View an example
When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.
However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.
This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.
Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!
After your document has been edited, you will receive an email with a link to download the document.
The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.
It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:
You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.
Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.
Always leave yourself enough time to check through the document and accept the changes before your submission deadline.
Scribbr is specialised in editing study related documents. We check:
Calculate the costs
The fastest turnaround time is 24 hours.
You can upload your document at any time and choose between four deadlines:
At Scribbr, we promise to make every customer 100% happy with the service we offer. Our philosophy: Your complaint is always justified – no denial, no doubts.
Our customer support team is here to find the solution that helps you the most, whether that’s a free new edit or a refund for the service.
Yes, in the order process you can indicate your preference for American, British, or Australian English .
If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.
If you're seeing this message, it means we're having trouble loading external resources on our website.
If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked.
To log in and use all the features of Khan Academy, please enable JavaScript in your browser.
Course: praxis core writing > unit 1, argumentative essay | quick guide.
Explore the main differences between reports and essays and how to write for your assignments
You'll complete assignments with different requirements throughout your degree, so it's important to understand what you need to do for each of them. Here we explore the key differences between reports and essays.
This page describes general features of academic reports and essays. Depending on your subject you may use all of these features, a selection of them, or you may have additional requirements.
There is no single right way to write a report or essay, but they are different assignments. At a glance:
This table compares reports and essays and provides an outline of the standard structure for each. Your assignment will also depend on your discipline, the purpose of your work, and your audience – so you should check what you need to do in your course and module handbooks, instructions from your lecturer, and your subject conventions.
Reports | Essays |
---|---|
Reports have a table of contents. | Essays don't have a table of contents. |
Reports are divided into headed and numbered sections and sometimes sub-sections, using the IMRaD format(see below). | Essays are not divided into sections but you may have separate headed appendices. |
Reports often originate from outside academic subjects and are typically used in the world of work. | Essays originate in academic settings, including practice-based subjects. |
Reports often present data and findings that you have collected yourself, for example through a survey, experiment or case study. Some reports focus on applying theory to your field of work. | Essays usually focus on analysing or evaluating theories, past research by other people, and ideas. They may include applying theory to practice if you are in a practice-based field. |
A report usually contains tables, charts and diagrams. | Essays don't usually include tables, charts, or diagrams. |
Reports usually include descriptions of the methods used. | Essays don't usually refer to the methods you used to arrive at your conclusions. |
The discussion in a report often comments on how the report research could be improved and extended, and may evaluate the methods and processes used. | Essays don't usually reflect on the process of researching and writing the essay itself. |
Reports sometimes include recommendations. | Essays don't include recommendations. |
Table adapted from Cottrell, 2003, p. 209.
Most reports use an IMRaD structure: Introduction, Methods, Results and Discussion.
Below are some common sections that also appear in reports. Some sections include alternative headings.
Your contents shows the number of each report section, its title, page number and any sub-sections. Sub-section numbers and details start under the section title, not the margin or the number.
This brief summary of the report is usually the last thing you write.
Your introduction describes the purpose of the report, explains why it necessary or useful, and sets out its precise aims and objectives.
This describes current research and thinking about the problem or research question, and is often incorporated into the introduction.
This describes and justifies the methods or processes used to collect your data.
This section presents the results (or processed data) from the research and may consist of mainly tables, charts and or diagrams.
This section analyses the results and evaluates the research carried out.
The conclusion summarises the report and usually revisits the aims and objectives.
In this section the writer uses the results and conclusions from the report to make practical suggestions about a problem or issue. This may not be required.
You can include raw data or materials that your report refers to in the appendix, if you need to. The data is often presented as charts, diagrams and tables. Each item should be numbered : for example, write Table 1 and its title; Table 2 and its title, and so on as needed.
Introduction.
Your essay introduction contextualises and gives background information about the topic or questions being discussed, and sets out what the essay is going to cover.
Your essay body is divided into paragraphs. These paragraphs help make a continuous, flowing text.
The conclusion summarises the main points made in the essay. Avoid introducing new information in your conclusion.
This is a list of the resources you've used in your essay. This is usually presented alphabetically by authors’ surname.
Reference for the Table of Distinctions above:
Cottrell, S. (2003). The Study Skills Handbook (2nd ed.). Basingstoke: Palgrave.
Download this page as a PDF for your report and essay revision notes.
Find an undergraduate or postgraduate degree course that suits you at Portsmouth.
Find out about the guidance and support you'll get if you need a helping hand with academic life – or life in general – when you study with us at Portsmouth.
Table of contents
Every student needs to write some academic papers for the university. However, even young people with experience can't determine the difference between an essay and a research paper. Although these two areas of academic writing have many similarities, the requirements are still significantly different.
To get to the heart of the matter of these two academic assignments, we should start by getting an essay vs research paper definition.
What is an essay.
An essay is a short piece of work, the purpose of which is to present individual thoughts regarding a chosen topic. Often, essays do not pretend to be scientific but require a defined structure. The basic requirements for an essay suggest writing a five-paragraph piece that contains an introduction, a body, and a conclusion.
What makes your essay unique is your creativity and the novelty of your ideas. To easily structure your thoughts and present them clearly to the reader, you should devote time to drafting an essay . Before you start writing your essay, brainstorm the freshest ideas. Thus, even though all your classmates will use the same five-paragraph structure as you, your ideas will impress the teacher. Experiment with meaning, not form.
The difference between an essay and a research paper revolves around the academic approaches. Research work is the depth of study of a selected scientific topic, which should bring scientific novelty by drawing conclusions based on existing research and experiments conducted. For students, it’s not enough to state the facts or express their point of view regarding the topic. Your task is to comprehensively study the subject of research, familiarize yourself with existing opinions, and outline the direction of the upcoming study.
Your teacher will expect you to demonstrate analytical skills, the ability to select reliable sources, and a broad theoretical base on your research topic. Research papers require creativity, erudition, and orientation in the topic.
The central difference is the goal of these academic assignments. The essay aims to express an individual point of view and find a creative, fresh approach to an existing topic. A good research paper seeks to introduce scientific novelty by examining existing data and conducting new experiments to analyze the information obtained.
The first and main difference between an essay and a research paper is the purpose of writing . An essay as an academic task has the goal of developing students' creative thinking. It also teaches us a structured presentation of thoughts regarding a certain topic. The student is required to have a non-standard approach, fresh thoughts, and reasoned conclusions on the given topic.
The purpose of the research work is to study a scientific topic in detail. This academic assignment is aimed at assessing the student’s analytical abilities and competence to determine cause-and-effect relationships, filter sources, and formulate logical conclusions. Such work requires theoretical knowledge, preliminary study of existing scientific works, and the ability to formulate goals and research methods.
Moreover, a student is supposed to show the capacity to draw comprehensive conclusions based on available data and information obtained during independent research. This task may seem complicated to students, so they opt for resorting to the help of PapersOwl writing service to save time.
To start with, the basic structure of any college essay involves a text consisting of five paragraphs, divided into three main factions: introduction, body part, and conclusion. When students lack time to compose a nicely structured academic essay, they can always pay to write a research paper and have their tasks done by a professional. The introduction presents the topic, sets the main direction for further text, and also works as a bait to motivate the reader to study further work. The introduction is followed by three body paragraphs. Each of the three body paragraphs presents a separate idea.
The last paragraph of any essay is a conclusion. In this paragraph, the college or university student must resume the arguments and ideas presented in the text, summarizing them into the main message of the essay. Often, the idea that you present in your conclusions will be most memorable to the reader.
Consequently, let’s overview the structure of a research paper. Compared to the structure of an essay, the organization of a research paper is much more ornate. This type of work requires a title page and abstract that go before the main body of text. On the title page, the student describes his topic of work, as well as gives contact details. An abstract is a short description of the main ideas and research methods of your work. The research work itself consists of an introduction, background, main part, and conclusions. Also, at the very end, they often add acknowledgments and a list of references, which must be formatted following the required international format.
The length and depth of analysis between these two academic assignments also differ significantly. As for the essay, it is often a short prose piece whose length does not exceed 1000 words. You are faced with the task of fitting a large array of ideas into a small amount of text. The essay format itself rarely requires rigorous and thorough research of the topic, but you should work on creativity and the presence of a message in your essay. Most academic papers fall in the 300 to 600-word range.
On the other hand, a research paper is a scientific project that includes many theoretical aspects that require analysis and clarification. Thus, the volume is significantly bigger. Basic research paper lengths range from 4,000 to 6,000 words. In this case, you will no doubt have to conduct a comprehensive analysis of the selected sources, formulate a research vector, and spend time conducting your experiments, or ask PapersOwl to do a research paper for you . A research paper is a scientific project that includes many theoretical aspects that require analysis and clarification.
The presence of theoretical sources and references is not a mandatory requirement for an essay. You can state your own thoughts on a given topic without resorting to the help of existing sources. Present your ideas on the topic, giving arguments that seem logical to you. If you do decide to base your paper on existing works, you must be sure to indicate where the information was taken from. And yet, the teacher needs to see your own thoughts rather than a dry listing of existing ideas.
Unlike an essay, a quality research paper must include primary and secondary sources, as well as a specific citation format. Surely, you are not the first person to study this scientific topic. In order not to repeat existing thoughts, you need to conduct a search to form a reliable basis for your study. If you skip this step, you risk basing your paper on misleading scientific findings.
The very specificity of the essay as an academic paper is the subjective presentation of information. A large percentage of your essay should consist of your perspective and vision of the chosen topic. For this reason, essays often use a less formal and more subjective tone. However, you can still use a large amount of colloquial vocabulary, completely disregarding the norms of formal style. Students often have trouble figuring out the right style for their university assignments. In such cases, a reasonable solution is to seek help from a specialist. When you buy custom-written essays from PapersOwl, you’ll always get a perfectly balanced academic paper.
On the other hand, a research paper is a serious scientific work. The student must maintain a formal tone while complying with all structural requirements. Also, in investigative work, there is little room for subjectivity and a personal approach since an objective style is required. At the same time, do not oversaturate your research work with formalism and standard clichés.
The essay format can be used both in the educational process and in an independent literary style. Therefore, the audience for such a written assignment can be wide and varied. When you’re writing an essay, make sure it’s understandable in academia and for a wide audience.
