoid this threat.
• Instrumentation threat , which also occurs in pre-post designs, refers to the possibility that the difference between pretest and posttest scores is not due to the remedial math program, but due to changes in the administered test, such as the posttest having a higher or lower degree of difficulty than the pretest.
• Mortality threat refers to the possibility that subjects may be dropping out of the study at differential rates between the treatment and control groups due to a systematic reason, such that the dropouts were mostly students who scored low on the pretest. If the low-performing students drop out, the results of the posttest will be artificially inflated by the preponderance of high-performing students.
• Regression threat , also called a regression to the mean, refers to the statistical tendency of a group’s overall performance on a measure during a posttest to regress toward the mean of that measure rather than in the anticipated direction. For instance, if subjects scored high on a pretest, they will have a tendency to score lower on the posttest (closer to the mean) because their high scores (away from the mean) during the pretest was possibly a statistical aberration. This problem tends to be more prevalent in non-random samples and when the two measures are imperfectly correlated.

Two-Group Experimental Designs

The simplest true experimental designs are two group designs involving one treatment group and one control group, and are ideally suited for testing the effects of a single independent variable that can be manipulated as a treatment. The two basic two-group designs are the pretest-posttest control group design and the posttest-only control group design, while variations may include covariance designs. These designs are often depicted using a standardized design notation, where R represents random assignment of subjects to groups, X represents the treatment administered to the treatment group, and O represents pretest or posttest observations of the dependent variable (with different subscripts to distinguish between pretest and posttest observations of treatment and control groups).

Pretest-posttest control group design . In this design, subjects are randomly assigned to treatment and control groups, subjected to an initial (pretest) measurement of the dependent variables of interest, the treatment group is administered a treatment (representing the independent variable of interest), and the dependent variables measured again (posttest). The notation of this design is shown in Figure 10.1.

Figure 10.1. Pretest-posttest control group design

The effect E of the experimental treatment in the pretest posttest design is measured as the difference in the posttest and pretest scores between the treatment and control groups:

E = (O 2 – O 1 ) – (O 4 – O 3 )

Statistical analysis of this design involves a simple analysis of variance (ANOVA) between the treatment and control groups. The pretest posttest design handles several threats to internal validity, such as maturation, testing, and regression, since these threats can be expected to influence both treatment and control groups in a similar (random) manner. The selection threat is controlled via random assignment. However, additional threats to internal validity may exist. For instance, mortality can be a problem if there are differential dropout rates between the two groups, and the pretest measurement may bias the posttest measurement (especially if the pretest introduces unusual topics or content).

Posttest-only control group design . This design is a simpler version of the pretest-posttest design where pretest measurements are omitted. The design notation is shown in Figure 10.2.

Figure 10.2. Posttest only control group design.

The treatment effect is measured simply as the difference in the posttest scores between the two groups:

E = (O 1 – O 2 )

The appropriate statistical analysis of this design is also a two- group analysis of variance (ANOVA). The simplicity of this design makes it more attractive than the pretest-posttest design in terms of internal validity. This design controls for maturation, testing, regression, selection, and pretest-posttest interaction, though the mortality threat may continue to exist.

Covariance designs . Sometimes, measures of dependent variables may be influenced by extraneous variables called covariates . Covariates are those variables that are not of central interest to an experimental study, but should nevertheless be controlled in an experimental design in order to eliminate their potential effect on the dependent variable and therefore allow for a more accurate detection of the effects of the independent variables of interest. The experimental designs discussed earlier did not control for such covariates. A covariance design (also called a concomitant variable design) is a special type of pretest posttest control group design where the pretest measure is essentially a measurement of the covariates of interest rather than that of the dependent variables. The design notation is shown in Figure 10.3, where C represents the covariates:

Figure 10.3. Covariance design

Because the pretest measure is not a measurement of the dependent variable, but rather a covariate, the treatment effect is measured as the difference in the posttest scores between the treatment and control groups as:

