how to write an scientific method essay

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Successful Scientific Writing and Publishing: A Step-by-Step Approach

John k. iskander.

1 Centers for Disease Control and Prevention, Atlanta, Georgia

Sara Beth Wolicki

2 Association of Schools and Programs of Public Health, Washington, District of Columbia

Rebecca T. Leeb

Paul z. siegel.

Scientific writing and publication are essential to advancing knowledge and practice in public health, but prospective authors face substantial challenges. Authors can overcome barriers, such as lack of understanding about scientific writing and the publishing process, with training and resources. The objective of this article is to provide guidance and practical recommendations to help both inexperienced and experienced authors working in public health settings to more efficiently publish the results of their work in the peer-reviewed literature. We include an overview of basic scientific writing principles, a detailed description of the sections of an original research article, and practical recommendations for selecting a journal and responding to peer review comments. The overall approach and strategies presented are intended to contribute to individual career development while also increasing the external validity of published literature and promoting quality public health science.

Introduction

Publishing in the peer-reviewed literature is essential to advancing science and its translation to practice in public health ( 1 , 2 ). The public health workforce is diverse and practices in a variety of settings ( 3 ). For some public health professionals, writing and publishing the results of their work is a requirement. Others, such as program managers, policy makers, or health educators, may see publishing as being outside the scope of their responsibilities ( 4 ).

Disseminating new knowledge via writing and publishing is vital both to authors and to the field of public health ( 5 ). On an individual level, publishing is associated with professional development and career advancement ( 6 ). Publications share new research, results, and methods in a trusted format and advance scientific knowledge and practice ( 1 , 7 ). As more public health professionals are empowered to publish, the science and practice of public health will advance ( 1 ).

Unfortunately, prospective authors face barriers to publishing their work, including navigating the process of scientific writing and publishing, which can be time-consuming and cumbersome. Often, public health professionals lack both training opportunities and understanding of the process ( 8 ). To address these barriers and encourage public health professionals to publish their findings, the senior author (P.Z.S.) and others developed Successful Scientific Writing (SSW), a course about scientific writing and publishing. Over the past 30 years, this course has been taught to thousands of public health professionals, as well as hundreds of students at multiple graduate schools of public health. An unpublished longitudinal survey of course participants indicated that two-thirds agreed that SSW had helped them to publish a scientific manuscript or have a conference abstract accepted. The course content has been translated into this manuscript. The objective of this article is to provide prospective authors with the tools needed to write original research articles of high quality that have a good chance of being published.

Basic Recommendations for Scientific Writing

Prospective authors need to know and tailor their writing to the audience. When writing for scientific journals, 4 fundamental recommendations are: clearly stating the usefulness of the study, formulating a key message, limiting unnecessary words, and using strategic sentence structure.

To demonstrate usefulness, focus on how the study addresses a meaningful gap in current knowledge or understanding. What critical piece of information does the study provide that will help solve an important public health problem? For example, if a particular group of people is at higher risk for a specific condition, but the magnitude of that risk is unknown, a study to quantify the risk could be important for measuring the population’s burden of disease.

Scientific articles should have a clear and concise take-home message. Typically, this is expressed in 1 to 2 sentences that summarize the main point of the paper. This message can be used to focus the presentation of background information, results, and discussion of findings. As an early step in the drafting of an article, we recommend writing out the take-home message and sharing it with co-authors for their review and comment. Authors who know their key point are better able to keep their writing within the scope of the article and present information more succinctly. Once an initial draft of the manuscript is complete, the take-home message can be used to review the content and remove needless words, sentences, or paragraphs.

Concise writing improves the clarity of an article. Including additional words or clauses can divert from the main message and confuse the reader. Additionally, journal articles are typically limited by word count. The most important words and phrases to eliminate are those that do not add meaning, or are duplicative. Often, cutting adjectives or parenthetical statements results in a more concise paper that is also easier to read.

Sentence structure strongly influences the readability and comprehension of journal articles. Twenty to 25 words is a reasonable range for maximum sentence length. Limit the number of clauses per sentence, and place the most important or relevant clause at the end of the sentence ( 9 ). Consider the sentences:

• By using these tips and tricks, an author may write and publish an additional 2 articles a year.
• An author may write and publish an additional 2 articles a year by using these tips and tricks.

The focus of the first sentence is on the impact of using the tips and tricks, that is, 2 more articles published per year. In contrast, the second sentence focuses on the tips and tricks themselves.

Authors should use the active voice whenever possible. Consider the following example:

• Active voice: Authors who use the active voice write more clearly.
• Passive voice: Clarity of writing is promoted by the use of the active voice.

The active voice specifies who is doing the action described in the sentence. Using the active voice improves clarity and understanding, and generally uses fewer words. Scientific writing includes both active and passive voice, but authors should be intentional with their use of either one.

Sections of an Original Research Article

Original research articles make up most of the peer-reviewed literature ( 10 ), follow a standardized format, and are the focus of this article. The 4 main sections are the introduction, methods, results, and discussion, sometimes referred to by the initialism, IMRAD. These 4 sections are referred to as the body of an article. Two additional components of all peer-reviewed articles are the title and the abstract. Each section’s purpose and key components, along with specific recommendations for writing each section, are listed below.

Title. The purpose of a title is twofold: to provide an accurate and informative summary and to attract the target audience. Both prospective readers and database search engines use the title to screen articles for relevance ( 2 ). All titles should clearly state the topic being studied. The topic includes the who, what, when, and where of the study. Along with the topic, select 1 or 2 of the following items to include within the title: methods, results, conclusions, or named data set or study. The items chosen should emphasize what is new and useful about the study. Some sources recommend limiting the title to less than 150 characters ( 2 ). Articles with shorter titles are more frequently cited than articles with longer titles ( 11 ). Several title options are possible for the same study ( Figure ).

Two examples of title options for a single study.

Abstract . The abstract serves 2 key functions. Journals may screen articles for potential publication by using the abstract alone ( 12 ), and readers may use the abstract to decide whether to read further. Therefore, it is critical to produce an accurate and clear abstract that highlights the major purpose of the study, basic procedures, main findings, and principal conclusions ( 12 ). Most abstracts have a word limit and can be either structured following IMRAD, or unstructured. The abstract needs to stand alone from the article and tell the most important parts of the scientific story up front.

Introduction . The purpose of the introduction is to explain how the study sought to create knowledge that is new and useful. The introduction section may often require only 3 paragraphs. First, describe the scope, nature, or magnitude of the problem being addressed. Next, clearly articulate why better understanding this problem is useful, including what is currently known and the limitations of relevant previous studies. Finally, explain what the present study adds to the knowledge base. Explicitly state whether data were collected in a unique way or obtained from a previously unstudied data set or population. Presenting both the usefulness and novelty of the approach taken will prepare the reader for the remaining sections of the article.

Methods . The methods section provides the information necessary to allow others, given the same data, to recreate the analysis. It describes exactly how data relevant to the study purpose were collected, organized, and analyzed. The methods section describes the process of conducting the study — from how the sample was selected to which statistical methods were used to analyze the data. Authors should clearly name, define, and describe each study variable. Some journals allow detailed methods to be included in an appendix or supplementary document. If the analysis involves a commonly used public health data set, such as the Behavioral Risk Factor Surveillance System ( 13 ), general aspects of the data set can be provided to readers by using references. Because what was done is typically more important than who did it, use of the passive voice is often appropriate when describing methods. For example, “The study was a group randomized, controlled trial. A coin was tossed to select an intervention group and a control group.”

Results . The results section describes the main outcomes of the study or analysis but does not interpret the findings or place them in the context of previous research. It is important that the results be logically organized. Suggested organization strategies include presenting results pertaining to the entire population first, and then subgroup analyses, or presenting results according to increasing complexity of analysis, starting with demographic results before proceeding to univariate and multivariate analyses. Authors wishing to draw special attention to novel or unexpected results can present them first.

One strategy for writing the results section is to start by first drafting the figures and tables. Figures, which typically show trends or relationships, and tables, which show specific data points, should each support a main outcome of the study. Identify the figures and tables that best describe the findings and relate to the study’s purpose, and then develop 1 to 2 sentences summarizing each one. Data not relevant to the study purpose may be excluded, summarized briefly in the text, or included in supplemental data sets. When finalizing figures, ensure that axes are labeled and that readers can understand figures without having to refer to accompanying text.

Discussion . In the discussion section, authors interpret the results of their study within the context of both the related literature and the specific scientific gap the study was intended to fill. The discussion does not introduce results that were not presented in the results section. One way authors can focus their discussion is to limit this section to 4 paragraphs: start by reinforcing the study’s take-home message(s), contextualize key results within the relevant literature, state the study limitations, and lastly, make recommendations for further research or policy and practice changes. Authors can support assertions made in the discussion with either their own findings or by referencing related research. By interpreting their own study results and comparing them to others in the literature, authors can emphasize findings that are unique, useful, and relevant. Present study limitations clearly and without apology. Finally, state the implications of the study and provide recommendations or next steps, for example, further research into remaining gaps or changes to practice or policy. Statements or recommendations regarding policy may use the passive voice, especially in instances where the action to be taken is more important than who will implement the action.

Beginning the Writing Process

The process of writing a scientific article occurs before, during, and after conducting the study or analyses. Conducting a literature review is crucial to confirm the existence of the evidence gap that the planned analysis seeks to fill. Because literature searches are often part of applying for research funding or developing a study protocol, the citations used in the grant application or study proposal can also be used in subsequent manuscripts. Full-text databases such as PubMed Central ( 14 ), NIH RePORT ( 15 ), and CDC Stacks ( 16 ) can be useful when performing literature reviews. Authors should familiarize themselves with databases that are accessible through their institution and any assistance that may be available from reference librarians or interlibrary loan systems. Using citation management software is one way to establish and maintain a working reference list. Authors should clearly understand the distinction between primary and secondary references, and ensure that they are knowledgeable about the content of any primary or secondary reference that they cite.

Review of the literature may continue while organizing the material and writing begins. One way to organize material is to create an outline for the paper. Another way is to begin drafting small sections of the article such as the introduction. Starting a preliminary draft forces authors to establish the scope of their analysis and clearly articulate what is new and novel about the study. Furthermore, using information from the study protocol or proposal allows authors to draft the methods and part of the results sections while the study is in progress. Planning potential data comparisons or drafting “table shells” will help to ensure that the study team has collected all the necessary data. Drafting these preliminary sections early during the writing process and seeking feedback from co-authors and colleagues may help authors avoid potential pitfalls, including misunderstandings about study objectives.

The next step is to conduct the study or analyses and use the resulting data to fill in the draft table shells. The initial results will most likely require secondary analyses, that is, exploring the data in ways in addition to those originally planned. Authors should ensure that they regularly update their methods section to describe all changes to data analysis.

After completing table shells, authors should summarize the key finding of each table or figure in a sentence or two. Presenting preliminary results at meetings, conferences, and internal seminars is an established way to solicit feedback. Authors should pay close attention to questions asked by the audience, treating them as an informal opportunity for peer review. On the basis of the questions and feedback received, authors can incorporate revisions and improvements into subsequent drafts of the manuscript.

The relevant literature should be revisited periodically while writing to ensure knowledge of the most recent publications about the manuscript topic. Authors should focus on content and key message during the process of writing the first draft and should not spend too much time on issues of grammar or style. Drafts, or portions of drafts, should be shared frequently with trusted colleagues. Their recommendations should be reviewed and incorporated when they will improve the manuscript’s overall clarity.

For most authors, revising drafts of the manuscript will be the most time-consuming task involved in writing a paper. By regularly checking in with coauthors and colleagues, authors can adopt a systematic approach to rewriting. When the author has completed a draft of the manuscript, he or she should revisit the key take-home message to ensure that it still matches the final data and analysis. At this point, final comments and approval of the manuscript by coauthors can be sought.

Authors should then seek to identify journals most likely to be interested in considering the study for publication. Initial questions to consider when selecting a journal include:

• Which audience is most interested in the paper’s message?
• Would clinicians, public health practitioners, policy makers, scientists, or a broader audience find this useful in their field or practice?
• Do colleagues have prior experience submitting a manuscript to this journal?
• Is the journal indexed and peer-reviewed?
• Is the journal subscription or open-access and are there any processing fees?
• How competitive is the journal?

Authors should seek to balance the desire to be published in a top-tier journal (eg, Journal of the American Medical Association, BMJ, or Lancet) against the statistical likelihood of rejection. Submitting the paper initially to a journal more focused on the paper’s target audience may result in a greater chance of acceptance, as well as more timely dissemination of findings that can be translated into practice. Most of the 50 to 75 manuscripts published each week by authors from the Centers for Disease Control and Prevention (CDC) are published in specialty and subspecialty journals, rather than in top-tier journals ( 17 ).

The target journal’s website will include author guidelines, which will contain specific information about format requirements (eg, font, line spacing, section order, reference style and limit, table and figure formatting), authorship criteria, article types, and word limits for articles and abstracts.

We recommend returning to the previously drafted abstract and ensuring that it complies with the journal’s format and word limit. Authors should also verify that any changes made to the methods or results sections during the article’s drafting are reflected in the final version of the abstract. The abstract should not be written hurriedly just before submitting the manuscript; it is often apparent to editors and reviewers when this has happened. A cover letter to accompany the submission should be drafted; new and useful findings and the key message should be included.