Research work, on the contrary, is aimed at a range of professionals in the chosen field. Written in scientific language, the goal of this work is to attract the attention of scientists and students of certain majors. Your scientific work should be rich in theory and related terms.
As you may have noticed, research papers and essays have many differences, both global and specific. These two types of academic assignments differ in the purpose of writing, have different structures and formats, and are aimed at testing different skills. And yet, every day, students face difficulties in understanding the basic requirements, which leads to incorrect execution of the task. To summarize the main differences, let's look at the table below.
There are many types of papers, each focusing on different topics, serving different purposes, and requiring a specific structure. Those are different types of essays that share a common ground but differ in the way they present information and arguments.
Analytical paper. The purpose of such an essay is an in-depth analysis of the chosen topic, studying different approaches and points of view, and formulating one’s own conclusions based on the information studied and scientific evidence.
Argumentative paper. This type of essay takes as a basis an ambiguous topic; the author must take a certain position and provide a number of arguments.
Informative paper. It has an informative purpose — a presentation of information to the reader, preceded by careful analysis and selection of data.
Persuasive paper . The purpose of this paper is to present convincing arguments, using chosen writing techniques, confirming the author’s position regarding the selected scientific topic.
To get a high grade, you need to understand the requirements of academic requirements. No matter how informatively rich your work is, if it does not meet the requirements, it cannot be highly appreciated. Each type of academic assignment has its own clearly defined, unique format. It’s necessary to know the difference between a research paper vs argumentative essay so as not to get confused while completing a college assignment. So before you start writing an assignment, make sure you understand the type of academic writing required of you.
Research papers and essays are aimed at testing various skills of the student, following different structures, and having several requirements. An essay is a more creative writing task, which involves showing originality and expressing a personal opinion on a certain topic. At the same time, a research paper is a type of scientific writing that adheres to a strict structure and uses a formal tone. Understanding the main differences will make your writing process easier, saving you time researching the requirements. Remember that knowing the essence of the assignment is a key factor in writing a decent paper.
Just fill out the form, press the button, and have no worries!
We use cookies to give you the best experience possible. By continuing we’ll assume you board with our cookie policy.
In obsolete terms the difference between study and essay, coordinate terms, derived terms, related terms.
April 11, 2013
15 min read
E-readers and tablets are becoming more popular as such technologies improve, but research suggests that reading on paper still boasts unique advantages
By Ferris Jabr
Getty Images
If you're enjoying this article, consider supporting our award-winning journalism by subscribing . By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.
In a viral YouTube video from October 2011 a one-year-old girl sweeps her fingers across an iPad's touchscreen, shuffling groups of icons. In the following scenes she appears to pinch, swipe and prod the pages of paper magazines as though they too were screens. When nothing happens, she pushes against her leg, confirming that her finger works just fine—or so a title card would have us believe. The girl's father, Jean-Louis Constanza , presents "A Magazine Is an iPad That Does Not Work" as naturalistic observation—a Jane Goodall among the chimps moment—that reveals a generational transition. "Technology codes our minds," he writes in the video's description. "Magazines are now useless and impossible to understand, for digital natives"—that is, for people who have been interacting with digital technologies from a very early age. Perhaps his daughter really did expect the paper magazines to respond the same way an iPad would. Or maybe she had no expectations at all—maybe she just wanted to touch the magazines. Babies touch everything . Young children who have never seen a tablet like the iPad or an e-reader like the Kindle will still reach out and run their fingers across the pages of a paper book; they will jab at an illustration they like; heck, they will even taste the corner of a book. Today's so-called digital natives still interact with a mix of paper magazines and books, as well as tablets, smartphones and e-readers; using one kind of technology does not preclude them from understanding another. Nevertheless, the video brings into focus an important question: How exactly does the technology we use to read change the way we read? How reading on screens differs from reading on paper is relevant not just to the youngest among us , but to just about everyone who reads—to anyone who routinely switches between working long hours in front of a computer at the office and leisurely reading paper magazines and books at home; to people who have embraced e-readers for their convenience and portability, but admit that for some reason they still prefer reading on paper; and to those who have already vowed to forgo tree pulp entirely. As digital texts and technologies become more prevalent, we gain new and more mobile ways of reading—but are we still reading as attentively and thoroughly? How do our brains respond differently to onscreen text than to words on paper? Should we be worried about dividing our attention between pixels and ink or is the validity of such concerns paper-thin? Since at least the 1980s researchers in many different fields—including psychology, computer engineering, and library and information science—have investigated such questions in more than one hundred published studies. The matter is by no means settled. Before 1992 most studies concluded that people read slower, less accurately and less comprehensively on screens than on paper. Studies published since the early 1990s , however, have produced more inconsistent results: a slight majority has confirmed earlier conclusions, but almost as many have found few significant differences in reading speed or comprehension between paper and screens. And recent surveys suggest that although most people still prefer paper—especially when reading intensively—attitudes are changing as tablets and e-reading technology improve and reading digital books for facts and fun becomes more common. In the U.S., e-books currently make up between 15 and 20 percent of all trade book sales. Even so, evidence from laboratory experiments , polls and consumer reports indicates that modern screens and e-readers fail to adequately recreate certain tactile experiences of reading on paper that many people miss and, more importantly, prevent people from navigating long texts in an intuitive and satisfying way. In turn, such navigational difficulties may subtly inhibit reading comprehension. Compared with paper, screens may also drain more of our mental resources while we are reading and make it a little harder to remember what we read when we are done. A parallel line of research focuses on people's attitudes toward different kinds of media. Whether they realize it or not, many people approach computers and tablets with a state of mind less conducive to learning than the one they bring to paper.
"There is physicality in reading," says developmental psychologist and cognitive scientist Maryanne Wolf of Tufts University, "maybe even more than we want to think about as we lurch into digital reading—as we move forward perhaps with too little reflection. I would like to preserve the absolute best of older forms, but know when to use the new." Navigating textual landscapes Understanding how reading on paper is different from reading on screens requires some explanation of how the brain interprets written language. We often think of reading as a cerebral activity concerned with the abstract—with thoughts and ideas, tone and themes, metaphors and motifs. As far as our brains are concerned, however, text is a tangible part of the physical world we inhabit. In fact, the brain essentially regards letters as physical objects because it does not really have another way of understanding them. As Wolf explains in her book Proust and the Squid , we are not born with brain circuits dedicated to reading. After all, we did not invent writing until relatively recently in our evolutionary history, around the fourth millennium B.C. So the human brain improvises a brand-new circuit for reading by weaving together various regions of neural tissue devoted to other abilities, such as spoken language, motor coordination and vision. Some of these repurposed brain regions are specialized for object recognition —they are networks of neurons that help us instantly distinguish an apple from an orange, for example, yet classify both as fruit. Just as we learn that certain features—roundness, a twiggy stem, smooth skin—characterize an apple, we learn to recognize each letter by its particular arrangement of lines, curves and hollow spaces. Some of the earliest forms of writing, such as Sumerian cuneiform , began as characters shaped like the objects they represented —a person's head, an ear of barley, a fish. Some researchers see traces of these origins in modern alphabets: C as crescent moon, S as snake. Especially intricate characters—such as Chinese hanzi and Japanese kanji —activate motor regions in the brain involved in forming those characters on paper: The brain literally goes through the motions of writing when reading, even if the hands are empty. Researchers recently discovered that the same thing happens in a milder way when some people read cursive. Beyond treating individual letters as physical objects, the human brain may also perceive a text in its entirety as a kind of physical landscape. When we read, we construct a mental representation of the text in which meaning is anchored to structure. The exact nature of such representations remains unclear, but they are likely similar to the mental maps we create of terrain—such as mountains and trails—and of man-made physical spaces, such as apartments and offices. Both anecdotally and in published studies , people report that when trying to locate a particular piece of written information they often remember where in the text it appeared. We might recall that we passed the red farmhouse near the start of the trail before we started climbing uphill through the forest; in a similar way, we remember that we read about Mr. Darcy rebuffing Elizabeth Bennett on the bottom of the left-hand page in one of the earlier chapters. In most cases, paper books have more obvious topography than onscreen text. An open paperback presents a reader with two clearly defined domains—the left and right pages—and a total of eight corners with which to orient oneself. A reader can focus on a single page of a paper book without losing sight of the whole text: one can see where the book begins and ends and where one page is in relation to those borders. One can even feel the thickness of the pages read in one hand and pages to be read in the other. Turning the pages of a paper book is like leaving one footprint after another on the trail—there's a rhythm to it and a visible record of how far one has traveled. All these features not only make text in a paper book easily navigable, they also make it easier to form a coherent mental map of the text. In contrast, most screens, e-readers, smartphones and tablets interfere with intuitive navigation of a text and inhibit people from mapping the journey in their minds. A reader of digital text might scroll through a seamless stream of words, tap forward one page at a time or use the search function to immediately locate a particular phrase—but it is difficult to see any one passage in the context of the entire text. As an analogy, imagine if Google Maps allowed people to navigate street by individual street, as well as to teleport to any specific address, but prevented them from zooming out to see a neighborhood, state or country. Although e-readers like the Kindle and tablets like the iPad re-create pagination—sometimes complete with page numbers, headers and illustrations—the screen only displays a single virtual page: it is there and then it is gone. Instead of hiking the trail yourself, the trees, rocks and moss move past you in flashes with no trace of what came before and no way to see what lies ahead. "The implicit feel of where you are in a physical book turns out to be more important than we realized," says Abigail Sellen of Microsoft Research Cambridge in England and co-author of The Myth of the Paperless Office . "Only when you get an e-book do you start to miss it. I don't think e-book manufacturers have thought enough about how you might visualize where you are in a book." At least a few studies suggest that by limiting the way people navigate texts, screens impair comprehension. In a study published in January 2013 Anne Mangen of the University of Stavanger in Norway and her colleagues asked 72 10th-grade students of similar reading ability to study one narrative and one expository text, each about 1,500 words in length. Half the students read the texts on paper and half read them in pdf files on computers with 15-inch liquid-crystal display (LCD) monitors. Afterward, students completed reading-comprehension tests consisting of multiple-choice and