Figure 10.4. 2 x 2 factorial design

Factorial designs can also be depicted using a design notation, such as that shown on the right panel of Figure 10.4. R represents random assignment of subjects to treatment groups, X represents the treatment groups themselves (the subscripts of X represents the level of each factor), and O represent observations of the dependent variable. Notice that the 2 x 2 factorial design will have four treatment groups, corresponding to the four combinations of the two levels of each factor. Correspondingly, the 2 x 3 design will have six treatment groups, and the 2 x 2 x 2 design will have eight treatment groups. As a rule of thumb, each cell in a factorial design should have a minimum sample size of 20 (this estimate is derived from Cohen’s power calculations based on medium effect sizes). So a 2 x 2 x 2 factorial design requires a minimum total sample size of 160 subjects, with at least 20 subjects in each cell. As you can see, the cost of data collection can increase substantially with more levels or factors in your factorial design. Sometimes, due to resource constraints, some cells in such factorial designs may not receive any treatment at all, which are called incomplete factorial designs . Such incomplete designs hurt our ability to draw inferences about the incomplete factors.

In a factorial design, a main effect is said to exist if the dependent variable shows a significant difference between multiple levels of one factor, at all levels of other factors. No change in the dependent variable across factor levels is the null case (baseline), from which main effects are evaluated. In the above example, you may see a main effect of instructional type, instructional time, or both on learning outcomes. An interaction effect exists when the effect of differences in one factor depends upon the level of a second factor. In our example, if the effect of instructional type on learning outcomes is greater for 3 hours/week of instructional time than for 1.5 hours/week, then we can say that there is an interaction effect between instructional type and instructional time on learning outcomes. Note that the presence of interaction effects dominate and make main effects irrelevant, and it is not meaningful to interpret main effects if interaction effects are significant.

Hybrid Experimental Designs

Hybrid designs are those that are formed by combining features of more established designs. Three such hybrid designs are randomized bocks design, Solomon four-group design, and switched replications design.

Randomized block design. This is a variation of the posttest-only or pretest-posttest control group design where the subject population can be grouped into relatively homogeneous subgroups (called blocks ) within which the experiment is replicated. For instance, if you want to replicate the same posttest-only design among university students and full -time working professionals (two homogeneous blocks), subjects in both blocks are randomly split between treatment group (receiving the same treatment) or control group (see Figure 10.5). The purpose of this design is to reduce the “noise” or variance in data that may be attributable to differences between the blocks so that the actual effect of interest can be detected more accurately.

Figure 10.5. Randomized blocks design.

Solomon four-group design . In this design, the sample is divided into two treatment groups and two control groups. One treatment group and one control group receive the pretest, and the other two groups do not. This design represents a combination of posttest-only and pretest-posttest control group design, and is intended to test for the potential biasing effect of pretest measurement on posttest measures that tends to occur in pretest-posttest designs but not in posttest only designs. The design notation is shown in Figure 10.6.

Figure 10.6. Solomon four-group design

Switched replication design . This is a two-group design implemented in two phases with three waves of measurement. The treatment group in the first phase serves as the control group in the second phase, and the control group in the first phase becomes the treatment group in the second phase, as illustrated in Figure 10.7. In other words, the original design is repeated or replicated temporally with treatment/control roles switched between the two groups. By the end of the study, all participants will have received the treatment either during the first or the second phase. This design is most feasible in organizational contexts where organizational programs (e.g., employee training) are implemented in a phased manner or are repeated at regular intervals.

Figure 10.7. Switched replication design.

Quasi-Experimental Designs

Quasi-experimental designs are almost identical to true experimental designs, but lacking one key ingredient: random assignment. For instance, one entire class section or one organization is used as the treatment group, while another section of the same class or a different organization in the same industry is used as the control group. This lack of random assignment potentially results in groups that are non-equivalent, such as one group possessing greater mastery of a certain content than the other group, say by virtue of having a better teacher in a previous semester, which introduces the possibility of selection bias . Quasi-experimental designs are therefore inferior to true experimental designs in interval validity due to the presence of a variety of selection related threats such as selection-maturation threat (the treatment and control groups maturing at different rates), selection-history threat (the treatment and control groups being differentially impact by extraneous or historical events), selection-regression threat (the treatment and control groups regressing toward the mean between pretest and posttest at different rates), selection-instrumentation threat (the treatment and control groups responding differently to the measurement), selection-testing (the treatment and control groups responding differently to the pretest), and selection-mortality (the treatment and control groups demonstrating differential dropout rates). Given these selection threats, it is generally preferable to avoid quasi-experimental designs to the greatest extent possible.