Before submitting the manuscript and cover letter, authors should perform a final check to ensure that their paper complies with all journal requirements. Journals may elect to reject certain submissions on the basis of review of the abstract, or may send them to peer reviewers (typically 2 or 3) for consultation. Occasionally, on the basis of peer reviews, the journal will request only minor changes before accepting the paper for publication. Much more frequently, authors will receive a request to revise and resubmit their manuscript, taking into account peer review comments. Authors should recognize that while revise-and-resubmit requests may state that the manuscript is not acceptable in its current form, this does not constitute a rejection of the article. Authors have several options in responding to peer review comments:

• Performing additional analyses and updating the article appropriately
• Declining to perform additional analyses, but providing an explanation (eg, because the requested analysis goes beyond the scope of the article)
• Providing updated references
• Acknowledging reviewer comments that are simply comments without making changes

In addition to submitting a revised manuscript, authors should include a cover letter in which they list peer reviewer comments, along with the revisions they have made to the manuscript and their reply to the comment. The tone of such letters should be thankful and polite, but authors should make clear areas of disagreement with peer reviewers, and explain why they disagree. During the peer review process, authors should continue to consult with colleagues, especially ones who have more experience with the specific journal or with the peer review process.

There is no secret to successful scientific writing and publishing. By adopting a systematic approach and by regularly seeking feedback from trusted colleagues throughout the study, writing, and article submission process, authors can increase their likelihood of not only publishing original research articles of high quality but also becoming more scientifically productive overall.

Acknowledgments

The authors acknowledge PCD ’s former Associate Editor, Richard A. Goodman, MD, MPH, who, while serving as Editor in Chief of CDC’s Morbidity and Mortality Weekly Report Series, initiated a curriculum on scientific writing for training CDC’s Epidemic Intelligence Service Officers and other CDC public health professionals, and with whom the senior author of this article (P.Z.S.) collaborated in expanding training methods and contents, some of which are contained in this article. The authors acknowledge Juan Carlos Zevallos, MD, for his thoughtful critique and careful editing of previous Successful Scientific Writing materials. We also thank Shira Eisenberg for editorial assistance with the manuscript. This publication was supported by the Cooperative Agreement no. 1U360E000002 from CDC and the Association of Schools and Programs of Public Health. The findings and conclusions of this article do not necessarily represent the official views of CDC or the Association of Schools and Programs of Public Health. Names of journals and citation databases are provided for identification purposes only and do not constitute any endorsement by CDC.

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.

Suggested citation for this article: Iskander JK, Wolicki SB, Leeb RT, Siegel PZ. Successful Scientific Writing and Publishing: A Step-by-Step Approach. Prev Chronic Dis 2018;15:180085. DOI: https://doi.org/10.5888/pcd15.180085 .

Scientific Reports

What this handout is about.

This handout provides a general guide to writing reports about scientific research you’ve performed. In addition to describing the conventional rules about the format and content of a lab report, we’ll also attempt to convey why these rules exist, so you’ll get a clearer, more dependable idea of how to approach this writing situation. Readers of this handout may also find our handout on writing in the sciences useful.

Background and pre-writing

Why do we write research reports.

You did an experiment or study for your science class, and now you have to write it up for your teacher to review. You feel that you understood the background sufficiently, designed and completed the study effectively, obtained useful data, and can use those data to draw conclusions about a scientific process or principle. But how exactly do you write all that? What is your teacher expecting to see?

To take some of the guesswork out of answering these questions, try to think beyond the classroom setting. In fact, you and your teacher are both part of a scientific community, and the people who participate in this community tend to share the same values. As long as you understand and respect these values, your writing will likely meet the expectations of your audience—including your teacher.

So why are you writing this research report? The practical answer is “Because the teacher assigned it,” but that’s classroom thinking. Generally speaking, people investigating some scientific hypothesis have a responsibility to the rest of the scientific world to report their findings, particularly if these findings add to or contradict previous ideas. The people reading such reports have two primary goals:

• They want to gather the information presented.
• They want to know that the findings are legitimate.

Your job as a writer, then, is to fulfill these two goals.

How do I do that?

Good question. Here is the basic format scientists have designed for research reports:

• Introduction

Methods and Materials

This format, sometimes called “IMRAD,” may take slightly different shapes depending on the discipline or audience; some ask you to include an abstract or separate section for the hypothesis, or call the Discussion section “Conclusions,” or change the order of the sections (some professional and academic journals require the Methods section to appear last). Overall, however, the IMRAD format was devised to represent a textual version of the scientific method.

The scientific method, you’ll probably recall, involves developing a hypothesis, testing it, and deciding whether your findings support the hypothesis. In essence, the format for a research report in the sciences mirrors the scientific method but fleshes out the process a little. Below, you’ll find a table that shows how each written section fits into the scientific method and what additional information it offers the reader.

Thinking of your research report as based on the scientific method, but elaborated in the ways described above, may help you to meet your audience’s expectations successfully. We’re going to proceed by explicitly connecting each section of the lab report to the scientific method, then explaining why and how you need to elaborate that section.

Although this handout takes each section in the order in which it should be presented in the final report, you may for practical reasons decide to compose sections in another order. For example, many writers find that composing their Methods and Results before the other sections helps to clarify their idea of the experiment or study as a whole. You might consider using each assignment to practice different approaches to drafting the report, to find the order that works best for you.

What should I do before drafting the lab report?

The best way to prepare to write the lab report is to make sure that you fully understand everything you need to about the experiment. Obviously, if you don’t quite know what went on during the lab, you’re going to find it difficult to explain the lab satisfactorily to someone else. To make sure you know enough to write the report, complete the following steps:

• What are we going to do in this lab? (That is, what’s the procedure?)
• Why are we going to do it that way?
• What are we hoping to learn from this experiment?
• Why would we benefit from this knowledge?
• Consult your lab supervisor as you perform the lab. If you don’t know how to answer one of the questions above, for example, your lab supervisor will probably be able to explain it to you (or, at least, help you figure it out).
• Plan the steps of the experiment carefully with your lab partners. The less you rush, the more likely it is that you’ll perform the experiment correctly and record your findings accurately. Also, take some time to think about the best way to organize the data before you have to start putting numbers down. If you can design a table to account for the data, that will tend to work much better than jotting results down hurriedly on a scrap piece of paper.
• Record the data carefully so you get them right. You won’t be able to trust your conclusions if you have the wrong data, and your readers will know you messed up if the other three people in your group have “97 degrees” and you have “87.”
• Consult with your lab partners about everything you do. Lab groups often make one of two mistakes: two people do all the work while two have a nice chat, or everybody works together until the group finishes gathering the raw data, then scrams outta there. Collaborate with your partners, even when the experiment is “over.” What trends did you observe? Was the hypothesis supported? Did you all get the same results? What kind of figure should you use to represent your findings? The whole group can work together to answer these questions.
• Consider your audience. You may believe that audience is a non-issue: it’s your lab TA, right? Well, yes—but again, think beyond the classroom. If you write with only your lab instructor in mind, you may omit material that is crucial to a complete understanding of your experiment, because you assume the instructor knows all that stuff already. As a result, you may receive a lower grade, since your TA won’t be sure that you understand all the principles at work. Try to write towards a student in the same course but a different lab section. That student will have a fair degree of scientific expertise but won’t know much about your experiment particularly. Alternatively, you could envision yourself five years from now, after the reading and lectures for this course have faded a bit. What would you remember, and what would you need explained more clearly (as a refresher)?

Once you’ve completed these steps as you perform the experiment, you’ll be in a good position to draft an effective lab report.

Introductions

How do i write a strong introduction.

For the purposes of this handout, we’ll consider the Introduction to contain four basic elements: the purpose, the scientific literature relevant to the subject, the hypothesis, and the reasons you believed your hypothesis viable. Let’s start by going through each element of the Introduction to clarify what it covers and why it’s important. Then we can formulate a logical organizational strategy for the section.

The inclusion of the purpose (sometimes called the objective) of the experiment often confuses writers. The biggest misconception is that the purpose is the same as the hypothesis. Not quite. We’ll get to hypotheses in a minute, but basically they provide some indication of what you expect the experiment to show. The purpose is broader, and deals more with what you expect to gain through the experiment. In a professional setting, the hypothesis might have something to do with how cells react to a certain kind of genetic manipulation, but the purpose of the experiment is to learn more about potential cancer treatments. Undergraduate reports don’t often have this wide-ranging a goal, but you should still try to maintain the distinction between your hypothesis and your purpose. In a solubility experiment, for example, your hypothesis might talk about the relationship between temperature and the rate of solubility, but the purpose is probably to learn more about some specific scientific principle underlying the process of solubility.

For starters, most people say that you should write out your working hypothesis before you perform the experiment or study. Many beginning science students neglect to do so and find themselves struggling to remember precisely which variables were involved in the process or in what way the researchers felt that they were related. Write your hypothesis down as you develop it—you’ll be glad you did.

As for the form a hypothesis should take, it’s best not to be too fancy or complicated; an inventive style isn’t nearly so important as clarity here. There’s nothing wrong with beginning your hypothesis with the phrase, “It was hypothesized that . . .” Be as specific as you can about the relationship between the different objects of your study. In other words, explain that when term A changes, term B changes in this particular way. Readers of scientific writing are rarely content with the idea that a relationship between two terms exists—they want to know what that relationship entails.

Not a hypothesis:

“It was hypothesized that there is a significant relationship between the temperature of a solvent and the rate at which a solute dissolves.”

Hypothesis:

“It was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases.”

Put more technically, most hypotheses contain both an independent and a dependent variable. The independent variable is what you manipulate to test the reaction; the dependent variable is what changes as a result of your manipulation. In the example above, the independent variable is the temperature of the solvent, and the dependent variable is the rate of solubility. Be sure that your hypothesis includes both variables.

Justify your hypothesis

You need to do more than tell your readers what your hypothesis is; you also need to assure them that this hypothesis was reasonable, given the circumstances. In other words, use the Introduction to explain that you didn’t just pluck your hypothesis out of thin air. (If you did pluck it out of thin air, your problems with your report will probably extend beyond using the appropriate format.) If you posit that a particular relationship exists between the independent and the dependent variable, what led you to believe your “guess” might be supported by evidence?

Scientists often refer to this type of justification as “motivating” the hypothesis, in the sense that something propelled them to make that prediction. Often, motivation includes what we already know—or rather, what scientists generally accept as true (see “Background/previous research” below). But you can also motivate your hypothesis by relying on logic or on your own observations. If you’re trying to decide which solutes will dissolve more rapidly in a solvent at increased temperatures, you might remember that some solids are meant to dissolve in hot water (e.g., bouillon cubes) and some are used for a function precisely because they withstand higher temperatures (they make saucepans out of something). Or you can think about whether you’ve noticed sugar dissolving more rapidly in your glass of iced tea or in your cup of coffee. Even such basic, outside-the-lab observations can help you justify your hypothesis as reasonable.

Background/previous research

This part of the Introduction demonstrates to the reader your awareness of how you’re building on other scientists’ work. If you think of the scientific community as engaging in a series of conversations about various topics, then you’ll recognize that the relevant background material will alert the reader to which conversation you want to enter.

Generally speaking, authors writing journal articles use the background for slightly different purposes than do students completing assignments. Because readers of academic journals tend to be professionals in the field, authors explain the background in order to permit readers to evaluate the study’s pertinence for their own work. You, on the other hand, write toward a much narrower audience—your peers in the course or your lab instructor—and so you must demonstrate that you understand the context for the (presumably assigned) experiment or study you’ve completed. For example, if your professor has been talking about polarity during lectures, and you’re doing a solubility experiment, you might try to connect the polarity of a solid to its relative solubility in certain solvents. In any event, both professional researchers and undergraduates need to connect the background material overtly to their own work.

Organization of this section

Most of the time, writers begin by stating the purpose or objectives of their own work, which establishes for the reader’s benefit the “nature and scope of the problem investigated” (Day 1994). Once you have expressed your purpose, you should then find it easier to move from the general purpose, to relevant material on the subject, to your hypothesis. In abbreviated form, an Introduction section might look like this:

“The purpose of the experiment was to test conventional ideas about solubility in the laboratory [purpose] . . . According to Whitecoat and Labrat (1999), at higher temperatures the molecules of solvents move more quickly . . . We know from the class lecture that molecules moving at higher rates of speed collide with one another more often and thus break down more easily [background material/motivation] . . . Thus, it was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases [hypothesis].”

Again—these are guidelines, not commandments. Some writers and readers prefer different structures for the Introduction. The one above merely illustrates a common approach to organizing material.

How do I write a strong Materials and Methods section?

As with any piece of writing, your Methods section will succeed only if it fulfills its readers’ expectations, so you need to be clear in your own mind about the purpose of this section. Let’s review the purpose as we described it above: in this section, you want to describe in detail how you tested the hypothesis you developed and also to clarify the rationale for your procedure. In science, it’s not sufficient merely to design and carry out an experiment. Ultimately, others must be able to verify your findings, so your experiment must be reproducible, to the extent that other researchers can follow the same procedure and obtain the same (or similar) results.

Here’s a real-world example of the importance of reproducibility. In 1989, physicists Stanley Pons and Martin Fleischman announced that they had discovered “cold fusion,” a way of producing excess heat and power without the nuclear radiation that accompanies “hot fusion.” Such a discovery could have great ramifications for the industrial production of energy, so these findings created a great deal of interest. When other scientists tried to duplicate the experiment, however, they didn’t achieve the same results, and as a result many wrote off the conclusions as unjustified (or worse, a hoax). To this day, the viability of cold fusion is debated within the scientific community, even though an increasing number of researchers believe it possible. So when you write your Methods section, keep in mind that you need to describe your experiment well enough to allow others to replicate it exactly.