short-answer questions, during which they had access to the texts. Students who read the texts on computers performed a little worse than students who read on paper. Based on observations during the study, Mangen thinks that students reading pdf files had a more difficult time finding particular information when referencing the texts. Volunteers on computers could only scroll or click through the pdfs one section at a time, whereas students reading on paper could hold the text in its entirety in their hands and quickly switch between different pages. Because of their easy navigability, paper books and documents may be better suited to absorption in a text. "The ease with which you can find out the beginning, end and everything inbetween and the constant connection to your path, your progress in the text, might be some way of making it less taxing cognitively, so you have more free capacity for comprehension," Mangen says. Supporting this research, surveys indicate that screens and e-readers interfere with two other important aspects of navigating texts: serendipity and a sense of control. People report that they enjoy flipping to a previous section of a paper book when a sentence surfaces a memory of something they read earlier, for example, or quickly scanning ahead on a whim. People also like to have as much control over a text as possible—to highlight with chemical ink, easily write notes to themselves in the margins as well as deform the paper however they choose. Because of these preferences—and because getting away from multipurpose screens improves concentration—people consistently say that when they really want to dive into a text, they read it on paper. In a 2011 survey of graduate students at National Taiwan University, the majority reported browsing a few paragraphs online before printing out the whole text for more in-depth reading. A 2008 survey of millennials (people born between 1980 and the early 2000s) at Salve Regina University in Rhode Island concluded that, "when it comes to reading a book, even they prefer good, old-fashioned print". And in a 2003 study conducted at the National Autonomous University of Mexico, nearly 80 percent of 687 surveyed students preferred to read text on paper as opposed to on a screen in order to "understand it with clarity". Surveys and consumer reports also suggest that the sensory experiences typically associated with reading—especially tactile experiences—matter to people more than one might assume. Text on a computer, an e-reader and—somewhat ironically—on any touch-screen device is far more intangible than text on paper. Whereas a paper book is made from pages of printed letters fixed in a particular arrangement, the text that appears on a screen is not part of the device's hardware—it is an ephemeral image. When reading a paper book, one can feel the paper and ink and smooth or fold a page with one's fingers; the pages make a distinctive sound when turned; and underlining or highlighting a sentence with ink permanently alters the paper's chemistry. So far, digital texts have not satisfyingly replicated this kind of tactility (although some companies are innovating, at least with keyboards ). Paper books also have an immediately discernible size, shape and weight. We might refer to a hardcover edition of War and Peace as a hefty tome or a paperback Heart of Darkness as a slim volume. In contrast, although a digital text has a length—which is sometimes represented with a scroll or progress bar—it has no obvious shape or thickness. An e-reader always weighs the same, regardless of whether you are reading Proust's magnum opus or one of Hemingway's short stories. Some researchers have found that these discrepancies create enough " haptic dissonance " to dissuade some people from using e-readers. People expect books to look, feel and even smell a certain way; when they do not, reading sometimes becomes less enjoyable or even unpleasant. For others, the convenience of a slim portable e-reader outweighs any attachment they might have to the feel of paper books. Exhaustive reading Although many old and recent studies conclude that people understand what they read on paper more thoroughly than what they read on screens, the differences are often small. Some experiments, however, suggest that researchers should look not just at immediate reading comprehension, but also at long-term memory. In a 2003 study Kate Garland of the University of Leicester and her colleagues asked 50 British college students to read study material from an introductory economics course either on a computer monitor or in a spiral-bound booklet. After 20 minutes of reading Garland and her colleagues quizzed the students with multiple-choice questions. Students scored equally well regardless of the medium, but differed in how they remembered the information. Psychologists distinguish between remembering something—which is to recall a piece of information along with contextual details, such as where, when and how one learned it—and knowing something, which is feeling that something is true without remembering how one learned the information. Generally, remembering is a weaker form of memory that is likely to fade unless it is converted into more stable, long-term memory that is "known" from then on. When taking the quiz, volunteers who had read study material on a monitor relied much more on remembering than on knowing, whereas students who read on paper depended equally on remembering and knowing. Garland and her colleagues think that students who read on paper learned the study material more thoroughly more quickly; they did not have to spend a lot of time searching their minds for information from the text, trying to trigger the right memory—they often just knew the answers. Other researchers have suggested that people comprehend less when they read on a screen because screen-based reading is more physically and mentally taxing than reading on paper. E-ink is easy on the eyes because it reflects ambient light just like a paper book, but computer screens, smartphones and tablets like the iPad shine light directly into people's faces. Depending on the model of the device, glare, pixilation and flickers can also tire the eyes. LCDs are certainly gentler on eyes than their predecessor, cathode-ray tubes (CRT), but prolonged reading on glossy self-illuminated screens can cause eyestrain, headaches and blurred vision. Such symptoms are so common among people who read on screens—affecting around 70 percent of people who work long hours in front of computers—that the American Optometric Association officially recognizes computer vision syndrome . Erik Wästlund of Karlstad University in Sweden has conducted some particularly rigorous research on whether paper or screens demand more physical and cognitive resources. In one of his experiments 72 volunteers completed the Higher Education Entrance Examination READ test—a 30-minute, Swedish-language reading-comprehension exam consisting of multiple-choice questions about five texts averaging 1,000 words each. People who took the test on a computer scored lower and reported higher levels of stress and tiredness than people who completed it on paper. In another set of experiments 82 volunteers completed the READ test on computers, either as a paginated document or as a continuous piece of text. Afterward researchers assessed the students' attention and working memory, which is a collection of mental talents that allow people to temporarily store and manipulate information in their minds. Volunteers had to quickly close a series of pop-up windows, for example, sort virtual cards or remember digits that flashed on a screen. Like many cognitive abilities, working memory is a finite resource that diminishes with exertion. Although people in both groups performed equally well on the READ test, those who had to scroll through the continuous text did not do as well on the attention and working-memory tests. Wästlund thinks that scrolling—which requires a reader to consciously focus on both the text and how they are moving it—drains more mental resources than turning or clicking a page, which are simpler and more automatic gestures. A 2004 study conducted at the University of Central Florida reached similar conclusions. Attitude adjustments An emerging collection of studies emphasizes that in addition to screens possibly taxing people's attention more than paper, people do not always bring as much mental effort to screens in the first place. Subconsciously, many people may think of reading on a computer or tablet as a less serious affair than reading on paper. Based on a detailed 2005 survey of 113 people in northern California, Ziming Liu of San Jose State University concluded that people reading on screens take a lot of shortcuts—they spend more time browsing, scanning and hunting for keywords compared with people reading on paper, and are more likely to read a document once, and only once. When reading on screens, people seem less inclined to engage in what psychologists call metacognitive learning regulation—strategies such as setting specific goals, rereading difficult sections and checking how much one has understood along the way. In a 2011 experiment at the Technion–Israel Institute of Technology, college students took multiple-choice exams about expository texts either on computers or on paper. Researchers limited half the volunteers to a meager seven minutes of study time; the other half could review the text for as long as they liked. When under pressure to read quickly, students using computers and paper performed equally well. When managing their own study time, however, volunteers using paper scored about 10 percentage points higher. Presumably, students using paper approached the exam with a more studious frame of mind than their screen-reading peers, and more effectively directed their attention and working memory. Perhaps, then, any discrepancies in reading comprehension between paper and screens will shrink as people's attitudes continue to change. The star of "A Magazine Is an iPad That Does Not Work" is three-and-a-half years old today and no longer interacts with paper magazines as though they were touchscreens, her father says. Perhaps she and her peers will grow up without the subtle bias against screens that seems to lurk in the minds of older generations. In current research for Microsoft, Sellen has learned that many people do not feel much ownership of e-books because of their impermanence and intangibility: "They think of using an e-book, not owning an e-book," she says. Participants in her studies say that when they really like an electronic book, they go out and get the paper version. This reminds Sellen of people's early opinions of digital music, which she has also studied. Despite initial resistance, people love curating, organizing and sharing digital music today. Attitudes toward e-books may transition in a similar way, especially if e-readers and tablets allow more sharing and social interaction than they currently do. Books on the Kindle can only be loaned once , for example. To date, many engineers, designers and user-interface experts have worked hard to make reading on an e-reader or tablet as close to reading on paper as possible. E-ink resembles chemical ink and the simple layout of the Kindle's screen looks like a page in a paperback. Likewise, Apple's iBooks attempts to simulate the overall aesthetic of paper books, including somewhat realistic page-turning. Jaejeung Kim of KAIST Institute of Information Technology Convergence in South Korea and his colleagues have designed an innovative and unreleased interface that makes iBooks seem primitive. When using their interface, one can see the many individual pages one has read on the left side of the tablet and all the unread pages on the right side, as if holding a paperback in one's hands. A reader can also flip bundles of pages at a time with a flick of a finger. But why, one could ask, are we working so hard to make reading with new technologies like tablets and e-readers so similar to the experience of reading on the very ancient technology that is paper? Why not keep paper and evolve screen-based reading into something else entirely? Screens obviously offer readers experiences that paper cannot. Scrolling may not be the ideal way to navigate a text as long and dense as Moby Dick , but the New York Times , Washington Post , ESPN and other media outlets have created beautiful, highly visual articles that depend entirely on scrolling and could not appear in print in the same way. Some Web comics and infographics turn scrolling into a strength rather than a weakness. Similarly, Robin Sloan has pioneered the tap essay for mobile devices. The immensely popular interactive Scale of the Universe tool could not have been made on paper in any practical way. New e-publishing companies like Atavist offer tablet readers long-form journalism with embedded interactive graphics, maps, timelines, animations and sound tracks. And some writers are pairing up with computer programmers to produce ever more sophisticated interactive fiction and nonfiction in which one's choices determine what one reads, hears and sees next. When it comes to intensively reading long pieces of plain text, paper and ink may still have the advantage. But text is not the only way to read.
Stack Exchange network consists of 183 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Q&A for work
Connect and share knowledge within a single location that is structured and easy to search.
As I know, in most of situations (in scientific context) these two terms are used to point to same thing and even they are used interchangeably.
For example,
Theory of value with public goods: A survey article
A survey paper on cloud computing
Are there any major differences between them? and can we use them interchangeably in any context?