Many true experimental designs can be converted to quasi-experimental designs by omitting random assignment. For instance, the quasi-equivalent version of pretest-posttest control group design is called nonequivalent groups design (NEGD), as shown in Figure 10.8, with random assignment R replaced by non-equivalent (non-random) assignment N . Likewise, the quasi -experimental version of switched replication design is called non-equivalent switched replication design (see Figure 10.9).

Figure 10.8. NEGD design.

Figure 10.9. Non-equivalent switched replication design.

In addition, there are quite a few unique non -equivalent designs without corresponding true experimental design cousins. Some of the more useful of these designs are discussed next.

Regression-discontinuity (RD) design . This is a non-equivalent pretest-posttest design where subjects are assigned to treatment or control group based on a cutoff score on a preprogram measure. For instance, patients who are severely ill may be assigned to a treatment group to test the efficacy of a new drug or treatment protocol and those who are mildly ill are assigned to the control group. In another example, students who are lagging behind on standardized test scores may be selected for a remedial curriculum program intended to improve their performance, while those who score high on such tests are not selected from the remedial program. The design notation can be represented as follows, where C represents the cutoff score:

Figure 10.10. RD design.

Because of the use of a cutoff score, it is possible that the observed results may be a function of the cutoff score rather than the treatment, which introduces a new threat to internal validity. However, using the cutoff score also ensures that limited or costly resources are distributed to people who need them the most rather than randomly across a population, while simultaneously allowing a quasi-experimental treatment. The control group scores in the RD design does not serve as a benchmark for comparing treatment group scores, given the systematic non-equivalence between the two groups. Rather, if there is no discontinuity between pretest and posttest scores in the control group, but such a discontinuity persists in the treatment group, then this discontinuity is viewed as evidence of the treatment effect.

Proxy pretest design . This design, shown in Figure 10.11, looks very similar to the standard NEGD (pretest-posttest) design, with one critical difference: the pretest score is collected after the treatment is administered. A typical application of this design is when a researcher is brought in to test the efficacy of a program (e.g., an educational program) after the program has already started and pretest data is not available. Under such circumstances, the best option for the researcher is often to use a different prerecorded measure, such as students’ grade point average before the start of the program, as a proxy for pretest data. A variation of the proxy pretest design is to use subjects’ posttest recollection of pretest data, which may be subject to recall bias, but nevertheless may provide a measure of perceived gain or change in the dependent variable.

Figure 10.11. Proxy pretest design.

Separate pretest-posttest samples design . This design is useful if it is not possible to collect pretest and posttest data from the same subjects for some reason. As shown in Figure 10.12, there are four groups in this design, but two groups come from a single non-equivalent group, while the other two groups come from a different non-equivalent group. For instance, you want to test customer satisfaction with a new online service that is implemented in one city but not in another. In this case, customers in the first city serve as the treatment group and those in the second city constitute the control group. If it is not possible to obtain pretest and posttest measures from the same customers, you can measure customer satisfaction at one point in time, implement the new service program, and measure customer satisfaction (with a different set of customers) after the program is implemented. Customer satisfaction is also measured in the control group at the same times as in the treatment group, but without the new program implementation. The design is not particularly strong, because you cannot examine the changes in any specific customer’s satisfaction score before and after the implementation, but you can only examine average customer satisfaction scores. Despite the lower internal validity, this design may still be a useful way of collecting quasi-experimental data when pretest and posttest data are not available from the same subjects.

Figure 10.12. Separate pretest-posttest samples design.

Nonequivalent dependent variable (NEDV) design . This is a single-group pre-post quasi-experimental design with two outcome measures, where one measure is theoretically expected to be influenced by the treatment and the other measure is not. For instance, if you are designing a new calculus curriculum for high school students, this curriculum is likely to influence students’ posttest calculus scores but not algebra scores. However, the posttest algebra scores may still vary due to extraneous factors such as history or maturation. Hence, the pre-post algebra scores can be used as a control measure, while that of pre-post calculus can be treated as the treatment measure. The design notation, shown in Figure 10.13, indicates the single group by a single N , followed by pretest O 1 and posttest O 2 for calculus and algebra for the same group of students. This design is weak in internal validity, but its advantage lies in not having to use a separate control group.