With these goals in mind, let’s consider how to write an effective Methods section in terms of content, structure, and style.

Sometimes the hardest thing about writing this section isn’t what you should talk about, but what you shouldn’t talk about. Writers often want to include the results of their experiment, because they measured and recorded the results during the course of the experiment. But such data should be reserved for the Results section. In the Methods section, you can write that you recorded the results, or how you recorded the results (e.g., in a table), but you shouldn’t write what the results were—not yet. Here, you’re merely stating exactly how you went about testing your hypothesis. As you draft your Methods section, ask yourself the following questions:

• How much detail? Be precise in providing details, but stay relevant. Ask yourself, “Would it make any difference if this piece were a different size or made from a different material?” If not, you probably don’t need to get too specific. If so, you should give as many details as necessary to prevent this experiment from going awry if someone else tries to carry it out. Probably the most crucial detail is measurement; you should always quantify anything you can, such as time elapsed, temperature, mass, volume, etc.
• Rationale: Be sure that as you’re relating your actions during the experiment, you explain your rationale for the protocol you developed. If you capped a test tube immediately after adding a solute to a solvent, why did you do that? (That’s really two questions: why did you cap it, and why did you cap it immediately?) In a professional setting, writers provide their rationale as a way to explain their thinking to potential critics. On one hand, of course, that’s your motivation for talking about protocol, too. On the other hand, since in practical terms you’re also writing to your teacher (who’s seeking to evaluate how well you comprehend the principles of the experiment), explaining the rationale indicates that you understand the reasons for conducting the experiment in that way, and that you’re not just following orders. Critical thinking is crucial—robots don’t make good scientists.
• Control: Most experiments will include a control, which is a means of comparing experimental results. (Sometimes you’ll need to have more than one control, depending on the number of hypotheses you want to test.) The control is exactly the same as the other items you’re testing, except that you don’t manipulate the independent variable-the condition you’re altering to check the effect on the dependent variable. For example, if you’re testing solubility rates at increased temperatures, your control would be a solution that you didn’t heat at all; that way, you’ll see how quickly the solute dissolves “naturally” (i.e., without manipulation), and you’ll have a point of reference against which to compare the solutions you did heat.

Describe the control in the Methods section. Two things are especially important in writing about the control: identify the control as a control, and explain what you’re controlling for. Here is an example:

“As a control for the temperature change, we placed the same amount of solute in the same amount of solvent, and let the solution stand for five minutes without heating it.”

Structure and style

Organization is especially important in the Methods section of a lab report because readers must understand your experimental procedure completely. Many writers are surprised by the difficulty of conveying what they did during the experiment, since after all they’re only reporting an event, but it’s often tricky to present this information in a coherent way. There’s a fairly standard structure you can use to guide you, and following the conventions for style can help clarify your points.

• Subsections: Occasionally, researchers use subsections to report their procedure when the following circumstances apply: 1) if they’ve used a great many materials; 2) if the procedure is unusually complicated; 3) if they’ve developed a procedure that won’t be familiar to many of their readers. Because these conditions rarely apply to the experiments you’ll perform in class, most undergraduate lab reports won’t require you to use subsections. In fact, many guides to writing lab reports suggest that you try to limit your Methods section to a single paragraph.
• Narrative structure: Think of this section as telling a story about a group of people and the experiment they performed. Describe what you did in the order in which you did it. You may have heard the old joke centered on the line, “Disconnect the red wire, but only after disconnecting the green wire,” where the person reading the directions blows everything to kingdom come because the directions weren’t in order. We’re used to reading about events chronologically, and so your readers will generally understand what you did if you present that information in the same way. Also, since the Methods section does generally appear as a narrative (story), you want to avoid the “recipe” approach: “First, take a clean, dry 100 ml test tube from the rack. Next, add 50 ml of distilled water.” You should be reporting what did happen, not telling the reader how to perform the experiment: “50 ml of distilled water was poured into a clean, dry 100 ml test tube.” Hint: most of the time, the recipe approach comes from copying down the steps of the procedure from your lab manual, so you may want to draft the Methods section initially without consulting your manual. Later, of course, you can go back and fill in any part of the procedure you inadvertently overlooked.
• Past tense: Remember that you’re describing what happened, so you should use past tense to refer to everything you did during the experiment. Writers are often tempted to use the imperative (“Add 5 g of the solid to the solution”) because that’s how their lab manuals are worded; less frequently, they use present tense (“5 g of the solid are added to the solution”). Instead, remember that you’re talking about an event which happened at a particular time in the past, and which has already ended by the time you start writing, so simple past tense will be appropriate in this section (“5 g of the solid were added to the solution” or “We added 5 g of the solid to the solution”).
• Active: We heated the solution to 80°C. (The subject, “we,” performs the action, heating.)
• Passive: The solution was heated to 80°C. (The subject, “solution,” doesn’t do the heating–it is acted upon, not acting.)

Increasingly, especially in the social sciences, using first person and active voice is acceptable in scientific reports. Most readers find that this style of writing conveys information more clearly and concisely. This rhetorical choice thus brings two scientific values into conflict: objectivity versus clarity. Since the scientific community hasn’t reached a consensus about which style it prefers, you may want to ask your lab instructor.

How do I write a strong Results section?

Here’s a paradox for you. The Results section is often both the shortest (yay!) and most important (uh-oh!) part of your report. Your Materials and Methods section shows how you obtained the results, and your Discussion section explores the significance of the results, so clearly the Results section forms the backbone of the lab report. This section provides the most critical information about your experiment: the data that allow you to discuss how your hypothesis was or wasn’t supported. But it doesn’t provide anything else, which explains why this section is generally shorter than the others.

Before you write this section, look at all the data you collected to figure out what relates significantly to your hypothesis. You’ll want to highlight this material in your Results section. Resist the urge to include every bit of data you collected, since perhaps not all are relevant. Also, don’t try to draw conclusions about the results—save them for the Discussion section. In this section, you’re reporting facts. Nothing your readers can dispute should appear in the Results section.

Most Results sections feature three distinct parts: text, tables, and figures. Let’s consider each part one at a time.

This should be a short paragraph, generally just a few lines, that describes the results you obtained from your experiment. In a relatively simple experiment, one that doesn’t produce a lot of data for you to repeat, the text can represent the entire Results section. Don’t feel that you need to include lots of extraneous detail to compensate for a short (but effective) text; your readers appreciate discrimination more than your ability to recite facts. In a more complex experiment, you may want to use tables and/or figures to help guide your readers toward the most important information you gathered. In that event, you’ll need to refer to each table or figure directly, where appropriate:

“Table 1 lists the rates of solubility for each substance”

“Solubility increased as the temperature of the solution increased (see Figure 1).”

If you do use tables or figures, make sure that you don’t present the same material in both the text and the tables/figures, since in essence you’ll just repeat yourself, probably annoying your readers with the redundancy of your statements.

Feel free to describe trends that emerge as you examine the data. Although identifying trends requires some judgment on your part and so may not feel like factual reporting, no one can deny that these trends do exist, and so they properly belong in the Results section. Example:

“Heating the solution increased the rate of solubility of polar solids by 45% but had no effect on the rate of solubility in solutions containing non-polar solids.”

This point isn’t debatable—you’re just pointing out what the data show.

As in the Materials and Methods section, you want to refer to your data in the past tense, because the events you recorded have already occurred and have finished occurring. In the example above, note the use of “increased” and “had,” rather than “increases” and “has.” (You don’t know from your experiment that heating always increases the solubility of polar solids, but it did that time.)

You shouldn’t put information in the table that also appears in the text. You also shouldn’t use a table to present irrelevant data, just to show you did collect these data during the experiment. Tables are good for some purposes and situations, but not others, so whether and how you’ll use tables depends upon what you need them to accomplish.

Tables are useful ways to show variation in data, but not to present a great deal of unchanging measurements. If you’re dealing with a scientific phenomenon that occurs only within a certain range of temperatures, for example, you don’t need to use a table to show that the phenomenon didn’t occur at any of the other temperatures. How useful is this table?

As you can probably see, no solubility was observed until the trial temperature reached 50°C, a fact that the text part of the Results section could easily convey. The table could then be limited to what happened at 50°C and higher, thus better illustrating the differences in solubility rates when solubility did occur.

As a rule, try not to use a table to describe any experimental event you can cover in one sentence of text. Here’s an example of an unnecessary table from How to Write and Publish a Scientific Paper , by Robert A. Day:

As Day notes, all the information in this table can be summarized in one sentence: “S. griseus, S. coelicolor, S. everycolor, and S. rainbowenski grew under aerobic conditions, whereas S. nocolor and S. greenicus required anaerobic conditions.” Most readers won’t find the table clearer than that one sentence.

When you do have reason to tabulate material, pay attention to the clarity and readability of the format you use. Here are a few tips:

• Number your table. Then, when you refer to the table in the text, use that number to tell your readers which table they can review to clarify the material.
• Give your table a title. This title should be descriptive enough to communicate the contents of the table, but not so long that it becomes difficult to follow. The titles in the sample tables above are acceptable.
• Arrange your table so that readers read vertically, not horizontally. For the most part, this rule means that you should construct your table so that like elements read down, not across. Think about what you want your readers to compare, and put that information in the column (up and down) rather than in the row (across). Usually, the point of comparison will be the numerical data you collect, so especially make sure you have columns of numbers, not rows.Here’s an example of how drastically this decision affects the readability of your table (from A Short Guide to Writing about Chemistry , by Herbert Beall and John Trimbur). Look at this table, which presents the relevant data in horizontal rows:

It’s a little tough to see the trends that the author presumably wants to present in this table. Compare this table, in which the data appear vertically:

The second table shows how putting like elements in a vertical column makes for easier reading. In this case, the like elements are the measurements of length and height, over five trials–not, as in the first table, the length and height measurements for each trial.

• Make sure to include units of measurement in the tables. Readers might be able to guess that you measured something in millimeters, but don’t make them try.
• Don’t use vertical lines as part of the format for your table. This convention exists because journals prefer not to have to reproduce these lines because the tables then become more expensive to print. Even though it’s fairly unlikely that you’ll be sending your Biology 11 lab report to Science for publication, your readers still have this expectation. Consequently, if you use the table-drawing option in your word-processing software, choose the option that doesn’t rely on a “grid” format (which includes vertical lines).

How do I include figures in my report?

Although tables can be useful ways of showing trends in the results you obtained, figures (i.e., illustrations) can do an even better job of emphasizing such trends. Lab report writers often use graphic representations of the data they collected to provide their readers with a literal picture of how the experiment went.

When should you use a figure?

Remember the circumstances under which you don’t need a table: when you don’t have a great deal of data or when the data you have don’t vary a lot. Under the same conditions, you would probably forgo the figure as well, since the figure would be unlikely to provide your readers with an additional perspective. Scientists really don’t like their time wasted, so they tend not to respond favorably to redundancy.

If you’re trying to decide between using a table and creating a figure to present your material, consider the following a rule of thumb. The strength of a table lies in its ability to supply large amounts of exact data, whereas the strength of a figure is its dramatic illustration of important trends within the experiment. If you feel that your readers won’t get the full impact of the results you obtained just by looking at the numbers, then a figure might be appropriate.

Of course, an undergraduate class may expect you to create a figure for your lab experiment, if only to make sure that you can do so effectively. If this is the case, then don’t worry about whether to use figures or not—concentrate instead on how best to accomplish your task.

Figures can include maps, photographs, pen-and-ink drawings, flow charts, bar graphs, and section graphs (“pie charts”). But the most common figure by far, especially for undergraduates, is the line graph, so we’ll focus on that type in this handout.

At the undergraduate level, you can often draw and label your graphs by hand, provided that the result is clear, legible, and drawn to scale. Computer technology has, however, made creating line graphs a lot easier. Most word-processing software has a number of functions for transferring data into graph form; many scientists have found Microsoft Excel, for example, a helpful tool in graphing results. If you plan on pursuing a career in the sciences, it may be well worth your while to learn to use a similar program.