The following extract helps understand the difference between a research article and a research paper :
Research paper and research articles are pieces of writing that require critical analysis, inquiry, insight, and demonstration of some special skills from students and scientists. It is really overwhelming for students when their teachers ask them to write a research paper as a form of assignment. Students remain confused between a research paper and a research article because of their similarities. This article attempts to find out if the two terms are synonymous or there is any difference between the two.
Research Article
What do you do when you are a scientist or a scholar and have arrived at a solution to a problem or have made a discovery that you want to share with the world? Well, one of the best ways to let the world know about your piece of wisdom or knowledge is through a research article. This is a piece of writing that contains an original research idea with the relevant data and findings Research article is published in renowned scientific journals that are involved with works in the area to which the paper pertains. A research article is a paper or writing that informs people of a path breaking research or a finding with clinical data to support the finding.
Research Paper
Research is an activity that is given much importance in academics, and this is why assignments requiring research and technical writing start early in the school. Students are asked to submit a research paper as early as in High School, and they become used to the concept when they are pursuing higher studies in colleges. However, a research paper is not just these assignment papers written by students as those written by scholars and scientists and published in journals are also referred to as research papers.
• There is no difference as such between a research article and a research paper and both involve original research with findings. • There is a trend to refer to term papers and academic papers written by students in colleges as research papers whereas articles submitted by scholars and scientists with their groundbreaking research are termed as research articles. • Research articles are published in renowned scientific journals whereas papers written by students do not go to journals.
(www.differencebetween.com)
There is no definitive distinction between papers and articles that can be applied to all scientific disciplines. Usage varies between disciplines. and within disciplines it can vary depending on context.
Both the examples quoted refer to ‘writings’ that are surveys (in other areas often termed reviews) — one in the field of a social science (economics) and the other in a numerical science (computing). However the term science is also (and perhaps more) associated with the experimental sciences (physics, chemistry and biology), where the types of ‘writings’ are different and where different words are used to distinguish them.
Articles and papers in the Experimental Sciences
Let me illustrate this for the Biomolecular Sciences (biochemistry, molecular biology, molecular genetics and the like). As a practitioner in this area, when I hear these terms, e.g. talking to colleagues, I understand:
Paper : A report of a piece of experimental research work in which the original data presented by the authors was central to interpretation and conclusions regarding advancement of knowledge and understanding of the field. Article : A review or commentary in which the author was discussing the previously published work of others (perhaps including his own) in attempting to provide a perspective of the field or to present a new theory/model/interpretation by integrating such work.
However, despite this professional conversational use of the terms, if I go to any specific journal — here the US heavyweight, Journal of Biological Chemistry (JBC) — I would find a somewhat different usage:
JBC publishes several types of articles but only two of those can be submitted as an unsolicited manuscript: regular papers and accelerated communications.
Thus, JBC regards all the ‘writings’ it publishes as ‘articles’, in common with other journals such as The Journal of Biophysics , and this is consistent with general non-scientific usage — “I read an article in the Financial Times yesterday…”
The way JBC uses ‘regular paper’, is consistent with my specialist conversational definition (above), and although it doesn’t actually say what types of ‘article’ are unsolicited, but if you look at a table of contents of the journal , you would conclude that for this journal it is ‘minireviews’ and historical appraisals of the work of individual scientists.
The Journal of Biophysics only uses the term ‘paper’ in describing only one of its categories of ‘article’:
Comments to the Editor | Short commentaries on a paper published earlier in BJ.
Again using ‘paper’ rather in the sense I defined above.
To conclude, in the extended sense used by peer-reviewed journals in the experimental sciences, all published ‘papers’ can be referred to as articles, but not all articles would be referred to as ‘papers’. (One wouldn’t use ‘paper’ for an editorial, a news item and generally not for a review.) This is exactly the opposite conclusion reached by @1006a from his reading of the OED.
Conflict with the OED and non-experimental sciences
How can one resolve the conflict with the OED, mentioned above? I think the OED describes more traditional usage in the non-experimental sciences and the arts. It is pertinent, in this respect, to consider the phrase “reading a paper” .
As far as my area of science goes, this is just a rather outdated term for presenting one’s results orally at a conference. The talk in itself is transitory, the abstract unreviewed, and the information conveyed will most probably be published elsewhere.
However for colleagues in computing science the talk is likely to be based on a ‘paper’ that has been submitted to the conference organisers, selected after peer-review, and will be published as conference proceedings or in a journal associated with the conference. This is more in line with traditional non-scientific academic presentations, although in this case the ‘paper’ might never have been published.
The difference would seem to derive in part from whether the field of science is one in which original work is in the form of ideas or in the form of measurements and their interpretation.
The distinction I would make is that an article is formally published, generally in some kind of periodical. The relevant definition, from Oxford Dictionaries:
A piece of writing included with others in a newspaper, magazine, or other publication.
Scholarly/scientific/research articles are thus "pieces of writing included with others in" an appropriate publication, most often an academic journal (see Wikipedia).
A paper , on the other hand, may or may not be published anywhere; and if it is published, may be in some alternate venue like conference proceedings (though it can be published in a scholarly journal). Again from Oxford:
An essay or dissertation, especially one read at an academic lecture or seminar or published in an academic journal.
So you can generally call any scientific (research) article a paper, but not all papers are articles.
Edited to clarify the last sentence, to which I also added the parenthetical (research):
Of course, not all articles are scientific (or research ) articles; that distinction generally means that the article presents original research, and as I am using it, that it has met certain standards of whichever field it represents (usually some form of peer review) so that it can be published in a scientific/scholarly journal. A scientific (research) paper meets the first of these criteria, but not necessarily the second (it presents original research, but may or may not be published). There are other kinds of articles/papers, which would ordinarily get a different modifier, like review or meta-review (or newspaper/magazine etc. for articles), or might commonly go by other terms altogether, like essay .
By this definition, not all articles are papers, and not all papers are articles, but all scientific (research) articles are also scientific (research) papers.
Sign up or log in, post as a guest.
Required, but never shown
By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy .
Hot network questions.
There's a reason you won't be asked to write multiple theses for one class or even in one academic year. While you definitely need to have some knowledge on a topic to write an essay, writing a thesis requires you to become an expert on your topic. In other words, a thesis is a lot of work.
An essay should include an introduction that includes a thesis statement, which is one sentence that summarizes the writer's purpose or point, just as a full thesis does. An essay will then traditionally include three or more body paragraphs with topic sentences that elaborate on the point and a conclusion paragraph that explains how the points made in the body of the essay prove the writer's thesis statement.
Most essays can and do include outside arguments from written pieces of work to help support the writer's conclusions. A short bibliography, or works cited page, should be included at the end of an essay that refers to or quotes other written works.
A thesis traditionally includes an abstract as well as an entire section of several paragraphs that introduce the writer's topic and the outside works a writer will be analyzing to reach their conclusions. The introductory section is followed by a body of writing that examines prior written works on the topic and proposes how to look at the topic from a new angle. A final section should both summarize the points made and explain how the thesis writer synthesized those prior works to form the new and original conclusion the thesis writer has reached on that topic.
An average essay is anywhere from one to five pages long. Five to seven paragraphs, including the introduction and conclusion paragraphs, are sufficient for an essay, although some are longer.
The average thesis for an undergraduate writer is 40 to 60 pages long and an average graduate or doctoral thesis is between 60 to 100 pages.
The point of an essay can be to tell a story, describe an event or other topic, persuade a reader to agree with a certain viewpoint, or relate information in a strictly factual way.
The point of a thesis is to look at information in a new way and present a comprehensive look at how the topic has been analyzed before. A thesis uses the knowledge learned from an entire college program to create an expert opinion that can be fully explained and supported.
NEW: Classroom Clean-Up/Set-Up Email Course! 🧽
Ideas to inspire every young writer!
High school students generally do a lot of writing, learning to use language clearly, concisely, and persuasively. When it’s time to choose an essay topic, though, it’s easy to come up blank. If that’s the case, check out this huge round-up of essay topics for high school. You’ll find choices for every subject and writing style.
Argumentative essay topics for high school.
When writing an argumentative essay, remember to do the research and lay out the facts clearly. Your goal is not necessarily to persuade someone to agree with you, but to encourage your reader to accept your point of view as valid. Here are some possible argumentative topics to try. ( Here are 100 more compelling argumentative essay topics. )
WeAreTeachers
A cause-and-effect essay is a type of argumentative essay. Your goal is to show how one specific thing directly influences another specific thing. You’ll likely need to do some research to make your point. Here are some ideas for cause-and-effect essays. ( Get a big list of 100 cause-and-effect essay topics here. )
As the name indicates, in compare-and-contrast essays, writers show the similarities and differences between two things. They combine descriptive writing with analysis, making connections and showing dissimilarities. The following ideas work well for compare-contrast essays. ( Find 80+ compare-contrast essay topics for all ages here. )
Bring on the adjectives! Descriptive writing is all about creating a rich picture for the reader. Take readers on a journey to far-off places, help them understand an experience, or introduce them to a new person. Remember: Show, don’t tell. These topics make excellent descriptive essays.
Expository essays set out clear explanations of a particular topic. You might be defining a word or phrase or explaining how something works. Expository or informative essays are based on facts, and while you might explore different points of view, you won’t necessarily say which one is “better” or “right.” Remember: Expository essays educate the reader. Here are some expository and informative essay topics to explore. ( See 70+ expository and informative essay topics here. )
Humorous essays can take on any form, like narrative, persuasive, or expository. You might employ sarcasm or satire, or simply tell a story about a funny person or event. Even though these essay topics are lighthearted, they still take some skill to tackle well. Give these ideas a try.
Literary essays analyze a piece of writing, like a book or a play. In high school, students usually write literary essays about the works they study in class. These literary essay topic ideas focus on books students often read in high school, but many of them can be tweaked to fit other works as well.
Think of a narrative essay like telling a story. Use some of the same techniques that you would for a descriptive essay, but be sure you have a beginning, middle, and end. A narrative essay doesn’t necessarily need to be personal, but they often are. Take inspiration from these narrative and personal essay topics.
Persuasive essays are similar to argumentative , but they rely less on facts and more on emotion to sway the reader. It’s important to know your audience, so you can anticipate any counterarguments they might make and try to overcome them. Try these topics to persuade someone to come around to your point of view. ( Discover 60 more intriguing persuasive essay topics here. )
A research essay is a classic high school assignment. These papers require deep research into primary source documents, with lots of supporting facts and evidence that’s properly cited. Research essays can be in any of the styles shown above. Here are some possible topics, across a variety of subjects.