An interesting variation of the NEDV design is a pattern matching NEDV design , which employs multiple outcome variables and a theory that explains how much each variable will be affected by the treatment. The researcher can then examine if the theoretical prediction is matched in actual observations. This pattern-matching technique, based on the degree of correspondence between theoretical and observed patterns is a powerful way of alleviating internal validity concerns in the original NEDV design.

Figure 10.13. NEDV design.

Perils of Experimental Research

Experimental research is one of the most difficult of research designs, and should not be taken lightly. This type of research is often best with a multitude of methodological problems. First, though experimental research requires theories for framing hypotheses for testing, much of current experimental research is atheoretical. Without theories, the hypotheses being tested tend to be ad hoc, possibly illogical, and meaningless. Second, many of the measurement instruments used in experimental research are not tested for reliability and validity, and are incomparable across studies. Consequently, results generated using such instruments are also incomparable. Third, many experimental research use inappropriate research designs, such as irrelevant dependent variables, no interaction effects, no experimental controls, and non-equivalent stimulus across treatment groups. Findings from such studies tend to lack internal validity and are highly suspect. Fourth, the treatments (tasks) used in experimental research may be diverse, incomparable, and inconsistent across studies and sometimes inappropriate for the subject population. For instance, undergraduate student subjects are often asked to pretend that they are marketing managers and asked to perform a complex budget allocation task in which they have no experience or expertise. The use of such inappropriate tasks, introduces new threats to internal validity (i.e., subject’s performance may be an artifact of the content or difficulty of the task setting), generates findings that are non-interpretable and meaningless, and makes integration of findings across studies impossible.

The design of proper experimental treatments is a very important task in experimental design, because the treatment is the raison d’etre of the experimental method, and must never be rushed or neglected. To design an adequate and appropriate task, researchers should use prevalidated tasks if available, conduct treatment manipulation checks to check for the adequacy of such tasks (by debriefing subjects after performing the assigned task), conduct pilot tests (repeatedly, if necessary), and if doubt, using tasks that are simpler and familiar for the respondent sample than tasks that are complex or unfamiliar.

In summary, this chapter introduced key concepts in the experimental design research method and introduced a variety of true experimental and quasi-experimental designs. Although these designs vary widely in internal validity, designs with less internal validity should not be overlooked and may sometimes be useful under specific circumstances and empirical contingencies.

• Social Science Research: Principles, Methods, and Practices. Authored by : Anol Bhattacherjee. Provided by : University of South Florida. Located at : http://scholarcommons.usf.edu/oa_textbooks/3/ . License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike

• Foundations
• Write Paper

Search form

• Experiments
• Anthropology
• Self-Esteem
• Social Anxiety

Experimental Research

Experimental research is commonly used in sciences such as sociology and psychology, physics, chemistry, biology and medicine etc.

This article is a part of the guide:

• Pretest-Posttest
• Third Variable
• Research Bias
• Independent Variable
• Between Subjects

Browse Full Outline

• 1 Experimental Research
• 2.1 Independent Variable
• 2.2 Dependent Variable
• 2.3 Controlled Variables
• 2.4 Third Variable
• 3.1 Control Group
• 3.2 Research Bias
• 3.3.1 Placebo Effect
• 3.3.2 Double Blind Method
• 4.1 Randomized Controlled Trials
• 4.2 Pretest-Posttest
• 4.3 Solomon Four Group
• 4.4 Between Subjects
• 4.5 Within Subject
• 4.6 Repeated Measures
• 4.7 Counterbalanced Measures
• 4.8 Matched Subjects

It is a collection of research designs which use manipulation and controlled testing to understand causal processes. Generally, one or more variables are manipulated to determine their effect on a dependent variable.

The experimental method is a systematic and scientific approach to research in which the researcher manipulates one or more variables, and controls and measures any change in other variables.

Experimental Research is often used where:

• There is time priority in a causal relationship ( cause precedes effect )
• There is consistency in a causal relationship (a cause will always lead to the same effect)
• The magnitude of the correlation is great.