Computers can’t, however, decide for you how your graph really works; you have to know how to design your graph to meet your readers’ expectations. Here are some of these expectations:

• Keep it as simple as possible. You may be tempted to signal the complexity of the information you gathered by trying to design a graph that accounts for that complexity. But remember the purpose of your graph: to dramatize your results in a manner that’s easy to see and grasp. Try not to make the reader stare at the graph for a half hour to find the important line among the mass of other lines. For maximum effectiveness, limit yourself to three to five lines per graph; if you have more data to demonstrate, use a set of graphs to account for it, rather than trying to cram it all into a single figure.
• Plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Remember that the independent variable is the condition that you manipulated during the experiment and the dependent variable is the condition that you measured to see if it changed along with the independent variable. Placing the variables along their respective axes is mostly just a convention, but since your readers are accustomed to viewing graphs in this way, you’re better off not challenging the convention in your report.
• Label each axis carefully, and be especially careful to include units of measure. You need to make sure that your readers understand perfectly well what your graph indicates.
• Number and title your graphs. As with tables, the title of the graph should be informative but concise, and you should refer to your graph by number in the text (e.g., “Figure 1 shows the increase in the solubility rate as a function of temperature”).
• Many editors of professional scientific journals prefer that writers distinguish the lines in their graphs by attaching a symbol to them, usually a geometric shape (triangle, square, etc.), and using that symbol throughout the curve of the line. Generally, readers have a hard time distinguishing dotted lines from dot-dash lines from straight lines, so you should consider staying away from this system. Editors don’t usually like different-colored lines within a graph because colors are difficult and expensive to reproduce; colors may, however, be great for your purposes, as long as you’re not planning to submit your paper to Nature. Use your discretion—try to employ whichever technique dramatizes the results most effectively.
• Try to gather data at regular intervals, so the plot points on your graph aren’t too far apart. You can’t be sure of the arc you should draw between the plot points if the points are located at the far corners of the graph; over a fifteen-minute interval, perhaps the change occurred in the first or last thirty seconds of that period (in which case your straight-line connection between the points is misleading).
• If you’re worried that you didn’t collect data at sufficiently regular intervals during your experiment, go ahead and connect the points with a straight line, but you may want to examine this problem as part of your Discussion section.
• Make your graph large enough so that everything is legible and clearly demarcated, but not so large that it either overwhelms the rest of the Results section or provides a far greater range than you need to illustrate your point. If, for example, the seedlings of your plant grew only 15 mm during the trial, you don’t need to construct a graph that accounts for 100 mm of growth. The lines in your graph should more or less fill the space created by the axes; if you see that your data is confined to the lower left portion of the graph, you should probably re-adjust your scale.
• If you create a set of graphs, make them the same size and format, including all the verbal and visual codes (captions, symbols, scale, etc.). You want to be as consistent as possible in your illustrations, so that your readers can easily make the comparisons you’re trying to get them to see.

How do I write a strong Discussion section?

The discussion section is probably the least formalized part of the report, in that you can’t really apply the same structure to every type of experiment. In simple terms, here you tell your readers what to make of the Results you obtained. If you have done the Results part well, your readers should already recognize the trends in the data and have a fairly clear idea of whether your hypothesis was supported. Because the Results can seem so self-explanatory, many students find it difficult to know what material to add in this last section.

Basically, the Discussion contains several parts, in no particular order, but roughly moving from specific (i.e., related to your experiment only) to general (how your findings fit in the larger scientific community). In this section, you will, as a rule, need to:

Explain whether the data support your hypothesis

• Acknowledge any anomalous data or deviations from what you expected

Derive conclusions, based on your findings, about the process you’re studying

• Relate your findings to earlier work in the same area (if you can)

Explore the theoretical and/or practical implications of your findings

Let’s look at some dos and don’ts for each of these objectives.

This statement is usually a good way to begin the Discussion, since you can’t effectively speak about the larger scientific value of your study until you’ve figured out the particulars of this experiment. You might begin this part of the Discussion by explicitly stating the relationships or correlations your data indicate between the independent and dependent variables. Then you can show more clearly why you believe your hypothesis was or was not supported. For example, if you tested solubility at various temperatures, you could start this section by noting that the rates of solubility increased as the temperature increased. If your initial hypothesis surmised that temperature change would not affect solubility, you would then say something like,

“The hypothesis that temperature change would not affect solubility was not supported by the data.”

Note: Students tend to view labs as practical tests of undeniable scientific truths. As a result, you may want to say that the hypothesis was “proved” or “disproved” or that it was “correct” or “incorrect.” These terms, however, reflect a degree of certainty that you as a scientist aren’t supposed to have. Remember, you’re testing a theory with a procedure that lasts only a few hours and relies on only a few trials, which severely compromises your ability to be sure about the “truth” you see. Words like “supported,” “indicated,” and “suggested” are more acceptable ways to evaluate your hypothesis.

Also, recognize that saying whether the data supported your hypothesis or not involves making a claim to be defended. As such, you need to show the readers that this claim is warranted by the evidence. Make sure that you’re very explicit about the relationship between the evidence and the conclusions you draw from it. This process is difficult for many writers because we don’t often justify conclusions in our regular lives. For example, you might nudge your friend at a party and whisper, “That guy’s drunk,” and once your friend lays eyes on the person in question, she might readily agree. In a scientific paper, by contrast, you would need to defend your claim more thoroughly by pointing to data such as slurred words, unsteady gait, and the lampshade-as-hat. In addition to pointing out these details, you would also need to show how (according to previous studies) these signs are consistent with inebriation, especially if they occur in conjunction with one another. To put it another way, tell your readers exactly how you got from point A (was the hypothesis supported?) to point B (yes/no).

Acknowledge any anomalous data, or deviations from what you expected

You need to take these exceptions and divergences into account, so that you qualify your conclusions sufficiently. For obvious reasons, your readers will doubt your authority if you (deliberately or inadvertently) overlook a key piece of data that doesn’t square with your perspective on what occurred. In a more philosophical sense, once you’ve ignored evidence that contradicts your claims, you’ve departed from the scientific method. The urge to “tidy up” the experiment is often strong, but if you give in to it you’re no longer performing good science.

Sometimes after you’ve performed a study or experiment, you realize that some part of the methods you used to test your hypothesis was flawed. In that case, it’s OK to suggest that if you had the chance to conduct your test again, you might change the design in this or that specific way in order to avoid such and such a problem. The key to making this approach work, though, is to be very precise about the weakness in your experiment, why and how you think that weakness might have affected your data, and how you would alter your protocol to eliminate—or limit the effects of—that weakness. Often, inexperienced researchers and writers feel the need to account for “wrong” data (remember, there’s no such animal), and so they speculate wildly about what might have screwed things up. These speculations include such factors as the unusually hot temperature in the room, or the possibility that their lab partners read the meters wrong, or the potentially defective equipment. These explanations are what scientists call “cop-outs,” or “lame”; don’t indicate that the experiment had a weakness unless you’re fairly certain that a) it really occurred and b) you can explain reasonably well how that weakness affected your results.

If, for example, your hypothesis dealt with the changes in solubility at different temperatures, then try to figure out what you can rationally say about the process of solubility more generally. If you’re doing an undergraduate lab, chances are that the lab will connect in some way to the material you’ve been covering either in lecture or in your reading, so you might choose to return to these resources as a way to help you think clearly about the process as a whole.

This part of the Discussion section is another place where you need to make sure that you’re not overreaching. Again, nothing you’ve found in one study would remotely allow you to claim that you now “know” something, or that something isn’t “true,” or that your experiment “confirmed” some principle or other. Hesitate before you go out on a limb—it’s dangerous! Use less absolutely conclusive language, including such words as “suggest,” “indicate,” “correspond,” “possibly,” “challenge,” etc.

Relate your findings to previous work in the field (if possible)

We’ve been talking about how to show that you belong in a particular community (such as biologists or anthropologists) by writing within conventions that they recognize and accept. Another is to try to identify a conversation going on among members of that community, and use your work to contribute to that conversation. In a larger philosophical sense, scientists can’t fully understand the value of their research unless they have some sense of the context that provoked and nourished it. That is, you have to recognize what’s new about your project (potentially, anyway) and how it benefits the wider body of scientific knowledge. On a more pragmatic level, especially for undergraduates, connecting your lab work to previous research will demonstrate to the TA that you see the big picture. You have an opportunity, in the Discussion section, to distinguish yourself from the students in your class who aren’t thinking beyond the barest facts of the study. Capitalize on this opportunity by putting your own work in context.

If you’re just beginning to work in the natural sciences (as a first-year biology or chemistry student, say), most likely the work you’ll be doing has already been performed and re-performed to a satisfactory degree. Hence, you could probably point to a similar experiment or study and compare/contrast your results and conclusions. More advanced work may deal with an issue that is somewhat less “resolved,” and so previous research may take the form of an ongoing debate, and you can use your own work to weigh in on that debate. If, for example, researchers are hotly disputing the value of herbal remedies for the common cold, and the results of your study suggest that Echinacea diminishes the symptoms but not the actual presence of the cold, then you might want to take some time in the Discussion section to recapitulate the specifics of the dispute as it relates to Echinacea as an herbal remedy. (Consider that you have probably already written in the Introduction about this debate as background research.)

This information is often the best way to end your Discussion (and, for all intents and purposes, the report). In argumentative writing generally, you want to use your closing words to convey the main point of your writing. This main point can be primarily theoretical (“Now that you understand this information, you’re in a better position to understand this larger issue”) or primarily practical (“You can use this information to take such and such an action”). In either case, the concluding statements help the reader to comprehend the significance of your project and your decision to write about it.

Since a lab report is argumentative—after all, you’re investigating a claim, and judging the legitimacy of that claim by generating and collecting evidence—it’s often a good idea to end your report with the same technique for establishing your main point. If you want to go the theoretical route, you might talk about the consequences your study has for the field or phenomenon you’re investigating. To return to the examples regarding solubility, you could end by reflecting on what your work on solubility as a function of temperature tells us (potentially) about solubility in general. (Some folks consider this type of exploration “pure” as opposed to “applied” science, although these labels can be problematic.) If you want to go the practical route, you could end by speculating about the medical, institutional, or commercial implications of your findings—in other words, answer the question, “What can this study help people to do?” In either case, you’re going to make your readers’ experience more satisfying, by helping them see why they spent their time learning what you had to teach them.

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

American Psychological Association. 2010. Publication Manual of the American Psychological Association . 6th ed. Washington, DC: American Psychological Association.

Beall, Herbert, and John Trimbur. 2001. A Short Guide to Writing About Chemistry , 2nd ed. New York: Longman.

Blum, Deborah, and Mary Knudson. 1997. A Field Guide for Science Writers: The Official Guide of the National Association of Science Writers . New York: Oxford University Press.

Booth, Wayne C., Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald. 2016. The Craft of Research , 4th ed. Chicago: University of Chicago Press.

Briscoe, Mary Helen. 1996. Preparing Scientific Illustrations: A Guide to Better Posters, Presentations, and Publications , 2nd ed. New York: Springer-Verlag.

Council of Science Editors. 2014. Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers , 8th ed. Chicago & London: University of Chicago Press.

Davis, Martha. 2012. Scientific Papers and Presentations , 3rd ed. London: Academic Press.

Day, Robert A. 1994. How to Write and Publish a Scientific Paper , 4th ed. Phoenix: Oryx Press.

Porush, David. 1995. A Short Guide to Writing About Science . New York: Longman.

Williams, Joseph, and Joseph Bizup. 2017. Style: Lessons in Clarity and Grace , 12th ed. Boston: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Biology library

Course: biology library   >   unit 1, the scientific method.

• Controlled experiments
• The scientific method and experimental design

Introduction

• Make an observation.
• Ask a question.
• Form a hypothesis , or testable explanation.
• Make a prediction based on the hypothesis.
• Test the prediction.
• Iterate: use the results to make new hypotheses or predictions.

Scientific method example: Failure to toast

1. make an observation..

• Observation: the toaster won't toast.

2. Ask a question.

• Question: Why won't my toaster toast?

3. Propose a hypothesis.

• Hypothesis: Maybe the outlet is broken.

4. Make predictions.

• Prediction: If I plug the toaster into a different outlet, then it will toast the bread.

5. Test the predictions.

• Test of prediction: Plug the toaster into a different outlet and try again.
• If the toaster does toast, then the hypothesis is supported—likely correct.
• If the toaster doesn't toast, then the hypothesis is not supported—likely wrong.

Logical possibility

Practical possibility, building a body of evidence, 6. iterate..

• Iteration time!
• If the hypothesis was supported, we might do additional tests to confirm it, or revise it to be more specific. For instance, we might investigate why the outlet is broken.
• If the hypothesis was not supported, we would come up with a new hypothesis. For instance, the next hypothesis might be that there's a broken wire in the toaster.

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Writing a scientific paper.

• Writing a lab report
• INTRODUCTION

Writing a "good" methods section

"methods checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018..

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

The purpose is to provide enough detail that a competent worker could repeat the experiment. Many of your readers will skip this section because they already know from the Introduction the general methods you used. However careful writing of this section is important because for your results to be of scientific merit they must be reproducible. Otherwise your paper does not represent good science.

• Exact technical specifications and quantities and source or method of preparation
• Describe equipment used and provide illustrations where relevant.
• Chronological presentation (but related methods described together)
• Questions about "how" and "how much" are answered for the reader and not left for them to puzzle over
• Discuss statistical methods only if unusual or advanced
• When a large number of components are used prepare tables for the benefit of the reader
• Do not state the action without stating the agent of the action
• Describe how the results were generated with sufficient detail so that an independent researcher (working in the same field) could reproduce the results sufficiently to allow validation of the conclusions.
• Can the reader assess internal validity (conclusions are supported by the results presented)?
• Can the reader assess external validity (conclusions are properly generalized beyond these specific results)?
• Has the chosen method been justified?
• Are data analysis and statistical approaches justified, with assumptions and biases considered?
• Avoid: including results in the Method section; including extraneous details (unnecessary to enable reproducibility or judge validity); treating the method as a chronological history of events; unneeded references to commercial products; references to “proprietary” products or processes unavailable to the reader. 
• << Previous: INTRODUCTION
• Next: RESULTS >>
• Last Updated: Aug 4, 2023 9:33 AM
• URL: https://guides.lib.uci.edu/scientificwriting

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The Significant Research Experience Essay

• First Online: 23 September 2020

Cite this chapter

• Jonathan Sussman 4 ,
• Jordan Setayesh 5 &
• Amitej Venapally 6  

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One of the most unique and substantial parts of the MD/PhD application is the significant research experience essay, which is a part of the primary AMCAS application. In this essay, applicants describe their research positions, projects, and accomplishments in detail. This chapter explains how to structure and write this essay in terms of the scientific method. It is important for applicants to demonstrate involvement in every step of the scientific process, from designing the experiments to communicating the results. However, this essay serves as an excellent medium through which applicants can explain how their research interests have evolved over time and the most important lessons they learned through research. In effect, this essay can be viewed as a technical-based personal statement.