Plus, check out the ultimate guide to student writing contests .
We Are Teachers
Practice making well-reasoned arguments using research and facts. Continue Reading
Copyright © 2024. All rights reserved. 5335 Gate Parkway, Jacksonville, FL 32256
Chris has a master's degree in history and teaches at the University of Northern Colorado.
History…and its history, lesson summary.
The great thing about history is that it's all-encompassing. History is everything, and everything has a history. Want to know why we think policing should be a full-time profession? There's a history to that. Want to know why your couch looks the way it does? There's a history to that. Want to know why you're reading about writing about history on an online educational site? There's a history to that too.
Of course, the same thing that makes history so fascinating also makes it a bit overwhelming. How do we begin to understand all of human history? Historians are dedicated to the task of unraveling the mysteries of the past, but there are multiple ways to do this. Since history is created by humans, we need to study the history of how we make and teach history, as well as the history itself. Yes, there's a history to that too.
Today, we're going to compare two of the most important kinds of writings that historians and history students engage in. Let's start with the research paper . A history research paper is an argument-driven examination of past events. The goal is not to simply say what happened in the past, but explain why it occurred, as well as how it impacted other moments. The central argument of a history research paper is called the thesis ; this is what drives the paper.
So, where does the argument come from? That's where the research component comes in. Let's think of a history paper like a science experiment. First, you ask a question like, ''What happens when you combine oxygen and hydrogen?'' Then you test it and use that data to argue that hydrogen, and oxygen, make water molecules.
History research is similar. You can ask a research question (why did the Civil War occur?), then examine the evidence, and use that, to create an argument which answers the question. The evidence for history comes from primary sources , or the ways people recorded information in their lives. Perhaps we could look at South Carolina's Declaration of Causes, which explains their reasons for seceding, or examine Jefferson Davis' letters, or look at political cartoons from both the North and South.
History research papers help us to write history and understand what past events meant to people who lived through them. This is how we interact with the past.
As we mentioned, everything has a history to it, and history is no exception. You could write a research paper about the American Civil War, but what have other historians said about this topic, and why? A history of the history is called a historiography . The goal is not to look at the past and try to explain what happened and why, but instead to look at how the past has been studied, interpreted, and analyzed by historians across time.
So, how is writing a historiographical essay different than writing a research paper? The goal of a research paper is to argue how and why events of the past transpired, and the impact they had on human lives. The goal of a historiography is to understand how a past event has been interpreted and understood by historians across time. This means that to write a historiography, you won't be reading and analyzing a lot of primary sources. Instead, your data set is made of other history research papers.
Imagine that you're doing a historiography on the American Civil War, as opposed to a research paper. For a research paper, you'd look at documents from that time period, created by people who experienced those events. For a historiography, you're going to read history research papers created by authors across time and see. how each of those historians, treated this topic. How did these historians influence each other's work? How did each interpret the conflict, and why did they feel this way? Why are there discrepancies in their analyses? Are there biases which may have influenced these interpretations, and how did these history papers influence the public's understanding of the past? The goal is not necessarily to label these historians' ideas as right or wrong, but just to understand how they reached their conclusions, and what impact this has had on how we understand the past.
So, do history research papers and historiographies have anything in common? Well, they both deal with the past, and how we construct a narrative of the past. Also, they both are argument-driven. Historiographies also contain a thesis, a central argument. The difference is that this thesis presents an argument about how an event has been treated by historians, rather than an argument about the event itself. Both of these are also very important to our understanding of history. It's important work. After all, everything has a history.
To unlock this lesson you must be a Study.com Member. Create your account
Historians explore the past, as well as how the past is studied, taught, and remembered. There are two kinds of projects at work here. A history research paper uses primary sources to argue how and why events occurred in the past, as well as the impact on human lives. A historiography , on the other hand, uses published research papers to explore how historians have constructed the narrative of history. It's a history of history, and yes, even that has a history to it as well. That's the great thing about this discipline. There's always more to study.
Unlock your education, see for yourself why 30 million people use study.com, become a study.com member and start learning now..
Already a member? Log In
I would definitely recommend Study.com to my colleagues. It’s like a teacher waved a magic wand and did the work for me. I feel like it’s a lifeline.
Create an account to start this course today Used by over 30 million students worldwide Create an account
Run a free plagiarism check in 10 minutes, generate accurate citations for free.
Published on September 14, 2022 by Tegan George . Revised on April 16, 2024.
A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master’s program or a capstone to a bachelor’s degree.
Writing a thesis can be a daunting experience. Other than a dissertation , it is one of the longest pieces of writing students typically complete. It relies on your ability to conduct research from start to finish: choosing a relevant topic , crafting a proposal , designing your research , collecting data , developing a robust analysis, drawing strong conclusions , and writing concisely .
You can also download our full thesis template in the format of your choice below. Our template includes a ready-made table of contents , as well as guidance for what each chapter should include. It’s easy to make it your own, and can help you get started.
Download Word template Download Google Docs template
Upload your document to correct all your mistakes in minutes
Thesis vs. thesis statement, how to structure a thesis, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your thesis, other interesting articles, frequently asked questions about theses.
You may have heard the word thesis as a standalone term or as a component of academic writing called a thesis statement . Keep in mind that these are two very different things.
The final structure of your thesis depends on a variety of components, such as:
Humanities theses are often structured more like a longer-form essay . Just like in an essay, you build an argument to support a central thesis.
In both hard and social sciences, theses typically include an introduction , literature review , methodology section , results section , discussion section , and conclusion section . These are each presented in their own dedicated section or chapter. In some cases, you might want to add an appendix .
We’ve compiled a short list of thesis examples to help you get started.
The very first page of your thesis contains all necessary identifying information, including:
Sometimes the title page also includes your student ID, the name of your supervisor, or the university’s logo. Check out your university’s guidelines if you’re not sure.
Read more about title pages
The acknowledgements section is usually optional. Its main point is to allow you to thank everyone who helped you in your thesis journey, such as supervisors, friends, or family. You can also choose to write a preface , but it’s typically one or the other, not both.
Read more about acknowledgements Read more about prefaces
An abstract is a short summary of your thesis. Usually a maximum of 300 words long, it’s should include brief descriptions of your research objectives , methods, results, and conclusions. Though it may seem short, it introduces your work to your audience, serving as a first impression of your thesis.
Read more about abstracts
A table of contents lists all of your sections, plus their corresponding page numbers and subheadings if you have them. This helps your reader seamlessly navigate your document.
Your table of contents should include all the major parts of your thesis. In particular, don’t forget the the appendices. If you used heading styles, it’s easy to generate an automatic table Microsoft Word.
Read more about tables of contents
While not mandatory, if you used a lot of tables and/or figures, it’s nice to include a list of them to help guide your reader. It’s also easy to generate one of these in Word: just use the “Insert Caption” feature.
Read more about lists of figures and tables
If you have used a lot of industry- or field-specific abbreviations in your thesis, you should include them in an alphabetized list of abbreviations . This way, your readers can easily look up any meanings they aren’t familiar with.
Read more about lists of abbreviations
Relatedly, if you find yourself using a lot of very specialized or field-specific terms that may not be familiar to your reader, consider including a glossary . Alphabetize the terms you want to include with a brief definition.
Read more about glossaries
An introduction sets up the topic, purpose, and relevance of your thesis, as well as expectations for your reader. This should:
In other words, your introduction should clearly and concisely show your reader the “what, why, and how” of your research.
Read more about introductions
A literature review helps you gain a robust understanding of any extant academic work on your topic, encompassing:
A literature review is not merely a summary of existing work. Rather, your literature review should ultimately lead to a clear justification for your own research, perhaps via:
Read more about literature reviews
Your literature review can often form the basis for your theoretical framework, but these are not the same thing. A theoretical framework defines and analyzes the concepts and theories that your research hinges on.
Read more about theoretical frameworks
Your methodology chapter shows your reader how you conducted your research. It should be written clearly and methodically, easily allowing your reader to critically assess the credibility of your argument. Furthermore, your methods section should convince your reader that your method was the best way to answer your research question.
A methodology section should generally include:
Read more about methodology sections
Your results section should highlight what your methodology discovered. These two sections work in tandem, but shouldn’t repeat each other. While your results section can include hypotheses or themes, don’t include any speculation or new arguments here.
Your results section should:
Additional data (like raw numbers or interview transcripts ) can be included as an appendix . You can include tables and figures, but only if they help the reader better understand your results.
Read more about results sections
Your discussion section is where you can interpret your results in detail. Did they meet your expectations? How well do they fit within the framework that you built? You can refer back to any relevant source material to situate your results within your field, but leave most of that analysis in your literature review.
For any unexpected results, offer explanations or alternative interpretations of your data.
Read more about discussion sections
Your thesis conclusion should concisely answer your main research question. It should leave your reader with an ultra-clear understanding of your central argument, and emphasize what your research specifically has contributed to your field.
Why does your research matter? What recommendations for future research do you have? Lastly, wrap up your work with any concluding remarks.
Read more about conclusions
In order to avoid plagiarism , don’t forget to include a full reference list at the end of your thesis, citing the sources that you used. Choose one citation style and follow it consistently throughout your thesis, taking note of the formatting requirements of each style.
Which style you choose is often set by your department or your field, but common styles include MLA , Chicago , and APA.
Create APA citations Create MLA citations
In order to stay clear and concise, your thesis should include the most essential information needed to answer your research question. However, chances are you have many contributing documents, like interview transcripts or survey questions . These can be added as appendices , to save space in the main body.
Read more about appendices
Once you’re done writing, the next part of your editing process begins. Leave plenty of time for proofreading and editing prior to submission. Nothing looks worse than grammar mistakes or sloppy spelling errors!
Consider using a professional thesis editing service or grammar checker to make sure your final project is perfect.
Once you’ve submitted your final product, it’s common practice to have a thesis defense, an oral component of your finished work. This is scheduled by your advisor or committee, and usually entails a presentation and Q&A session.
After your defense , your committee will meet to determine if you deserve any departmental honors or accolades. However, keep in mind that defenses are usually just a formality. If there are any serious issues with your work, these should be resolved with your advisor way before a defense.