(Reference: en.wikipedia.org)

The word experimental research has a range of definitions. In the strict sense, experimental research is what we call a true experiment .

This is an experiment where the researcher manipulates one variable, and control/randomizes the rest of the variables. It has a control group , the subjects have been randomly assigned between the groups, and the researcher only tests one effect at a time. It is also important to know what variable(s) you want to test and measure.

A very wide definition of experimental research, or a quasi experiment , is research where the scientist actively influences something to observe the consequences. Most experiments tend to fall in between the strict and the wide definition.

A rule of thumb is that physical sciences, such as physics, chemistry and geology tend to define experiments more narrowly than social sciences, such as sociology and psychology, which conduct experiments closer to the wider definition.

Aims of Experimental Research

Experiments are conducted to be able to predict phenomenons. Typically, an experiment is constructed to be able to explain some kind of causation . Experimental research is important to society - it helps us to improve our everyday lives.

Identifying the Research Problem

After deciding the topic of interest, the researcher tries to define the research problem . This helps the researcher to focus on a more narrow research area to be able to study it appropriately.  Defining the research problem helps you to formulate a  research hypothesis , which is tested against the  null hypothesis .

The research problem is often operationalizationed , to define how to measure the research problem. The results will depend on the exact measurements that the researcher chooses and may be operationalized differently in another study to test the main conclusions of the study.

An ad hoc analysis is a hypothesis invented after testing is done, to try to explain why the contrary evidence. A poor ad hoc analysis may be seen as the researcher's inability to accept that his/her hypothesis is wrong, while a great ad hoc analysis may lead to more testing and possibly a significant discovery.

Constructing the Experiment

There are various aspects to remember when constructing an experiment. Planning ahead ensures that the experiment is carried out properly and that the results reflect the real world, in the best possible way.

Sampling Groups to Study

Sampling groups correctly is especially important when we have more than one condition in the experiment. One sample group often serves as a control group , whilst others are tested under the experimental conditions.

Deciding the sample groups can be done in using many different sampling techniques. Population sampling may chosen by a number of methods, such as randomization , "quasi-randomization" and pairing.

Reducing sampling errors is vital for getting valid results from experiments. Researchers often adjust the sample size to minimize chances of random errors .

Here are some common sampling techniques :

• probability sampling
• non-probability sampling
• simple random sampling
• convenience sampling
• stratified sampling
• systematic sampling
• cluster sampling
• sequential sampling
• disproportional sampling
• judgmental sampling
• snowball sampling
• quota sampling

Creating the Design

The research design is chosen based on a range of factors. Important factors when choosing the design are feasibility, time, cost, ethics, measurement problems and what you would like to test. The design of the experiment is critical for the validity of the results.

Typical Designs and Features in Experimental Design

• Pretest-Posttest Design Check whether the groups are different before the manipulation starts and the effect of the manipulation. Pretests sometimes influence the effect.
• Control Group Control groups are designed to measure research bias and measurement effects, such as the Hawthorne Effect or the Placebo Effect . A control group is a group not receiving the same manipulation as the experimental group. Experiments frequently have 2 conditions, but rarely more than 3 conditions at the same time.
• Randomized Controlled Trials Randomized Sampling, comparison between an Experimental Group and a Control Group and strict control/randomization of all other variables
• Solomon Four-Group Design With two control groups and two experimental groups. Half the groups have a pretest and half do not have a pretest. This to test both the effect itself and the effect of the pretest.
• Between Subjects Design Grouping Participants to Different Conditions
• Within Subject Design Participants Take Part in the Different Conditions - See also: Repeated Measures Design
• Counterbalanced Measures Design Testing the effect of the order of treatments when no control group is available/ethical
• Matched Subjects Design Matching Participants to Create Similar Experimental- and Control-Groups
• Double-Blind Experiment Neither the researcher, nor the participants, know which is the control group. The results can be affected if the researcher or participants know this.
• Bayesian Probability Using bayesian probability to "interact" with participants is a more "advanced" experimental design. It can be used for settings were there are many variables which are hard to isolate. The researcher starts with a set of initial beliefs, and tries to adjust them to how participants have responded

Pilot Study

It may be wise to first conduct a pilot-study or two before you do the real experiment. This ensures that the experiment measures what it should, and that everything is set up right.