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Sussman, J., Setayesh, J., Venapally, A. (2021). The Significant Research Experience Essay. In: The Complete MD/PhD Applicant Guide. Springer, Cham. https://doi.org/10.1007/978-3-030-55625-9_8

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Writing an Introduction for a Scientific Paper

Dr. michelle harris, dr. janet batzli, biocore.

This section provides guidelines on how to construct a solid introduction to a scientific paper including background information, study question , biological rationale, hypothesis , and general approach . If the Introduction is done well, there should be no question in the reader’s mind why and on what basis you have posed a specific hypothesis.

Broad Question : based on an initial observation (e.g., “I see a lot of guppies close to the shore. Do guppies like living in shallow water?”). This observation of the natural world may inspire you to investigate background literature or your observation could be based on previous research by others or your own pilot study. Broad questions are not always included in your written text, but are essential for establishing the direction of your research.

Background Information : key issues, concepts, terminology, and definitions needed to understand the biological rationale for the experiment. It often includes a summary of findings from previous, relevant studies. Remember to cite references, be concise, and only include relevant information given your audience and your experimental design. Concisely summarized background information leads to the identification of specific scientific knowledge gaps that still exist. (e.g., “No studies to date have examined whether guppies do indeed spend more time in shallow water.”)

Testable Question : these questions are much more focused than the initial broad question, are specific to the knowledge gap identified, and can be addressed with data. (e.g., “Do guppies spend different amounts of time in water <1 meter deep as compared to their time in water that is >1 meter deep?”)

Biological Rationale : describes the purpose of your experiment distilling what is known and what is not known that defines the knowledge gap that you are addressing. The “BR” provides the logic for your hypothesis and experimental approach, describing the biological mechanism and assumptions that explain why your hypothesis should be true.

The biological rationale is based on your interpretation of the scientific literature, your personal observations, and the underlying assumptions you are making about how you think the system works. If you have written your biological rationale, your reader should see your hypothesis in your introduction section and say to themselves, “Of course, this hypothesis seems very logical based on the rationale presented.”

• A thorough rationale defines your assumptions about the system that have not been revealed in scientific literature or from previous systematic observation. These assumptions drive the direction of your specific hypothesis or general predictions.
• Defining the rationale is probably the most critical task for a writer, as it tells your reader why your research is biologically meaningful. It may help to think about the rationale as an answer to the questions— how is this investigation related to what we know, what assumptions am I making about what we don’t yet know, AND how will this experiment add to our knowledge? *There may or may not be broader implications for your study; be careful not to overstate these (see note on social justifications below).
• Expect to spend time and mental effort on this. You may have to do considerable digging into the scientific literature to define how your experiment fits into what is already known and why it is relevant to pursue.
• Be open to the possibility that as you work with and think about your data, you may develop a deeper, more accurate understanding of the experimental system. You may find the original rationale needs to be revised to reflect your new, more sophisticated understanding.
• As you progress through Biocore and upper level biology courses, your rationale should become more focused and matched with the level of study e ., cellular, biochemical, or physiological mechanisms that underlie the rationale. Achieving this type of understanding takes effort, but it will lead to better communication of your science.

***Special note on avoiding social justifications: You should not overemphasize the relevance of your experiment and the possible connections to large-scale processes. Be realistic and logical —do not overgeneralize or state grand implications that are not sensible given the structure of your experimental system. Not all science is easily applied to improving the human condition. Performing an investigation just for the sake of adding to our scientific knowledge (“pure or basic science”) is just as important as applied science. In fact, basic science often provides the foundation for applied studies.

Hypothesis / Predictions : specific prediction(s) that you will test during your experiment. For manipulative experiments, the hypothesis should include the independent variable (what you manipulate), the dependent variable(s) (what you measure), the organism or system , the direction of your results, and comparison to be made.

If you are doing a systematic observation , your hypothesis presents a variable or set of variables that you predict are important for helping you characterize the system as a whole, or predict differences between components/areas of the system that help you explain how the system functions or changes over time.

Experimental Approach : Briefly gives the reader a general sense of the experiment, the type of data it will yield, and the kind of conclusions you expect to obtain from the data. Do not confuse the experimental approach with the experimental protocol . The experimental protocol consists of the detailed step-by-step procedures and techniques used during the experiment that are to be reported in the Methods and Materials section.

Some Final Tips on Writing an Introduction

• As you progress through the Biocore sequence, for instance, from organismal level of Biocore 301/302 to the cellular level in Biocore 303/304, we expect the contents of your “Introduction” paragraphs to reflect the level of your coursework and previous writing experience. For example, in Biocore 304 (Cell Biology Lab) biological rationale should draw upon assumptions we are making about cellular and biochemical processes.
• Be Concise yet Specific: Remember to be concise and only include relevant information given your audience and your experimental design. As you write, keep asking, “Is this necessary information or is this irrelevant detail?” For example, if you are writing a paper claiming that a certain compound is a competitive inhibitor to the enzyme alkaline phosphatase and acts by binding to the active site, you need to explain (briefly) Michaelis-Menton kinetics and the meaning and significance of Km and Vmax. This explanation is not necessary if you are reporting the dependence of enzyme activity on pH because you do not need to measure Km and Vmax to get an estimate of enzyme activity.
• Another example: if you are writing a paper reporting an increase in Daphnia magna heart rate upon exposure to caffeine you need not describe the reproductive cycle of magna unless it is germane to your results and discussion. Be specific and concrete, especially when making introductory or summary statements.

Where Do You Discuss Pilot Studies? Many times it is important to do pilot studies to help you get familiar with your experimental system or to improve your experimental design. If your pilot study influences your biological rationale or hypothesis, you need to describe it in your Introduction. If your pilot study simply informs the logistics or techniques, but does not influence your rationale, then the description of your pilot study belongs in the Materials and Methods section.  

How will introductions be evaluated? The following is part of the rubric we will be using to evaluate your papers.

How to Write a Scientific Essay

When writing any essay it’s important to always keep the end goal in mind. You want to produce a document that is detailed, factual, about the subject matter and most importantly to the point.

Writing scientific essays will always be slightly different to when you write an essay for say English Literature . You need to be more analytical and precise when answering your questions. To help achieve this, you need to keep three golden rules in mind.

• Analysing the question, so that you know exactly what you have to do

Planning your answer

• Writing the essay

Now, let’s look at these steps in more detail to help you fully understand how to apply the three golden rules.

Analysing the question

• Start by looking at the instruction. Essays need to be written out in continuous prose. You shouldn’t be using bullet points or writing in note form.
• If it helps to make a particular point, however, you can use a diagram providing it is relevant and adequately explained.
• Look at the topic you are required to write about. The wording of the essay title tells you what you should confine your answer to – there is no place for interesting facts about other areas.

The next step is to plan your answer. What we are going to try to do is show you how to produce an effective plan in a very short time. You need a framework to show your knowledge otherwise it is too easy to concentrate on only a few aspects.

For example, when writing an essay on biology we can divide the topic up in a number of different ways. So, if you have to answer a question like ‘Outline the main properties of life and system reproduction’

The steps for planning are simple. Firstly, define the main terms within the question that need to be addressed. Then list the properties asked for and lastly, roughly assess how many words of your word count you are going to allocate to each term.

Writing the Essay

The final step (you’re almost there), now you have your plan in place for the essay, it’s time to get it all down in black and white. Follow your plan for answering the question, making sure you stick to the word count, check your spelling and grammar and give credit where credit’s (always reference your sources).

How Tutors Breakdown Essays

An exceptional essay

• reflects the detail that could be expected from a comprehensive knowledge and understanding of relevant parts of the specification
• is free from fundamental errors
• maintains appropriate depth and accuracy throughout
• includes two or more paragraphs of material that indicates greater depth or breadth of study

A good essay

An average essay

• contains a significant amount of material that reflects the detail that could be expected from a knowledge and understanding of relevant parts of the specification.

In practice this will amount to about half the essay.

• is likely to reflect limited knowledge of some areas and to be patchy in quality
• demonstrates a good understanding of basic principles with some errors and evidence of misunderstanding

A poor essay

• contains much material which is below the level expected of a candidate who has completed the course
• Contains fundamental errors reflecting a poor grasp of basic principles and concepts

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Scientific Method: Role and Importance Essay

The scientific method is a problem-solving strategy that is at the heart of biology and other sciences. There are five steps included in the scientific method that is making an observation, asking a question, forming a hypothesis or an explanation that could be tested, and predicting the test. After that, in the feedback step that is iterating, the results are used to make new predictions. The scientific method is almost always an iterative process. In other words, rather than a straight line, it is a cycle. The outcome of one round of questioning generates feedback that helps to enhance the next round of questioning.

Science is an activity that involves the logical explanation, prediction, and control of empirical phenomena. The concepts of reasoning applicable to the pursuit of this endeavor are referred to as scientific reasoning (Cowles, 2020). They include topics such as experimental design, hypothesis testing, and data interpretation. All sciences, including social sciences, follow the scientific method (Cowles, 2020). Different questions and tests are asked and performed by scientists in various domains. They do, however, have a common approach to finding logical and evidence-based answers.

Scientific reasoning is fundamental for all types of scientific study, not simply institutional research. Scientists do employ specific ideas that non-scientists do not have to use in everyday life. However, many reasoning principles are useful in everyday life. Even if one is not a scientist, they must use excellent reasoning to understand, anticipate, and regulate the events that occur in the environment. When one wants to start their careers, preserve their finances, or enhance their health, they need to acquire evidence to determine the most effective method for achieving our goals. Good scientific thinking skills come in handy in all of these situations.

Experiments, surveys, case studies, descriptive studies, and non-descriptive studies are all forms of research used in the scientific method. In an experiment, a researcher manipulates certain factors in a controlled environment and assesses their impact on other variables (Black, 2018). Descriptive research focuses on the nature of the relationship between the variables being studied rather than on cause and effect. A case study is a detailed examination of a single instance in which something unexpected has occurred. This is normally done with a single individual in extreme or exceptional instances. Large groups of individuals are polled to answer questions about certain topics in surveys. Correlational approaches are used in non-descriptive investigations to anticipate the link between two or more variables.

The Lau and Chan technique describes how to assess the validity of a theory or hypothesis using the scientific method, also known as the hypothetical-deductive method (Lau & Chan, 2017). For testing theories or hypotheses, the hypothetical-deductive technique (HD method) is highly useful. It is sometimes referred to as “scientific procedure.” This is not quite right because science can’t possibly employ only one approach. However, the HD technique is critical since it is one of the most fundamental approaches used in many scientific disciplines, including economics, physics, and biochemistry. Its implementation can be broken down into four stages. The stages include using the hypothetical-deductive method, identifying the testable hypothesis, generating the predictions according to the hypothesis, and using experiments in order to check the predictions (Cowles, 2020). If the predictions that are tested turn out to be correct, the hypothesis will be confirmed. Suppose the results are incorrect; the hypothesis would be disconfirmed.

The HD method instructs us on how to test a hypothesis, and each scientific theory must be testable.

One cannot discover evidence to illustrate whether a theory is likely or not if it cannot be tested. It cannot be considered scientific information in that circumstance. Consider the possibility that there are ghosts that people cannot see, cannot communicate with, and cannot be detected directly or indirectly. This hypothesis is defined in such a way that testing is not possible. It could still be real, and there could be such ghosts, but people would never know; thus, this cannot be considered a scientific hypothesis. In general, validating a theory’s predictions raises the likelihood that it is right. However, this does not establish definitively that the theory is right in and of itself. When given additional assumptions, a hypothesis frequently creates a prediction. When a forecast fails in this way, the theory may still be valid.

When a theory makes a faulty prediction, it might be difficult to determine whether the theory should be rejected or whether the auxiliary assumptions are flawed. Astronomers in the 19th century, for example, discovered that Newtonian physics could not adequately explain the orbit of the planet Mercury. This is due to the fact that Newtonian physics is incorrect, and you require relativity to get a more accurate orbit prediction. When astronomers discovered Uranus in 1781, they discovered that its orbit did not match Newtonian physics predictions. However, astronomers concluded that it could be explained if Uranus was being affected by another planet, and Neptune was discovered as a result.

I had several instances where I have made assumptions on an important issue regardless of evidence. Once I have prepared the work on the topic of power distribution in the workplace and its relation to gender, I have assumed that possibly because of the general feminine traits, women are less likely to create a strong image of power in comparison with men. In fact, such a hypothesis needs to be tested, and it is testable. For example, I could first define what is meant by feminine traits by collecting data from different biological and psychological sources. After that, I could observe the information regarding what factors or behavior patterns contribute to establishing power in the workplace. If I found the correlation between the feminine character traits, communication style, and behavioral patterns with the distribution of power in the workplace, then I could confirm my hypothesis.