If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!
Research bias
(AI) Tools
The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.
If you only used a few abbreviations in your thesis or dissertation , you don’t necessarily need to include a list of abbreviations .
If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.
When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .
A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.
Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:
A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.
Even if not mandatory, you may want to consider writing a thesis if you:
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.
George, T. (2024, April 16). What Is a Thesis? | Ultimate Guide & Examples. Scribbr. Retrieved June 10, 2024, from https://www.scribbr.com/dissertation/thesis/
Other students also liked, dissertation & thesis outline | example & free templates, writing strong research questions | criteria & examples, 10 research question examples to guide your research project, what is your plagiarism score.
Numbers, Facts and Trends Shaping Your World
Read our research on:
Full Topic List
Read Our Research On:
Over the past two years, the official count of coronavirus deaths in the United States has risen and is now approaching 1 million lives. Large majorities of Americans say they personally know someone who has been hospitalized or died of the coronavirus , and it has impacted – in varying degrees – nearly every aspect of life .
A new Pew Research Center analysis of official reports of COVID-19-related deaths across the country, based on mortality data collected by The New York Times, shows how the dynamics of the pandemic have shifted over the past two years.
Pew Research Center conducted this analysis to understand how the geography of the coronavirus outbreak has changed over its course. For this analysis, we relied on official reports of deaths attributed to the novel coronavirus collected and maintained by The New York Times .
The estimates provided in this report are subject to several sources of error. There may be significant differences between the true number of deaths due to COVID-19 and the official reported counts of those deaths. There may also be variation across the states in the quality and types of data reported. For example, most states report deaths based on the residency of the deceased person rather than the location where they died. The New York Times collects data from many different local health agencies, and this likely leads to some additional measurement error.
This analysis relies on county-level data. Counties in the United States vary widely in their population sizes, so in many places in the essay, we divide counties into approximately equal-sized groups (in terms of their population) for comparability or report on population adjusted death rates rather than total counts of deaths.
The pandemic has rolled across the U.S. unevenly and in waves. Today, the death toll of the pandemic looks very different from how it looked in the early part of 2020 . The first wave (roughly the first 125,000 deaths from March 2020 through June 2020) was largely geographically concentrated in the Northeast and in particular the New York City region. During the summer of 2020, the largest share of the roughly 80,000 deaths that occurred during the pandemic’s second wave were in the southern parts of the country.
The fall and winter months of 2020 and early 2021 were the deadliest of the pandemic to date. More than 370,000 Americans died of COVID-19 between October 2020 and April 2021; the geographic distinctions that characterized the earlier waves became much less pronounced.
By the spring and summer of 2021, the nationwide death rate had slowed significantly, and vaccines were widely available to all adults who wanted them. But starting at the end of the summer, the fourth and fifth waves (marked by new variants of the virus, delta and then omicron) came in quick succession and claimed more than 300,000 lives.
In many cases, the characteristics of communities that were associated with higher death rates at the beginning of the pandemic are now associated with lower death rates (and vice versa). Early in the pandemic, urban areas were disproportionately impacted. During the first wave, the coronavirus death rate in the 10% of the country that lives in the most densely populated counties was more than nine times that of the death rate among the 10% of the population living in the least densely populated counties. In each subsequent wave, however, the nation’s least dense counties have registered higher death rates than the most densely populated places.
Despite the staggering death toll in densely populated urban areas during the first months of the pandemic (an average 36 monthly deaths per 100,000 residents), the overall death rate over the course of the pandemic is slightly higher in the least populated parts of the country (an average monthly 15 deaths per 100,000 among the 10% living in the least densely populated counties vs. 13 per 100,000 among the 10% in the most densely populated counties).
As the relationship between population density and coronavirus death rates has changed over the course of the pandemic, so too has the relationship between counties’ voting patterns and their death rates from COVID-19.
In the spring of 2020, the areas recording the greatest numbers of deaths were much more likely to vote Democratic than Republican. But by the third wave of the pandemic, which began in fall 2020, the pattern had reversed: Counties that voted for Donald Trump over Joe Biden were suffering substantially more deaths from the coronavirus pandemic than those that voted for Biden over Trump. This reversal is likely a result of several factors including differences in mitigation efforts and vaccine uptake, demographic differences, and other differences that are correlated with partisanship at the county level.
During this third wave – which continued into early 2021 – the coronavirus death rate among the 20% of Americans living in counties that supported Trump by the highest margins in 2020 was about 170% of the death rate among the one-in-five Americans living in counties that supported Biden by the largest margins.
As vaccines became more widely available, this discrepancy between “blue” and “red” counties became even larger as the virulent delta strain of the pandemic spread across the country during the summer and fall of 2021, even as the total number of deaths fell somewhat from its third wave peak.
During the fourth wave of the pandemic, death rates in the most pro-Trump counties were about four times what they were in the most pro-Biden counties. When the highly transmissible omicron variant began to spread in the U.S. in late 2021, these differences narrowed substantially. However, death rates in the most pro-Trump counties were still about 180% of what they were in the most pro-Biden counties throughout late 2021 and early 2022.
The cumulative impact of these divergent death rates is a wide difference in total deaths from COVID-19 between the most pro-Trump and most pro-Biden parts of the country. Since the pandemic began, counties representing the 20% of the population where Trump ran up his highest margins in 2020 have experienced nearly 70,000 more deaths from COVID-19 than have the counties representing the 20% of population where Biden performed best. Overall, the COVID-19 death rate in all c ounties Trump won in 2020 is substantially higher than it is in counties Biden won (as of the end of February 2022, 326 per 100,000 in Trump counties and 258 per 100,000 in Biden counties).
Partisan differences in COVID-19 death rates expanded dramatically after the availability of vaccines increased. Unvaccinated people are at far higher risk of death and hospitalization from COVID-19, according to the Centers for Disease Control and Prevention, and vaccination decisions are strongly associated with partisanship . Among the large majority of counties for which reliable vaccination data exists, counties that supported Trump at higher margins have substantially lower vaccination rates than those that supported Biden at higher margins.
Counties with lower rates of vaccination registered substantially greater death rates during each wave in which vaccines were widely available.
During the fall of 2021 (roughly corresponding to the delta wave), about 10% of Americans lived in counties with adult vaccination rates lower than 40% as of July 2021. Death rates in these low-vaccination counties were about six times as high as death rates in counties where 70% or more of the adult population was vaccinated.
More Americans were vaccinated heading into the winter of 2021 and 2022 (roughly corresponding to the omicron wave), but nearly 10% of the country lived in areas where less than half of the adult population was vaccinated as of November 2021. Death rates in these low-vaccination counties were roughly twice what they were in counties that had 80% or more of their population vaccinated. ( Note: The statistics here reflect the death rates in the county as a whole, not rates for vaccinated and unvaccinated individuals, though individual-level data finds that death rates among unvaccinated people are far higher than among vaccinated people.)
This analysis relies on official reports of deaths attributed to COVID-19 in the United States collected and reported by The New York Times .
COVID-19 deaths in Puerto Rico and other U.S. territories are not included in this analysis. Additionally, deaths without a specific geographic location have been excluded.
Data was pulled from the GitHub repository maintained by The New York Times on March 1, 2022, and reflects reported coronavirus deaths through Feb. 28.
There are several anomalies in the deaths data. Many locales drop off their reporting on the weekends and holidays. In addition to the rhythm of the reporting cycle, there are many instances where a locality will revise the count of its deaths downward (usually only by a small amount) or release a large batch of previously unreported deaths on a single day. The downward revisions were identified and retroactively applied to earlier days.
Large batches of cases were identified by finding days that increased by more than 10 deaths and were 10 standard deviations above the norm for a county within a 30-day window. Deaths reported in these anomalous batches were then evenly distributed across the days leading up to when they were released.
Population data for U.S. counties comes from the 2015-2019 American Community Survey estimates published by the Census Bureau (accessed through the tidycensus package in R on Feb. 21). The 2020 vote share for each county was purchased from Dave Leip’s Election Atlas (downloaded on Nov. 21, 2021).
The analysis looks at deaths among counties based on their 2020 vote. Counties were grouped into five groups with approximately equal population. For analyses that include 2020 vote, Alaskan counties are excluded because Alaska does not report its election results at the county level. The table below provides more details.
This essay benefited greatly from thoughtful comments and consultation with many individuals around Pew Research Center. Jocelyn Kiley, Carroll Doherty and Jeb Bell provided invaluable editorial guidance. Peter Bell and Alissa Scheller contributed their expertise in visualization, Ben Wormald built the map animation, and Reem Nadeem did the digital production. Andrew Daniller provided careful attention to the quality check process, and David Kent’s watchful copy editing eye brought clarity to some difficult concepts.
Lead photo: Kent Nishimura/Los Angeles Times via Getty Images
1615 L St. NW, Suite 800 Washington, DC 20036 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 | Media Inquiries
ABOUT PEW RESEARCH CENTER Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .
© 2024 Pew Research Center
Advertisement
Subscriber-only Newsletter
Applying to college here’s how a.i. tools might hurt, or help..
ChatGPT might change the application essay forever.
By Natasha Singer
I spent the last week talking with university officials, teachers and high school seniors about the dreaded college admissions essay.
I cover education technology at The Times. And I’ve been thinking a lot about how artificial intelligence tools like ChatGPT, which can manufacture school essays and other texts, might reshape the college application process.
I was particularly interested to learn whether admissions officials were rejiggering their essay questions — or even reconsidering personal essays altogether.
Amid a deluge of high school transcripts and teacher recommendations, admissions officers often use students’ writing samples to identify applicants with unique voices, experiences, ideas and potential. How might that change now that many students are using A.I. chatbots to brainstorm topics, generate rough drafts and hone their essays?
To find out, I contacted admissions officials at more than a dozen large state universities, Ivy League schools and small private colleges, including Juan Espinoza , the director of undergraduate admissions at Virginia Tech.
Right now, he told me, many universities are still trying to figure out how the A.I. technologies work and what they mean for the admissions process.
We are having trouble retrieving the article content.
Please enable JavaScript in your browser settings.
Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.
Thank you for your patience while we verify access.
Already a subscriber? Log in .
Want all of The Times? Subscribe .