Minor errors, which could potentially destroy the experiment, are often found during this process. With a pilot study, you can get information about errors and problems, and improve the design, before putting a lot of effort into the real experiment.

If the experiments involve humans, a common strategy is to first have a pilot study with someone involved in the research, but not too closely, and then arrange a pilot with a person who resembles the subject(s) . Those two different pilots are likely to give the researcher good information about any problems in the experiment.

Conducting the Experiment

An experiment is typically carried out by manipulating a variable, called the independent variable , affecting the experimental group. The effect that the researcher is interested in, the dependent variable(s) , is measured.

Identifying and controlling non-experimental factors which the researcher does not want to influence the effects, is crucial to drawing a valid conclusion. This is often done by controlling variables , if possible, or randomizing variables to minimize effects that can be traced back to third variables . Researchers only want to measure the effect of the independent variable(s) when conducting an experiment , allowing them to conclude that this was the reason for the effect.

Analysis and Conclusions

In quantitative research , the amount of data measured can be enormous. Data not prepared to be analyzed is called "raw data". The raw data is often summarized as something called "output data", which typically consists of one line per subject (or item). A cell of the output data is, for example, an average of an effect in many trials for a subject. The output data is used for statistical analysis, e.g. significance tests, to see if there really is an effect.

The aim of an analysis is to draw a conclusion , together with other observations. The researcher might generalize the results to a wider phenomenon, if there is no indication of confounding variables "polluting" the results.

If the researcher suspects that the effect stems from a different variable than the independent variable, further investigation is needed to gauge the validity of the results. An experiment is often conducted because the scientist wants to know if the independent variable is having any effect upon the dependent variable. Variables correlating are not proof that there is causation .

Experiments are more often of quantitative nature than qualitative nature, although it happens.

Examples of Experiments

This website contains many examples of experiments. Some are not true experiments , but involve some kind of manipulation to investigate a phenomenon. Others fulfill most or all criteria of true experiments.

Here are some examples of scientific experiments:

Social Psychology

• Stanley Milgram Experiment - Will people obey orders, even if clearly dangerous?
• Asch Experiment - Will people conform to group behavior?
• Stanford Prison Experiment - How do people react to roles? Will you behave differently?
• Good Samaritan Experiment - Would You Help a Stranger? - Explaining Helping Behavior
• Law Of Segregation - The Mendel Pea Plant Experiment
• Transforming Principle - Griffith's Experiment about Genetics
• Ben Franklin Kite Experiment - Struck by Lightning
• J J Thomson Cathode Ray Experiment
• Psychology 101
• Flags and Countries
• Capitals and Countries

Oskar Blakstad (Jul 10, 2008). Experimental Research. Retrieved Jun 24, 2024 from Explorable.com: https://explorable.com/experimental-research

You Are Allowed To Copy The Text

The text in this article is licensed under the Creative Commons-License Attribution 4.0 International (CC BY 4.0) .

This means you're free to copy, share and adapt any parts (or all) of the text in the article, as long as you give appropriate credit and provide a link/reference to this page.

That is it. You don't need our permission to copy the article; just include a link/reference back to this page. You can use it freely (with some kind of link), and we're also okay with people reprinting in publications like books, blogs, newsletters, course-material, papers, wikipedia and presentations (with clear attribution).

Want to stay up to date? Follow us!

Get all these articles in 1 guide.

Want the full version to study at home, take to school or just scribble on?

Whether you are an academic novice, or you simply want to brush up your skills, this book will take your academic writing skills to the next level.

Download electronic versions: - Epub for mobiles and tablets - For Kindle here - For iBooks here - PDF version here

Save this course for later

Don't have time for it all now? No problem, save it as a course and come back to it later.

Footer bottom

• Privacy Policy

• Subscribe to our RSS Feed
• Like us on Facebook
• Follow us on Twitter

Experimental Research: Meaning And Examples Of Experimental Research

Ever wondered why scientists across the world are being lauded for discovering the Covid-19 vaccine so early? It’s because every…

Ever wondered why scientists across the world are being lauded for discovering the Covid-19 vaccine so early? It’s because every government knows that vaccines are a result of experimental research design and it takes years of collected data to make one. It takes a lot of time to compare formulas and combinations with an array of possibilities across different age groups, genders and physical conditions. With their efficiency and meticulousness, scientists redefined the meaning of experimental research when they discovered a vaccine in less than a year.