Thus, applying the scientific method can help to improve critical reasoning by using tools from scientific reasoning. By supporting the provided hypothesis with evidence from scientific research and statistical data, one can make their claim more valuable and objective. The scientific method is essential for the creation of scientific theories that explain information and ideas in a scientifically rational manner. In a typical scientific method application, a researcher makes a hypothesis, tests it using various methods, and then alters it based on the results of the tests and experiments. The new hypothesis is then retested, further changed, and retested until it matches observable events and testing results. Hypotheses serve as tools for scientists to collect data in this way. Scientists can build broad general explanations, or scientific theories, based on that evidence and the numerous scientific experiments conducted to investigate possibilities. In conclusion, a scientific method is an important approach to examining the hypothesis. By using the tools of the scientific method, the inferences become rational and objective.

Black, M. (2018). Critical thinking: An introduction to logic and scientific method . Pickle Partners Publishing.

Cowles, H. M. (2020). The Scientific Method . Harvard University Press.

Lau, J., & Chan, J. (2017). Scientific methodology: Tutorials 1-9 .

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IvyPanda. (2023, March 14). Scientific Method: Role and Importance. https://ivypanda.com/essays/scientific-method-role-and-importance/

"Scientific Method: Role and Importance." IvyPanda , 14 Mar. 2023, ivypanda.com/essays/scientific-method-role-and-importance/.

IvyPanda . (2023) 'Scientific Method: Role and Importance'. 14 March.

IvyPanda . 2023. "Scientific Method: Role and Importance." March 14, 2023. https://ivypanda.com/essays/scientific-method-role-and-importance/.

1. IvyPanda . "Scientific Method: Role and Importance." March 14, 2023. https://ivypanda.com/essays/scientific-method-role-and-importance/.

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IvyPanda . "Scientific Method: Role and Importance." March 14, 2023. https://ivypanda.com/essays/scientific-method-role-and-importance/.

Essay and dissertation writing skills

Planning your essay

Writing your introduction

Structuring your essay

• Writing essays in science subjects
• Brief video guides to support essay planning and writing
• Writing extended essays and dissertations
• Planning your dissertation writing time

Structuring your dissertation

• Top tips for writing longer pieces of work

Advice on planning and writing essays and dissertations

University essays differ from school essays in that they are less concerned with what you know and more concerned with how you construct an argument to answer the question. This means that the starting point for writing a strong essay is to first unpick the question and to then use this to plan your essay before you start putting pen to paper (or finger to keyboard).

A really good starting point for you are these short, downloadable Tips for Successful Essay Writing and Answering the Question resources. Both resources will help you to plan your essay, as well as giving you guidance on how to distinguish between different sorts of essay questions. 

You may find it helpful to watch this seven-minute video on six tips for essay writing which outlines how to interpret essay questions, as well as giving advice on planning and structuring your writing:

Different disciplines will have different expectations for essay structure and you should always refer to your Faculty or Department student handbook or course Canvas site for more specific guidance.

However, broadly speaking, all essays share the following features:

Essays need an introduction to establish and focus the parameters of the discussion that will follow. You may find it helpful to divide the introduction into areas to demonstrate your breadth and engagement with the essay question. You might define specific terms in the introduction to show your engagement with the essay question; for example, ‘This is a large topic which has been variously discussed by many scientists and commentators. The principal tension is between the views of X and Y who define the main issues as…’ Breadth might be demonstrated by showing the range of viewpoints from which the essay question could be considered; for example, ‘A variety of factors including economic, social and political, influence A and B. This essay will focus on the social and economic aspects, with particular emphasis on…..’

Watch this two-minute video to learn more about how to plan and structure an introduction:

The main body of the essay should elaborate on the issues raised in the introduction and develop an argument(s) that answers the question. It should consist of a number of self-contained paragraphs each of which makes a specific point and provides some form of evidence to support the argument being made. Remember that a clear argument requires that each paragraph explicitly relates back to the essay question or the developing argument.

• Conclusion: An essay should end with a conclusion that reiterates the argument in light of the evidence you have provided; you shouldn’t use the conclusion to introduce new information.
• References: You need to include references to the materials you’ve used to write your essay. These might be in the form of footnotes, in-text citations, or a bibliography at the end. Different systems exist for citing references and different disciplines will use various approaches to citation. Ask your tutor which method(s) you should be using for your essay and also consult your Department or Faculty webpages for specific guidance in your discipline. 

Essay writing in science subjects

If you are writing an essay for a science subject you may need to consider additional areas, such as how to present data or diagrams. This five-minute video gives you some advice on how to approach your reading list, planning which information to include in your answer and how to write for your scientific audience – the video is available here:

A PDF providing further guidance on writing science essays for tutorials is available to download.

Short videos to support your essay writing skills

There are many other resources at Oxford that can help support your essay writing skills and if you are short on time, the Oxford Study Skills Centre has produced a number of short (2-minute) videos covering different aspects of essay writing, including:

• Approaching different types of essay questions  
• Structuring your essay  
• Writing an introduction  
• Making use of evidence in your essay writing  
• Writing your conclusion

Extended essays and dissertations

Longer pieces of writing like extended essays and dissertations may seem like quite a challenge from your regular essay writing. The important point is to start with a plan and to focus on what the question is asking. A PDF providing further guidance on planning Humanities and Social Science dissertations is available to download.

Planning your time effectively

Try not to leave the writing until close to your deadline, instead start as soon as you have some ideas to put down onto paper. Your early drafts may never end up in the final work, but the work of committing your ideas to paper helps to formulate not only your ideas, but the method of structuring your writing to read well and conclude firmly.

Although many students and tutors will say that the introduction is often written last, it is a good idea to begin to think about what will go into it early on. For example, the first draft of your introduction should set out your argument, the information you have, and your methods, and it should give a structure to the chapters and sections you will write. Your introduction will probably change as time goes on but it will stand as a guide to your entire extended essay or dissertation and it will help you to keep focused.

The structure of  extended essays or dissertations will vary depending on the question and discipline, but may include some or all of the following:

• The background information to - and context for - your research. This often takes the form of a literature review.
• Explanation of the focus of your work.
• Explanation of the value of this work to scholarship on the topic.
• List of the aims and objectives of the work and also the issues which will not be covered because they are outside its scope.

The main body of your extended essay or dissertation will probably include your methodology, the results of research, and your argument(s) based on your findings.

The conclusion is to summarise the value your research has added to the topic, and any further lines of research you would undertake given more time or resources. 

Tips on writing longer pieces of work

Approaching each chapter of a dissertation as a shorter essay can make the task of writing a dissertation seem less overwhelming. Each chapter will have an introduction, a main body where the argument is developed and substantiated with evidence, and a conclusion to tie things together. Unlike in a regular essay, chapter conclusions may also introduce the chapter that will follow, indicating how the chapters are connected to one another and how the argument will develop through your dissertation.

For further guidance, watch this two-minute video on writing longer pieces of work . 

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The One Method That Changes Your—and All Students’—Writing

Science-based writing methods can achieve dramatic results..

Posted May 14, 2024 | Reviewed by Abigail Fagan

• Why Education Is Important
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• A systematic writing framework offers a method for dramatically improving the teaching of writing.
• This method received only limited uptake, despite high-profile research publications and textbooks.
• A focus on writing style might have limited the method's impacts.

I remember spending hours commenting painstakingly on my students’ papers when I was a graduate student teaching in the Expository Writing Program at New York University. My students loved our classes, and they filled my sections and gave me terrific course evaluations. Yet I could see that their writing failed to change significantly over the course of the semester. I ended up feeling as if I should refund their money, haunted by the blunt instruments we had to teach writing.

As I’ve learned from directing five writing programs at three different universities, methods matter. When I reviewed comments on papers from instructors who taught in my programs, I discovered that the quantity and quality of comments on students’ papers made only a slight impact on writing outcomes. For instance, one notoriously lazy instructor took several weeks to return assignments and only used spelling and grammar checkers to automate comments. But his conscientious colleague made dozens of sharp observations about students’ arguments, paragraphs, and sentences. However, Mr. Conscientious’ students improved perhaps only 10% over Mr. Minimalist’s students. Even then, the differences stemmed from basic guidelines Mr. Conscientious insisted his students write to, which included providing context sentences at the outset of their essay introductions.

Educators have also poured resources into teaching writing, with increasing numbers of hours dedicated to teaching writing across primary, secondary, and higher education . Yet studies continue to find writing skills inadequate . In higher education, most universities require at least a year of writing-intensive courses, with many universities also requiring writing across the curriculum or writing in the disciplines to help preserve students’ writing skills. However, writing outcomes have remained mostly unchanged .

While pursuing my doctorate, I dedicated my research to figuring out how writing worked. As a graduate student also teaching part-time, I was an early convert to process writing. I also taught those ancient principles of logos, ethos, and pathos, as well as grammar and punctuation. Nevertheless, these frameworks only created a canvas for students’ writing. What was missing: how writers should handle words, sentence structure, and relationships between sentences.

Yet researchers published the beginnings of a science-based writing method over 30 years ago. George Gopen, Gregory Colomb, and Joseph Williams created a framework for identifying how to maximize the clarity, coherence, and continuity of writing. In particular, Gopen and Swan (1990) created a methodology for making scientific writing readable . This work should have been a revelation to anyone teaching in or directing a writing program. But, weirdly, comparatively few writing programs or faculty embraced this work, despite Williams, Colomb, and Gopen publishing both research and textbooks outlining the method and process.

Peculiarly, this framework—represented by Williams’ Style series of textbooks and Gopen’s reader expectation approach—failed to become standard in writing courses, likely because of two limitations. First, both Gopen and Williams hewed to a relativistic stance on writing methods, noting that rule-flouting often creates a memorable style. This stance created a raft of often-contradictory principles for writing. For example, Williams demonstrated that beginning sentences with There is or There are openings hijacked the clarity of sentences, then argued writers should use There is or There are to shunt important content into sentence emphasis positions, where readers recall content best. Second, these researchers failed to tie this writing framework to the wealth of data in psycholinguistics, cognitive neuroscience , or cognitive psychology on how our reading brains process written English. For instance, textbooks written by these three principal researchers avoid any mention of why emphasis positions exist at the ends of sentences and paragraphs—despite the concept clearly originating in the recency effect. This limitation may stem from the humanities’ long-held antipathy to the idea that writing is a product, rather than a process. Or even that science-based methods can help teachers and programs measure the effectiveness of writing, one reason why university First-Year Writing programs have failed to improve students’ writing in any measurable way.

Nevertheless, when you teach students how our reading brains work, you create a powerful method for rapidly improving their writing—in any course that requires writing and at all levels of education. Students can grasp how writing works as a system and assess the costs and benefits of decisions writers face, even as they choose their first words. This method also works powerfully to help students immediately understand how, for instance, paragraph heads leverage priming effects to shape readers’ understanding of paragraph content.

Using this method, I and my colleagues have helped students use a single writing assignment to secure hundreds of jobs, win millions in grant funding, and advance through the ranks in academia. However, we’ve also used the same method without modifications in elementary and secondary classrooms to bolster students’ writing by as much as three grade levels in a single year.

Perhaps the time has arrived for this well-kept secret to revolutionizing student writing outcomes to begin making inroads into more writing classrooms.

Gopen, G. D. and J. A. Swan (1990). "The Science of Scientific Writing." American Scientist 78(6): 550-558.

Gopen, George. The Sense of Structure: Writing from the Reader’s Perspective . Pearson, 2004.

Gopen, George. Expectations: Teaching Writing from the Reader’s Perspective . Pearson, 2004.

Williams, Joseph. Style: Toward Clarity and Grace . University of Chicago Press, 1995.

Williams, Joseph. Style: Ten Lessons in Clarity and Grace . Harper Collins, 1994.

Williams, Joseph. Style: The Basics of Clarity and Grace . Longman, 2002.

Jane Yellowlees Douglas, Ph.D. , is a consultant on writing and organizations. She is also the author, with Maria B. Grant, MD, of The Biomedical Writer: What You Need to Succeed in Academic Medicine .

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Academic Essay Writing Made Simple: 4 types and tips

The pen is mightier than the sword, they say, and nowhere is this more evident than in academia. From the quick scribbles of eager students to the inquisitive thoughts of renowned scholars, academic essays depict the power of the written word. These well-crafted writings propel ideas forward and expand the existing boundaries of human intellect.

What is an Academic Essay

An academic essay is a nonfictional piece of writing that analyzes and evaluates an argument around a specific topic or research question. It serves as a medium to share the author’s views and is also used by institutions to assess the critical thinking, research skills, and writing abilities of a students and researchers.  

Importance of Academic Essays

4 main types of academic essays.

While academic essays may vary in length, style, and purpose, they generally fall into four main categories. Despite their differences, these essay types share a common goal: to convey information, insights, and perspectives effectively.

1. Expository Essay

2. Descriptive Essay

3. Narrative Essay

4. Argumentative Essay

Expository and persuasive essays mainly deal with facts to explain ideas clearly. Narrative and descriptive essays are informal and have a creative edge. Despite their differences, these essay types share a common goal ― to convey information, insights, and perspectives effectively.

Expository Essays: Illuminating ideas

An expository essay is a type of academic writing that explains, illustrates, or clarifies a particular subject or idea. Its primary purpose is to inform the reader by presenting a comprehensive and objective analysis of a topic.

By breaking down complex topics into digestible pieces and providing relevant examples and explanations, expository essays allow writers to share their knowledge.