Advertisement
In any scientific research, there are typically two variables of interest: independent variables and dependent variables. In forming the backbone of scientific experiments , they help scientists understand relationships, predict outcomes and, in general, make sense of the factors that they're investigating.
Understanding the independent variable vs. dependent variable is so fundamental to scientific research that you need to have a good handle on both if you want to design your own research study or interpret others' findings.
To grasp the distinction between the two, let's delve into their definitions and roles.
What is a dependent variable, research study example, predictor variables vs. outcome variables, other variables, the relationship between independent and dependent variables.
The independent variable, often denoted as X, is the variable that is manipulated or controlled by the researcher intentionally. It's the factor that researchers believe may have a causal effect on the dependent variable.
In simpler terms, the independent variable is the variable you change or vary in an experiment so you can observe its impact on the dependent variable.
The dependent variable, often represented as Y, is the variable that is observed and measured to determine the outcome of the experiment.
In other words, the dependent variable is the variable that is affected by the changes in the independent variable. The values of the dependent variable always depend on the independent variable.
Let's consider an example to illustrate these concepts. Imagine you're conducting a research study aiming to investigate the effect of studying techniques on test scores among students.
In this scenario, the independent variable manipulated would be the studying technique, which you could vary by employing different methods, such as spaced repetition, summarization or practice testing.
The dependent variable, in this case, would be the test scores of the students. As the researcher following the scientific method , you would manipulate the independent variable (the studying technique) and then measure its impact on the dependent variable (the test scores).
You can also categorize variables as predictor variables or outcome variables. Sometimes a researcher will refer to the independent variable as the predictor variable since they use it to predict or explain changes in the dependent variable, which is also known as the outcome variable.
When conducting an experiment or study, it's crucial to acknowledge the presence of other variables, or extraneous variables, which may influence the outcome of the experiment but are not the focus of study.
These variables can potentially confound the results if they aren't controlled. In the example from above, other variables might include the students' prior knowledge, level of motivation, time spent studying and preferred learning style.
As a researcher, it would be your goal to control these extraneous variables to ensure you can attribute any observed differences in the dependent variable to changes in the independent variable. In practice, however, it's not always possible to control every variable.
The distinction between independent and dependent variables is essential for designing and conducting research studies and experiments effectively.
By manipulating the independent variable and measuring its impact on the dependent variable while controlling for other factors, researchers can gain insights into the factors that influence outcomes in their respective fields.
Whether investigating the effects of a new drug on blood pressure or studying the relationship between socioeconomic factors and academic performance, understanding the role of independent and dependent variables is essential for advancing knowledge and making informed decisions.
Understanding the relationship between independent and dependent variables is essential for making sense of research findings. Depending on the nature of this relationship, researchers may identify correlations or infer causation between the variables.
Correlation implies that changes in one variable are associated with changes in another variable, while causation suggests that changes in the independent variable directly cause changes in the dependent variable.
In experimental research, the researcher has control over the independent variable, allowing them to manipulate it to observe its effects on the dependent variable. This controlled manipulation distinguishes experiments from other types of research designs.
For example, in observational studies, researchers merely observe variables without intervention, meaning they don't control or manipulate any variables.
Whether it's intentional or unintentional, independent, dependent and other variables can vary in different contexts, and their effects may differ based on various factors, such as age, characteristics of the participants, environmental influences and so on.
Researchers employ statistical analysis techniques to measure and analyze the relationships between these variables, helping them to draw meaningful conclusions from their data.
We created this article in conjunction with AI technology, then made sure it was fact-checked and edited by a HowStuffWorks editor.
Please copy/paste the following text to properly cite this HowStuffWorks.com article:
Help | Advanced Search
Title: rag vs fine-tuning: pipelines, tradeoffs, and a case study on agriculture.
Abstract: There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation (RAG) and Fine-Tuning. RAG augments the prompt with the external data, while fine-Tuning incorporates the additional knowledge into the model itself. However, the pros and cons of both approaches are not well understood. In this paper, we propose a pipeline for fine-tuning and RAG, and present the tradeoffs of both for multiple popular LLMs, including Llama2-13B, GPT-3.5, and GPT-4. Our pipeline consists of multiple stages, including extracting information from PDFs, generating questions and answers, using them for fine-tuning, and leveraging GPT-4 for evaluating the results. We propose metrics to assess the performance of different stages of the RAG and fine-Tuning pipeline. We conduct an in-depth study on an agricultural dataset. Agriculture as an industry has not seen much penetration of AI, and we study a potentially disruptive application - what if we could provide location-specific insights to a farmer? Our results show the effectiveness of our dataset generation pipeline in capturing geographic-specific knowledge, and the quantitative and qualitative benefits of RAG and fine-tuning. We see an accuracy increase of over 6 p.p. when fine-tuning the model and this is cumulative with RAG, which increases accuracy by 5 p.p. further. In one particular experiment, we also demonstrate that the fine-tuned model leverages information from across geographies to answer specific questions, increasing answer similarity from 47% to 72%. Overall, the results point to how systems built using LLMs can be adapted to respond and incorporate knowledge across a dimension that is critical for a specific industry, paving the way for further applications of LLMs in other industrial domains.
Subjects: | Computation and Language (cs.CL); Machine Learning (cs.LG) |
Cite as: | [cs.CL] |
(or [cs.CL] for this version) | |
Focus to learn more arXiv-issued DOI via DataCite |
Access paper:.
Code, data and media associated with this article, recommenders and search tools.
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 .
Confirmation biases in selective exposure to political online information: source bias vs. content bias, differential susceptibility to media effects model, lavaan: an r package for structural equation modeling, uses and gratifications research, choice and preference in media use : advances in selective exposure theory and research, jugend - medien - extremismus, related papers.
Showing 1 through 3 of 0 Related Papers
With cloud computing, organizations essentially buy a range of services offered by cloud service providers (CSPs). The CSP’s servers host all the client’s applications. Organizations can enhance their computing power more quickly and cheaply via the cloud than by purchasing, installing, and maintaining their own servers.
The cloud-computing model is helping organizations to scale new digital solutions with greater speed and agility—and to create value more quickly. Developers use cloud services to build and run custom applications and to maintain infrastructure and networks for companies of virtually all sizes—especially large global ones. CSPs offer services, such as analytics, to handle and manipulate vast amounts of data. Time to market accelerates, speeding innovation to deliver better products and services across the world.
Get to know and directly engage with senior mckinsey experts on cloud computing.
Brant Carson is a senior partner in McKinsey’s Vancouver office; Chandra Gnanasambandam and Anand Swaminathan are senior partners in the Bay Area office; William Forrest is a senior partner in the Chicago office; Leandro Santos is a senior partner in the Atlanta office; Kate Smaje is a senior partner in the London office.
Cloud computing came on the scene well before the global pandemic hit, in 2020, but the ensuing digital dash helped demonstrate its power and utility. Here are some examples of how businesses and other organizations employ the cloud:
That’s not to mention experiences we all take for granted: using apps on a smartphone, streaming shows and movies, participating in videoconferences. All of these things can happen in the cloud.
Learn more about our Cloud by McKinsey , Digital McKinsey , and Technology, Media, & Telecommunications practices.
Going back a few years, legacy infrastructure dominated IT-hosting budgets. Enterprises planned to move a mere 45 percent of their IT-hosting expenditures to the cloud by 2021. Enter COVID-19, and 65 percent of the decision makers surveyed by McKinsey increased their cloud budgets . An additional 55 percent ended up moving more workloads than initially planned. Having witnessed the cloud’s benefits firsthand, 40 percent of companies expect to pick up the pace of implementation.
The cloud revolution has actually been going on for years—more than 20, if you think the takeoff point was the founding of Salesforce, widely seen as the first software as a service (SaaS) company. Today, the next generation of cloud, including capabilities such as serverless computing, makes it easier for software developers to tweak software functions independently, accelerating the pace of release, and to do so more efficiently. Businesses can therefore serve customers and launch products in a more agile fashion. And the cloud continues to evolve.
Cost savings are commonly seen as the primary reason for moving to the cloud but managing those costs requires a different and more dynamic approach focused on OpEx rather than CapEx. Financial-operations (or FinOps) capabilities can indeed enable the continuous management and optimization of cloud costs . But CSPs have developed their offerings so that the cloud’s greatest value opportunity is primarily through business innovation and optimization. In 2020, the top-three CSPs reached $100 billion in combined revenues—a minor share of the global $2.4 trillion market for enterprise IT services—leaving huge value to be captured. To go beyond merely realizing cost savings, companies must activate three symbiotic rings of cloud value creation : strategy and management, business domain adoption, and foundational capabilities.
The pandemic demonstrated that the digital transformation can no longer be delayed—and can happen much more quickly than previously imagined. Nothing is more critical to a corporate digital transformation than becoming a cloud-first business. The benefits are faster time to market, simplified innovation and scalability, and reduced risk when effectively managed. The cloud lets companies provide customers with novel digital experiences—in days, not months—and delivers analytics absent on legacy platforms. But to transition to a cloud-first operating model, organizations must make a collective effort that starts at the top. Here are three actions CEOs can take to increase the value their companies get from cloud computing :
Fortune 500 companies adopting the cloud could realize more than $1 trillion in value by 2030, and not from IT cost reductions alone, according to McKinsey’s analysis of 700 use cases.
For example, the cloud speeds up design, build, and ramp-up, shortening time to market when companies have strong DevOps (the combination of development and operations) processes in place; groups of software developers customize and deploy software for operations that support the business. The cloud’s global infrastructure lets companies scale products almost instantly to reach new customers, geographies, and channels. Finally, digital-first companies use the cloud to adopt emerging technologies and innovate aggressively, using digital capabilities as a competitive differentiator to launch and build businesses .
If companies pursue the cloud’s vast potential in the right ways, they will realize huge value. Companies across diverse industries have implemented the public cloud and seen promising results. The successful ones defined a value-oriented strategy across IT and the business, acquired hands-on experience operating in the cloud, adopted a technology-first approach, and developed a cloud-literate workforce.
Learn more about our Cloud by McKinsey and Digital McKinsey practices.