What Is Experimental Research?

Characteristics of experimental research design, types of experimental research design, advantages and disadvantages of experimental research, examples of experimental research.

Experimental research is a scientific method of conducting research using two variables: independent and dependent. Independent variables can be manipulated to apply to dependent variables and the effect is measured. This measurement usually happens over a significant period of time to establish conditions and conclusions about the relationship between these two variables.

Experimental research is widely implemented in education, psychology, social sciences and physical sciences. Experimental research is based on observation, calculation, comparison and logic. Researchers collect quantitative data and perform statistical analyses of two sets of variables. This method collects necessary data to focus on facts and support sound decisions. It’s a helpful approach when time is a factor in establishing cause-and-effect relationships or when an invariable behavior is seen between the two.  

Now that we know the meaning of experimental research, let’s look at its characteristics, types and advantages.

The hypothesis is at the core of an experimental research design. Researchers propose a tentative answer after defining the problem and then test the hypothesis to either confirm or disregard it. Here are a few characteristics of experimental research:

• Dependent variables are manipulated or treated while independent variables are exerted on dependent variables as an experimental treatment. Extraneous variables are variables generated from other factors that can affect the experiment and contribute to change. Researchers have to exercise control to reduce the influence of these variables by randomization, making homogeneous groups and applying statistical analysis techniques.
• Researchers deliberately operate independent variables on the subject of the experiment. This is known as manipulation.
• Once a variable is manipulated, researchers observe the effect an independent variable has on a dependent variable. This is key for interpreting results.
• A researcher may want multiple comparisons between different groups with equivalent subjects. They may replicate the process by conducting sub-experiments within the framework of the experimental design.

Experimental research is equally effective in non-laboratory settings as it is in labs. It helps in predicting events in an experimental setting. It generalizes variable relationships so that they can be implemented outside the experiment and applied to a wider interest group.

The way a researcher assigns subjects to different groups determines the types of experimental research design .

Pre-experimental Research Design

In a pre-experimental research design, researchers observe a group or various groups to see the effect an independent variable has on the dependent variable to cause change. There is no control group as it is a simple form of experimental research . It’s further divided into three categories:

• A one-shot case study research design is a study where one dependent variable is considered. It’s a posttest study as it’s carried out after treating what presumably caused the change.
• One-group pretest-posttest design is a study that combines both pretest and posttest studies by testing a single group before and after administering the treatment.
• Static-group comparison involves studying two groups by subjecting one to treatment while the other remains static. After post-testing all groups the differences are observed.

This design is practical but lacks in certain areas of true experimental criteria.

True Experimental Research Design

This design depends on statistical analysis to approve or disregard a hypothesis. It’s an accurate design that can be conducted with or without a pretest on a minimum of two dependent variables assigned randomly. It is further classified into three types:

• The posttest-only control group design involves randomly selecting and assigning subjects to two groups: experimental and control. Only the experimental group is treated, while both groups are observed and post-tested to draw a conclusion from the difference between the groups.
• In a pretest-posttest control group design, two groups are randomly assigned subjects. Both groups are presented, the experimental group is treated and both groups are post-tested to measure how much change happened in each group.
• Solomon four-group design is a combination of the previous two methods. Subjects are randomly selected and assigned to four groups. Two groups are tested using each of the previous methods.

True experimental research design should have a variable to manipulate, a control group and random distribution.

With experimental research, we can test ideas in a controlled environment before marketing. It acts as the best method to test a theory as it can help in making predictions about a subject and drawing conclusions. Let’s look at some of the advantages that make experimental research useful:

• It allows researchers to have a stronghold over variables and collect desired results.
• Results are usually specific.
• The effectiveness of the research isn’t affected by the subject.
• Findings from the results usually apply to similar situations and ideas.
• Cause and effect of a hypothesis can be identified, which can be further analyzed for in-depth ideas.
• It’s the ideal starting point to collect data and lay a foundation for conducting further research and building more ideas.
• Medical researchers can develop medicines and vaccines to treat diseases by collecting samples from patients and testing them under multiple conditions.
• It can be used to improve the standard of academics across institutions by testing student knowledge and teaching methods before analyzing the result to implement programs.
• Social scientists often use experimental research design to study and test behavior in humans and animals.
• Software development and testing heavily depend on experimental research to test programs by letting subjects use a beta version and analyzing their feedback.