What are the Key Features of an Expository Essay

Provides factual information without bias

Presents multiple viewpoints while maintaining objectivity

Uses direct and concise language to ensure clarity for the reader

Composed of a logical structure with an introduction, body paragraphs and a conclusion

When is an expository essay written.

1. For academic assignments to evaluate the understanding of research skills.

2. As instructional content to provide step-by-step guidance for tasks or problem-solving.

3. In journalism for objective reporting in news or investigative pieces.

4. As a form of communication in the professional field to convey factual information in business or healthcare.

How to Write an Expository Essay

Expository essays are typically structured in a logical and organized manner.

1. Topic Selection and Research

• Choose a topic that can be explored objectively
• Gather relevant facts and information from credible sources
• Develop a clear thesis statement

2. Outline and Structure

• Create an outline with an introduction, body paragraphs, and conclusion
• Introduce the topic and state the thesis in the introduction
• Dedicate each body paragraph to a specific point supporting the thesis
• Use transitions to maintain a logical flow

3. Objective and Informative Writing

• Maintain an impartial and informative tone
• Avoid personal opinions or biases
• Support points with factual evidence, examples, and explanations

4. Conclusion

• Summarize the key points
• Reinforce the significance of the thesis

Descriptive Essays: Painting with words

Descriptive essays transport readers into vivid scenes, allowing them to experience the world through the writer ‘s lens. These essays use rich sensory details, metaphors, and figurative language to create a vivid and immersive experience . Its primary purpose is to engage readers’ senses and imagination.

It allows writers to demonstrate their ability to observe and describe subjects with precision and creativity.

What are the Key Features of Descriptive Essay

Employs figurative language and imagery to paint a vivid picture for the reader

Demonstrates creativity and expressiveness in narration

Includes close attention to detail, engaging the reader’s senses

Engages the reader’s imagination and emotions through immersive storytelling using analogies, metaphors, similes, etc.

When is a descriptive essay written.

1. Personal narratives or memoirs that describe significant events, people, or places.

2. Travel writing to capture the essence of a destination or experience.

3. Character sketches in fiction writing to introduce and describe characters.

4. Poetry or literary analyses to explore the use of descriptive language and imagery.

How to Write a Descriptive Essay

The descriptive essay lacks a defined structural requirement but typically includes: an introduction introducing the subject, a thorough description, and a concluding summary with insightful reflection.

1. Subject Selection and Observation

• Choose a subject (person, place, object, or experience) to describe
• Gather sensory details and observations

2. Engaging Introduction

• Set the scene and provide the context
• Use of descriptive language and figurative techniques

3. Descriptive Body Paragraphs

• Focus on specific aspects or details of the subject
• Engage the reader ’s senses with vivid imagery and descriptions
• Maintain a consistent tone and viewpoint

4. Impactful Conclusion

• Provide a final impression or insight
• Leave a lasting impact on the reader

Narrative Essays: Storytelling in Action

Narrative essays are personal accounts that tell a story, often drawing from the writer’s own experiences or observations. These essays rely on a well-structured plot, character development, and vivid descriptions to engage readers and convey a deeper meaning or lesson.

What are the Key features of Narrative Essays

Written from a first-person perspective and hence subjective

Based on real personal experiences

Uses an informal and expressive tone

Presents events and characters in sequential order

When is a narrative essay written.

It is commonly assigned in high school and college writing courses to assess a student’s ability to convey a meaningful message or lesson through a personal narrative. They are written in situations where a personal experience or story needs to be recounted, such as:

1. Reflective essays on significant life events or personal growth.

2. Autobiographical writing to share one’s life story or experiences.

3. Creative writing exercises to practice narrative techniques and character development.

4. College application essays to showcase personal qualities and experiences.

How to Write a Narrative Essay

Narrative essays typically follow a chronological structure, with an introduction that sets the scene, a body that develops the plot and characters, and a conclusion that provides a sense of resolution or lesson learned.

1. Experience Selection and Reflection

• Choose a significant personal experience or event
• Reflect on the impact and deeper meaning

2. Immersive Introduction

• Introduce characters and establish the tone and point of view

3. Plotline and Character Development

• Advance   the  plot and character development through body paragraphs
• Incorporate dialog , conflict, and resolution
• Maintain a logical and chronological flow

4. Insightful Conclusion

• Reflect on lessons learned or insights gained
• Leave the reader with a lasting impression

Argumentative Essays: Persuasion and Critical Thinking

Argumentative essays are the quintessential form of academic writing in which writers present a clear thesis and support it with well-researched evidence and logical reasoning. These essays require a deep understanding of the topic, critical analysis of multiple perspectives, and the ability to construct a compelling argument.

What are the Key Features of an Argumentative Essay?

Logical and well-structured arguments

Credible and relevant evidence from reputable sources

Consideration and refutation of counterarguments

Critical analysis and evaluation of the issue 

When is an argumentative essay written.

Argumentative essays are written to present a clear argument or stance on a particular issue or topic. In academic settings they are used to develop critical thinking, research, and persuasive writing skills. However, argumentative essays can also be written in various other contexts, such as:

1. Opinion pieces or editorials in newspapers, magazines, or online publications.

2. Policy proposals or position papers in government, nonprofit, or advocacy settings.

3. Persuasive speeches or debates in academic, professional, or competitive environments.

4. Marketing or advertising materials to promote a product, service, or idea.

How to write an Argumentative Essay

Argumentative essays begin with an introduction that states the thesis and provides context. The body paragraphs develop the argument with evidence, address counterarguments, and use logical reasoning. The conclusion restates the main argument and makes a final persuasive appeal.

• Choose a debatable and controversial issue
• Conduct thorough research and gather evidence and counterarguments

2. Thesis and Introduction

• Craft a clear and concise thesis statement
• Provide background information and establish importance

3. Structured Body Paragraphs

• Focus each paragraph on a specific aspect of the argument
• Support with logical reasoning, factual evidence, and refutation

4. Persuasive Techniques

• Adopt a formal and objective tone
• Use persuasive techniques (rhetorical questions, analogies, appeals)

5. Impactful Conclusion

• Summarize the main points
• Leave the reader with a strong final impression and call to action

To learn more about argumentative essay, check out this article .

5 Quick Tips for Researchers to Improve Academic Essay Writing Skills

Use clear and concise language to convey ideas effectively without unnecessary words

Use well-researched, credible sources to substantiate your arguments with data, expert opinions, and scholarly references

Ensure a coherent structure with effective transitions, clear topic sentences, and a logical flow to enhance readability 

To elevate your academic essay, consider submitting your draft to a community-based platform like Open Platform  for editorial review 

Review your work multiple times for clarity, coherence, and adherence to academic guidelines to ensure a polished final product

By mastering the art of academic essay writing, researchers and scholars can effectively communicate their ideas, contribute to the advancement of knowledge, and engage in meaningful scholarly discourse.

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Statement of the Problem

Ai generator.

A Statement of the Problem introduces the central issue or challenge that a research project or study aims to address. It highlights the significance of the problem, its impact, and the need for a solution. This section sets the stage for the research, providing context and justifying the importance of investigating the issue at hand.

What is a Statement of the Problem?

A Statement of the Problem clearly identifies and outlines a specific issue that a research project aims to address. It explains the context, significance, and implications of the problem, providing a foundation for the study and highlighting the necessity for a solution.

Features of a Statement of the Problem

A Statement of the Problem is a critical component of academic, scientific, or professional projects, serving as a foundation for understanding the research or the issue at hand. Here are some key features that make an effective Statement of the Problem:

• Clarity : The statement should be clear and straightforward, avoiding any ambiguity about what the problem is. It should be easily understandable to someone unfamiliar with the specific field of study or context.
• Specificity : It should precisely define the problem, outlining specific details rather than generalities. This includes who is affected by the problem, what the problem is, and where and when it occurs.
• Relevance : The problem should be significant enough to warrant investigation. This means it should have practical implications, impact a significant number of people, or contribute meaningfully to existing knowledge.
• Researchability : The problem stated should be one that can be investigated through scientific methods, including data collection and analysis. It should lead to empirical research, allowing for testing through qualitative or quantitative methods.
• Feasibility : The statement should imply a problem that can be solved within the practical constraints of the researcher’s resources, time, and technological capabilities.
• Contextual Background : It often includes a brief background that situates the problem within a larger context, helping to illustrate why it is significant and in need of investigation.
• Goal Orientation : The statement should align with the overall goals of the research, guiding the research questions and objectives. It serves as a benchmark for evaluating the success of the research.

When to Use a Statement of the Problem

Statement of the problem examples.

Here are several examples of Statements of the Problem, each tailored to different contexts to illustrate how they might be structured:

1. Academic Research in Education

Problem Statement : Many low-income students in cities struggle to use technology in their education. This lack makes it harder for them to keep up with their peers and succeed in today’s tech-heavy world.

2. Business Project in a Corporate Setting

Problem Statement : In the last two years, our customer service department received 30% more calls, but people are less satisfied with our service. Our current tools and processes can’t handle the increased number of calls, leading to lower customer loyalty and lost revenue.

3. Grant Proposal for Environmental Study

Problem Statement : Industrial waste is polluting our rivers in the southeast, harming fish populations and affecting local communities who rely on fishing for their livelihoods.

4. Product Development in Technology

Problem Statement : Many users find our mobile app hard to navigate, causing nearly half of them to stop using it within the first minute. This issue is preventing users from engaging with new features and reducing potential earnings.

5. Healthcare Quality Improvement

Problem Statement : More patients are returning to the hospital soon after going home because they aren’t getting the right care and information post-discharge. This issue is increasing healthcare costs and making patients unhappy.

6. Policy Development for Urban Planning

Problem Statement : Our city’s public transportation can’t handle the rush-hour crowds, causing delays of about 45 minutes and more pollution. This inefficiency is hurting our economy and environment.

Statement of the Problem Examples in Research

1. environmental science research.

Problem Statement : Increasing industrial activities have escalated pollution levels in River X, threatening aquatic life and water quality. This pollution impacts biodiversity and local communities relying on the river for drinking water and recreation. Addressing this issue is crucial for ecological balance and public health.

2. Social Science Research

Problem Statement : Urban migration is intensifying, leading to overcrowded cities and under-resourced rural areas. This shift causes significant urban planning challenges, such as inadequate housing and strained public services, while diminishing rural development. Research into sustainable planning is necessary to manage these demographic changes effectively.

3. Health Science Research

Problem Statement : Diabetes prevalence is rising globally, yet current management strategies are not reducing complication rates effectively. This gap highlights the need for innovative management approaches that focus on medical treatment, lifestyle, and dietary education to curb the growing diabetes epidemic.

4. Education Research

Problem Statement : Online learning platforms are expanding, but many lack engagement strategies catering to diverse learning needs. This oversight leads to lower completion rates and limited knowledge retention. Developing more interactive and personalized online learning experiences could enhance educational outcomes.

5. Engineering Research

Problem Statement : The efficiency of wind turbines is limited by variable wind speeds and maintenance challenges. Improving turbine design to adapt to these variations could increase energy output and reduce costs, making wind energy more viable and sustainable.

6. Business Research

Problem Statement : Small businesses in urban areas are struggling to sustain operations amid rising rental costs and competition from large e-commerce platforms. The lack of effective business models addressing these challenges threatens the diversity and economic vitality of urban commercial districts.

7. Public Health Research

Problem Statement : Mental health issues among adolescents are increasing, yet there are insufficient school-based mental health programs to address this trend. This gap leaves many students without access to necessary support, contributing to poor academic and social outcomes.

8. Technology Research

Problem Statement : Cybersecurity threats are evolving rapidly, outpacing current defense mechanisms. Many organizations lack the resources to implement advanced security protocols, leaving sensitive data vulnerable. Research into affordable, scalable cybersecurity solutions is essential to protect data integrity.

9. Agricultural Research

Problem Statement : Climate change is affecting crop yields, with unpredictable weather patterns leading to reduced agricultural productivity. This impact threatens food security and farmers’ livelihoods. Innovative farming practices and resilient crop varieties are needed to mitigate these effects.

10. Psychology Research

Problem Statement : The increasing use of social media among teenagers is linked to higher rates of anxiety and depression. However, there is limited understanding of the specific factors contributing to these mental health issues. Research is needed to identify these factors and develop effective interventions.

Statement of the Problem Examples for Students

Problem Statement : Coastal areas are experiencing increased erosion due to rising sea levels and stronger storms. This erosion threatens homes, wildlife habitats, and tourism. Finding effective ways to protect our coasts is essential for the environment and local economies.

Problem Statement : Many elderly people in rural areas feel isolated due to limited transportation options. This isolation can lead to depression and other health issues. Researching better transportation solutions can help improve their quality of life.

Problem Statement : There is a growing number of teenagers with sleep problems caused by excessive use of electronic devices at night. Poor sleep affects their academic performance and overall health. Finding strategies to reduce screen time before bed can help improve their sleep quality.

Problem Statement : Many students struggle with math because they do not have access to personalized learning tools. This struggle can affect their confidence and academic success. Researching effective personalized math learning apps can help students improve their math skills.

Problem Statement : Electric cars often have limited driving range due to current battery technology. This limitation makes them less attractive to potential buyers. Developing better battery solutions can help make electric cars more practical and popular.

Problem Statement : Many local businesses are closing because they cannot compete with online retailers. This trend is hurting local economies and reducing job opportunities. Researching ways to help local businesses compete can support community growth.

Problem Statement : Many teenagers are unaware of the long-term health risks of vaping. This lack of awareness leads to high rates of vaping among teens. Creating effective educational programs can help reduce vaping and protect teen health.

Problem Statement : Many people find it difficult to keep track of their daily expenses due to a lack of easy-to-use budgeting tools. This difficulty can lead to financial problems. Researching simple and effective budgeting apps can help people manage their finances better.

Problem Statement : Farmers are facing challenges with pest control due to the overuse of chemical pesticides, which harm the environment and human health. Finding natural pest control methods can help protect crops without negative side effects.

Problem Statement : High school students often experience high levels of stress during exam periods, which can negatively impact their performance and well-being. Researching stress management techniques can help students cope better with exam stress.

Statement of the Problem Examples in Case Study

1. business case study.

Problem Statement : XYZ Corporation has experienced a 25% decline in sales over the past year due to increased competition and outdated marketing strategies. This decline is threatening the company’s market position and profitability. Analyzing effective marketing strategie can help XYZ Corporation regain its market share.

2. Healthcare Case Study

Problem Statement : The ABC Hospital has seen a 30% increase in patient readmissions within 30 days post-discharge. This trend indicates potential gaps in patient care and follow-up procedures. Identifying and addressing these gaps can improve patient outcomes and reduce readmission rates.

3. Education Case Study

Problem Statement : DEF High School students have consistently scored below the national average in science subjects. This underperformance may be due to outdated curriculum and lack of hands-on learning opportunities. Exploring innovative teaching methods can help improve science education outcomes.

4. Environmental Case Study

Problem Statement : The coastal town of GHI is facing severe flooding during high tides, exacerbated by climate change. This flooding damages property, displaces residents, and disrupts local businesses. Developing sustainable flood management solutions is critical to protect the town and its residents.

5. Social Work Case Study

Problem Statement : The JKL Community Center has seen a 40% increase in youth engaging in risky behaviors, such as drug use and violence. This rise may be linked to a lack of after-school programs and community support. Investigating effective intervention programs can help reduce these behaviors and support youth development.

6. Technology Case Study

Problem Statement : MNO Tech’s new software product has received numerous customer complaints about usability issues. These issues are affecting customer satisfaction and retention. Identifying and resolving these usability problems is essential to enhance the user experience and increase customer loyalty.

7. Public Health Case Study

Problem Statement : The rural area of PQR has a high incidence of preventable diseases due to limited access to healthcare services and health education. This situation leads to poor health outcomes and increased healthcare costs. Implementing accessible healthcare solutions and educational programs is necessary to improve community health.

8. Psychology Case Study

Problem Statement : Students at STU University are reporting high levels of anxiety and stress, which negatively impact their academic performance and mental health. The current counseling services are insufficient to meet student needs. Expanding and improving mental health support services is crucial to student well-being.

9. Urban Planning Case Study

Problem Statement : The city of VWX is experiencing increased traffic congestion due to rapid population growth and inadequate public transportation infrastructure. This congestion results in longer commute times and higher pollution levels. Developing efficient public transportation solutions is vital to improve traffic flow and environmental quality.

10. Marketing Case Study

Problem Statement : YZ Company’s latest product launch failed to meet sales targets, attributed to poor market research and ineffective promotional strategies. This failure affects the company’s revenue and brand reputation. Conducting thorough market research and developing targeted promotional strategies is essential for future product success.

Statement of the Problem Examples in Quantitative Research

1. educational research.

Problem Statement : High school students in District X have shown a significant decline in math scores over the past five years. Quantitative analysis of teaching methods and student performance data is needed to identify effective strategies to improve math education.

2. Healthcare Research

Problem Statement : The rate of patient satisfaction in XYZ Hospital has dropped by 20% in the last year. Quantitative research is required to analyze patient feedback and identify factors contributing to dissatisfaction to enhance healthcare services.

3. Environmental Research

Problem Statement : Air pollution levels in City Y have increased by 30% over the past decade. This rise correlates with an increase in respiratory illnesses among residents. A quantitative study is necessary to measure pollution sources and their health impacts.

4. Business Research

Problem Statement : Employee turnover in ABC Corporation has increased by 15% annually, leading to higher recruitment and training costs. Quantitative research can help determine the main causes of turnover and develop strategies to improve employee retention.

5. Social Science Research

Problem Statement : The unemployment rate among recent graduates in Region Z is 25%, significantly higher than the national average. Quantitative analysis of employment trends and factors affecting job placement is essential to develop effective career support programs.

6. Technology Research

Problem Statement : Users of the new MNO software report a 40% lower satisfaction rate compared to previous versions. Quantitative data on user interactions and feedback are needed to pinpoint usability issues and enhance the software design.

Problem Statement : The incidence of Type 2 diabetes in Community Q has risen by 35% over the past ten years. Quantitative research is required to assess dietary habits, physical activity levels, and other risk factors contributing to this increase.

8. Marketing Research

Problem Statement : Sales of Product A have decreased by 25% in the last quarter despite increased advertising efforts. Quantitative analysis of sales data and consumer behavior is needed to understand the effectiveness of marketing strategies and identify areas for improvement.

9. Psychology Research

Problem Statement : Anxiety levels among college students have increased by 20% in the past three years. Quantitative research is necessary to examine the relationship between academic pressure, social media usage, and mental health outcomes.

10. Agricultural Research

Problem Statement : Crop yields in Farm B have declined by 15% over the past five years, despite advancements in farming technology. Quantitative analysis of soil quality, weather patterns, and farming practices is needed to identify the causes and improve crop productivity.

Statement of the Problem Examples in Business

1. declining sales.

Problem Statement : XYZ Corporation has experienced a 20% decline in sales over the past year. This decrease is attributed to increased competition and outdated marketing strategies. Analyzing current market trends and customer preferences is necessary to develop effective sales strategies.

2. High Employee Turnover

Problem Statement : ABC Company faces a 15% annual employee turnover rate, leading to increased recruitment and training costs. Identifying the key factors driving turnover through employee surveys and exit interviews is essential to improve retention rates.

3. Customer Satisfaction

Problem Statement : Customer satisfaction scores for DEF Inc. have dropped by 10% in the past six months. This decline impacts customer loyalty and overall revenue. Quantitative research into customer feedback and service quality can help identify areas for improvement.

4. Digital Marketing

Problem Statement : GHI Retail’s online sales have stagnated despite increased digital marketing efforts. Current strategies may not be effectively reaching the target audience. Analyzing online consumer behavior and campaign performance is needed to enhance digital marketing tactics.

5. Supply Chain Efficiency

Problem Statement : JKL Manufacturing has faced a 25% increase in supply chain disruptions, leading to production delays and higher costs. Researching the causes of these disruptions and exploring alternative supply chain models can improve operational efficiency.

6. Product Launch

Problem Statement : MNO Corporation’s recent product launch failed to meet sales targets, resulting in a 30% shortfall. Factors such as market readiness and product positioning need to be evaluated to ensure future launches are successful.

7. Market Expansion

Problem Statement : PQR Ltd. aims to expand into international markets but lacks a clear understanding of local consumer preferences and regulatory requirements. Conducting market research and feasibility studies is crucial to develop a successful expansion strategy.

8. Financial Performance

Problem Statement : STU Enterprises has seen a 10% decline in profit margins over the past two years due to rising operational costs and stagnant revenue growth. Quantitative analysis of financial data and cost management practices is needed to enhance profitability.

9. Brand Awareness

Problem Statement : VWX Brand’s awareness in the target market is low, with only 30% brand recognition among potential customers. Investigating effective branding and promotional strategies is essential to increase market visibility and customer engagement.

10. Customer Retention

Problem Statement : YZ Services is experiencing a high churn rate, with 20% of customers leaving annually. Understanding the reasons behind customer attrition through data analysis and customer feedback can help develop strategies to improve retention and loyalty.

How to identify a Statement of the Problem

Identifying a Statement of the Problem involves several key steps to ensure it is clear, specific, and researchable. Here’s a guide to help you identify and craft a strong Statement of the Problem:

1. Understand the Context

• Background Research : Conduct preliminary research to understand the broader context of the issue.
• Literature Review : Review existing studies and reports to identify gaps in knowledge or unresolved issues.

2. Define the Problem

• Specificity : Clearly define what the problem is, focusing on a specific issue rather than a broad topic.
• Relevance : Ensure the problem is significant enough to warrant investigation.

3. Identify the Stakeholders

• Affected Parties : Identify who is affected by the problem (e.g., a particular community, organization, or demographic group).
• Impact : Explain how these stakeholders are impacted by the problem.

4. State the Consequences

• Implications : Discuss the potential consequences if the problem is not addressed. This could include economic, social, health, or environmental impacts.

5. Establish the Research Scope

• Researchability : Ensure the problem can be addressed through empirical research. It should lead to questions that can be answered through data collection and analysis.
• Feasibility : Consider whether the problem can be studied within the available resources and time frame.

6. Draft the Statement

• Clarity : Write the problem statement clearly and concisely.
• Conciseness : Keep it brief while ensuring all essential details are included.

How to Write a Statement of the Problem

Writing a Statement of the Problem is a critical step in setting the foundation for any research project. It clearly identifies the issue that the research will address. Here’s a step-by-step guide on how to write a compelling Statement of the Problem:

Contextualize the Problem

Introduce the Topic : Briefly introduce the broader topic or field in which the problem exists. Background Information : Provide relevant background information to help the reader understand the context of the problem.

State the Problem Clearly

Define the Problem : Clearly state what the specific problem is. Be Specific : Avoid vague language. Be as specific as possible about what the problem is and who it affects.

Explain the Relevance

Significance : Explain why this problem is important and why it needs to be addressed. Impacts : Discuss the potential negative impacts if the problem is not addressed.

Identify the Gap

Existing Research : Mention what is already known about the problem. Knowledge Gap : Identify what is not known or what has not been addressed adequately by existing research.

State the Objectives

Research Purpose : Clearly state what you aim to achieve with your research. Scope : Define the scope of your research and what it will cover.

Format and Language

Clarity : Use clear and concise language. Conciseness : Keep the statement brief but informative. Readability : Ensure the statement is easy to read and understand.

Full Example Statement of the Problem:

Statement of the Problem: Educational Disparities in Low-Income Areas In recent years, educational disparities between different socio-economic groups have become more pronounced. Students in low-income areas of District X are scoring significantly lower in standardized tests compared to students in higher-income areas. This underperformance limits future opportunities for these students, perpetuating cycles of poverty and inequality. Despite numerous studies highlighting factors such as lack of resources and inadequate support contributing to this issue, there remains insufficient data on the effectiveness of targeted interventions designed to improve academic performance in these areas. Addressing this problem is crucial, as educational attainment is a key determinant of socio-economic mobility and overall quality of life. The purpose of this study is to evaluate the impact of additional educational resources and support on student performance in low-income areas of District X. Specifically, this research will focus on three key areas: access to tutoring, availability of learning materials, and parental involvement. By identifying and implementing effective strategies, this study aims to close the educational gap and provide equitable opportunities for all students, regardless of their socio-economic background.

What not to include in a Statement of the Problem

When writing a Statement of the Problem, it’s important to be clear, concise, and focused. Here are some elements you should avoid including to ensure your statement is effective and professional:

1. Broad Generalizations

• Avoid making vague or overly broad statements that do not clearly define the problem. Specificity is key to a strong problem statement.

2. Unrelated Information

• Do not include background information or context that is not directly related to the problem you are addressing. Stay focused on the specific issue at hand.

3. Solutions or Interventions

• The problem statement should only describe the issue, not propose solutions. Solutions and interventions should be discussed in a separate section of your research proposal or paper.

4. Technical Jargon

• Avoid using overly technical language or jargon that may not be easily understood by all readers. Aim for clarity and simplicity.

5. Personal Opinions

• A problem statement should be based on facts and evidence, not personal opinions or anecdotal experiences.

6. Excessive Details

• Do not overload the statement with too many details. Keep it concise and to the point, focusing on the most critical aspects of the problem.

7. Assumptions

• Avoid making assumptions about the causes or solutions of the problem. The purpose of your research is to investigate these aspects objectively.

8. Redundancy

• Do not repeat information or restate the problem in different ways. Be concise and avoid redundancy to keep the statement clear and focused.

9. Passive Voice

• Minimize the use of passive voice. Active voice makes the statement more direct and dynamic.

A Statement of the Problem identifies and describes the specific issue or gap that the research aims to address, providing context and significance.

Why is it important?

It sets the foundation for the research, clearly defining the issue to guide the study’s objectives, methodology, and analysis.

How long should it be?

Typically, it should be concise, about one to two paragraphs, clearly presenting the problem without unnecessary details.

What should it include?

Include the problem definition, its context, significance, affected stakeholders, and the research gap.

What should be avoided?

Avoid broad generalizations, unrelated information, solutions, technical jargon, personal opinions, excessive details, assumptions, redundancy, and passive voice.

Can it include questions?

Yes, posing research questions can help clarify the specific aspects of the problem that the study will address.

Should it mention the research method?

No, the Statement of the Problem should focus on defining the issue, not on the research methods or solutions.

How does it differ from a hypothesis?

A Statement of the Problem identifies the issue to be researched, while a hypothesis is a testable prediction based on that problem.

Can it evolve during research?

Yes, it can be refined as more information is gathered, but the core problem should remain consistent.

Where is it placed in a research paper?

It is usually located at the beginning of the introduction section, setting the stage for the research.

Text prompt

• Instructive
• Professional

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