Some cloud services, such as server space, are leased. Leasing requires much less capital up front than buying, offers greater flexibility to switch and expand the use of services, cuts the basic cost of buying hardware and software upfront, and reduces the difficulties of upkeep and ownership. Organizations pay only for the infrastructure and computing services that meet their evolving needs. But an outsourcing model is more apt than other analogies: the computing business issues of cloud customers are addressed by third-party providers that deliver innovative computing services on demand to a wide variety of customers, adapt those services to fit specific needs, and work to constantly improve the offering.
The cloud offers huge cost savings and potential for innovation. However, when companies migrate to the cloud, the simple lift-and-shift approach doesn’t reduce costs, so companies must remediate their existing applications to take advantage of cloud services.
For instance, a major financial-services organization wanted to move more than 50 percent of its applications to the public cloud within five years. Its goals were to improve resiliency, time to market, and productivity. But not all its business units needed to transition at the same pace. The IT leadership therefore defined varying adoption archetypes to meet each unit’s technical, risk, and operating-model needs.
Legacy cybersecurity architectures and operating models can also pose problems when companies shift to the cloud. The resulting problems, however, involve misconfigurations rather than inherent cloud security vulnerabilities. One powerful solution? Securing cloud workloads for speed and agility : automated security architectures and processes enable workloads to be processed at a much faster tempo.
The talent demands of the cloud differ from those of legacy IT. While cloud computing can improve the productivity of your technology, it requires specialized and sometimes hard-to-find talent—including full-stack developers, data engineers, cloud-security engineers, identity- and access-management specialists, and cloud engineers. The cloud talent model should thus be revisited as you move forward.
Six practical actions can help your organization build the cloud talent you need :
Different industries are expected to see dramatically different benefits from the cloud. High-tech, retail, and healthcare organizations occupy the top end of the value capture continuum. Electronics and semiconductors, consumer-packaged-goods, and media companies make up the middle. Materials, chemicals, and infrastructure organizations cluster at the lower end.
Nevertheless, myriad use cases provide opportunities to unlock value across industries , as the following examples show:
The cloud is evolving to meet the industry-specific needs of companies. From 2021 to 2024, public-cloud spending on vertical applications (such as warehouse management in retailing and enterprise risk management in banking) is expected to grow by more than 40 percent annually. Spending on horizontal workloads (such as customer relationship management) is expected to grow by 25 percent. Healthcare and manufacturing organizations, for instance, plan to spend around twice as much on vertical applications as on horizontal ones.
Learn more about our Cloud by McKinsey , Digital McKinsey , Financial Services , Healthcare Systems & Services , Retail , and Technology, Media, & Telecommunications practices.
Views on cloud computing can be clouded by misconceptions. Here are seven common myths about the cloud —all of which can be debunked:
Here’s one more huge misconception: the cloud is just for big multinational companies. In fact, cloud can help make small local companies become multinational. A company’s benefits from implementing the cloud are not constrained by its size. In fact, the cloud shifts barrier to entry skill rather than scale, making it possible for a company of any size to compete if it has people with the right skills. With cloud, highly skilled small companies can take on established competitors. To realize the cloud’s immense potential value fully, organizations must take a thoughtful approach, with IT and the businesses working together.
For more in-depth exploration of these topics, see McKinsey’s Cloud Insights collection. Learn more about Cloud by McKinsey —and check out cloud-related job opportunities if you’re interested in working at McKinsey.
Articles referenced include:
Related articles.
IMAGES
VIDEO
COMMENTS
An essay is a focused piece of writing designed to inform or persuade. There are many different types of essay, but they are often defined in four categories: argumentative, expository, narrative, and descriptive essays. Argumentative and expository essays are focused on conveying information and making clear points, while narrative and ...
build ideas and write papers. - The Writing Process: These features show all the steps taken to write a paper, allowing you to follow it from initial idea to published article. - Into the Essay: Excerpts from actual papers show the ideas from the chapters in action because you learn to write best by getting
The output of research can take various forms, including scientific papers, patents, policy recommendations, or technological advancements. Research findings are typically shared with the academic community and the public, aiming to advance knowledge and improve society. Study, on the other hand, focuses more on personal development and learning.
This essay is a study of the relationship between two or more events or experiences. The essay could discuss both causes and effects, or it could simply address one or the other. A cause essay usually discusses the reasons why something happened. An effect essay discusses what happens after a specific event or circumstance.
Academic writing is a formal style of writing used in universities and scholarly publications. You'll encounter it in journal articles and books on academic topics, and you'll be expected to write your essays, research papers, and dissertation in academic style. Academic writing follows the same writing process as other types of texts, but ...
The Point of it All. In short, an essay displays your knowledge on a subject while an exam tests that knowledge. For an essay, a single question or topic is explored in full, and the best essays go deeply into the topic at hand to explore it from multiple angles and using many different pieces of background information as sources to support ...
The biggest difference between a research paper and an essay is that a research paper must have a strict methodology and set of study objectives. A research paper should outline a problem and the approaches that can be used to solve it effectively. Meanwhile, an essay can present a personal opinion without any references.
See Prices. You may have heard of the four essay types before: discursive, persuasive, narrative, and descriptive. It's important to know exactly what type of essay your assignment falls into - even before you start the planning and research. The essay type affects how you structure your essay, your writing style, the tone, the techniques ...
The basic structure of an essay always consists of an introduction, a body, and a conclusion. But for many students, the most difficult part of structuring an essay is deciding how to organize information within the body. This article provides useful templates and tips to help you outline your essay, make decisions about your structure, and ...
An academic essay is a piece of writing in which you present your position on a topic, and support that position by evidence. An essay has three main parts: introduction, body, and conclusion. In the introduction, you put forward your position (this can take the form of a question or an argument) and its relevance to the chosen topic. In the ...
The main difference is in terms of scale - a dissertation is usually much longer than the other essays you complete during your degree. Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic, and you have to conduct the research and write the dissertation ...
A. As basketball star Charles Barkley stated in a famous advertising campaign for Nike, he was paid to dominate on the basketball court, not to raise your kids. Many celebrities do consider themselves responsible for setting a good example and create non-profit organizations through which they can benefit youths. B.
Essays don't usually include tables, charts, or diagrams. Reports usually include descriptions of the methods used. Essays don't usually refer to the methods you used to arrive at your conclusions. The discussion in a report often comments on how the report research could be improved and extended, and may evaluate the methods and processes used.
Research work is the depth of study of a selected scientific topic, which should bring scientific novelty by drawing conclusions based on existing research and experiments conducted. For students, it's not enough to state the facts or express their point of view regarding the topic. ... Essay vs Research Paper: 10 Points of Difference.
Verb. (usually, academic) To revise materials already learned in order to make sure one does not forget them, usually in preparation for an examination. Students are expected to start studying for final exams in March. I need to study my biology notes. (academic) To take a course or courses on a subject.
In a study published in January 2013 Anne Mangen of the University of Stavanger in Norway and her colleagues asked 72 10th-grade students of similar reading ability to study one narrative and one ...
Audience. While both essays and case studies are pieces of writing meant to inform others, an essay can inform anyone on a topic, while the audience for a case study will be limited to social or life science colleagues or researchers in those fields. The difference between an essay and a case study.
There is no definitive distinction between papers and articles that can be applied to all scientific disciplines. Usage varies between disciplines. and within disciplines it can vary depending on context. Both the examples quoted refer to 'writings' that are surveys (in other areas often termed reviews) — one in the field of a social science (economics) and the other in a numerical ...
An average essay is anywhere from one to five pages long. Five to seven paragraphs, including the introduction and conclusion paragraphs, are sufficient for an essay, although some are longer. The average thesis for an undergraduate writer is 40 to 60 pages long and an average graduate or doctoral thesis is between 60 to 100 pages.
The following ideas work well for compare-contrast essays. ( Find 80+ compare-contrast essay topics for all ages here.) Public and private schools. Capitalism vs. communism. Monarchy or democracy. Dogs vs. cats as pets. WeAreTeachers. Paper books or e-books. Two political candidates in a current race.
A history research paper uses primary sources to argue how and why events occurred in the past, as well as the impact on human lives. A historiography, on the other hand, uses published research ...
Adobe Captivate Slide 2 - Introduction Text Captions: Introduction There are two types of illustration essays: single-example and multiple-example. Both structures operate in nearly the same way; the differences are (1) the way that the thesis statement is written and (2) the way that illustrations are used within the body paragraphs.
Revised on April 16, 2024. A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master's program or a capstone to a bachelor's degree. Writing a thesis can be a daunting experience. Other than a dissertation, it is one of the longest pieces of writing students typically complete.
During the summer of 2020, the largest share of the roughly 80,000 deaths that occurred during the pandemic's second wave were in the southern parts of the country. The fall and winter months of 2020 and early 2021 were the deadliest of the pandemic to date. More than 370,000 Americans died of COVID-19 between October 2020 and April 2021; the ...
Formal study for the exam generally begins the final semester of your third year of law school, but if you're working full-time or have other obligations outside of law school, it can begin earlier. Aim to study 400 to 600 hours for the bar exam. This can take 10 to 16 40-hour weeks of studying. Alternatively, if you can only study 10 hours a ...
An applicant who submitted a chatbot-generated essay, they said, would violate the university's admissions policy. The Yale experts also argued that personal essays for college applications were ...
The independent variable, often denoted as X, is the variable that is manipulated or controlled by the researcher intentionally. It's the factor that researchers believe may have a causal effect on the dependent variable. In simpler terms, the independent variable is the variable you change or vary in an experiment so you can observe its impact ...
RAG augments the prompt with the external data, while fine-Tuning incorporates the additional knowledge into the model itself. However, the pros and cons of both approaches are not well understood. In this paper, we propose a pipeline for fine-tuning and RAG, and present the tradeoffs of both for multiple popular LLMs, including Llama2-13B, GPT ...
Social media influencers (SMIs) are defined as regular individuals who become well-known via self-branding on social media. Youth use content posted by SMIs not just for entertainment, but also for political information. However, we know little about which groups of young people are most likely to be exposed to their political messages or why some youth seem to favor SMIs' political ...
Organizations can enhance their computing power more quickly and cheaply via the cloud than by purchasing, installing, and maintaining their own servers. The cloud-computing model is helping organizations to scale new digital solutions with greater speed and agility—and to create value more quickly. Developers use cloud services to build and ...