Even though it’s a scientific method, it has a few drawbacks. Here are a few disadvantages of this research method:

• Human error is a concern because the method depends on controlling variables. Improper implementation nullifies the validity of the research and conclusion.
• Eliminating extraneous variables (real-life scenarios) produces inaccurate conclusions.
• The process is time-consuming and expensive
• In medical research, it can have ethical implications by affecting patients’ well-being.
• Results are not descriptive and subjects can contribute to response bias.

Experimental research design is a sophisticated method that investigates relationships or occurrences among people or phenomena under a controlled environment and identifies the conditions responsible for such relationships or occurrences

Experimental research can be used in any industry to anticipate responses, changes, causes and effects. Here are some examples of experimental research :

• This research method can be used to evaluate employees’ skills. Organizations ask candidates to take tests before filling a post. It is used to screen qualified candidates from a pool of applicants. This allows organizations to identify skills at the time of employment. After training employees on the job, organizations further evaluate them to test impact and improvement. This is a pretest-posttest control group research example where employees are ‘subjects’ and the training is ‘treatment’.
• Educational institutions follow the pre-experimental research design to administer exams and evaluate students at the end of a semester. Students are the dependent variables and lectures are independent. Since exams are conducted at the end and not the beginning of a semester, it’s easy to conclude that it’s a one-shot case study research.
• To evaluate the teaching methods of two teachers, they can be assigned two student groups. After teaching their respective groups on the same topic, a posttest can determine which group scored better and who is better at teaching. This method can have its drawbacks as certain human factors, such as attitudes of students and effectiveness to grasp a subject, may negatively influence results. 

Experimental research is considered a standard method that uses observations, simulations and surveys to collect data. One of its unique features is the ability to control extraneous variables and their effects. It’s a suitable method for those looking to examine the relationship between cause and effect in a field setting or in a laboratory. Although experimental research design is a scientific approach, research is not entirely a scientific process. As much as managers need to know what is experimental research , they have to apply the correct research method, depending on the aim of the study.

Harappa’s Thinking Critically program makes you more decisive and lets you think like a leader. It’s a growth-driven course for managers who want to devise and implement sound strategies, freshers looking to build a career and entrepreneurs who want to grow their business. Identify and avoid arguments, communicate decisions and rely on effective decision-making processes in uncertain times. This course teaches critical and clear thinking. It’s packed with problem-solving tools, highly impactful concepts and relatable content. Build an analytical mindset, develop your skills and reap the benefits of critical thinking with Harappa!

Explore Harappa Diaries to learn more about topics such as Main Objective Of Research , Definition Of Qualitative Research , Examples Of Experiential Learning and Collaborative Learning Strategies to upgrade your knowledge and skills.

Help | Advanced Search

Computer Science > Machine Learning

Title: data-centric ai in the age of large language models.

Abstract: This position paper proposes a data-centric viewpoint of AI research, focusing on large language models (LLMs). We start by making the key observation that data is instrumental in the developmental (e.g., pretraining and fine-tuning) and inferential stages (e.g., in-context learning) of LLMs, and yet it receives disproportionally low attention from the research community. We identify four specific scenarios centered around data, covering data-centric benchmarks and data curation, data attribution, knowledge transfer, and inference contextualization. In each scenario, we underscore the importance of data, highlight promising research directions, and articulate the potential impacts on the research community and, where applicable, the society as a whole. For instance, we advocate for a suite of data-centric benchmarks tailored to the scale and complexity of data for LLMs. These benchmarks can be used to develop new data curation methods and document research efforts and results, which can help promote openness and transparency in AI and LLM research.

Submission history

Access paper:.

• HTML (experimental)
• Other Formats

References & Citations

• Google Scholar
• Semantic Scholar

BibTeX formatted citation

Bibliographic and Citation Tools

Code, data and media associated with this article, recommenders and search tools.

• Institution

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .