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Research Paper – Structure, Examples and Writing Guide

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Research Paper

Definition:

Research Paper is a written document that presents the author’s original research, analysis, and interpretation of a specific topic or issue.

It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new knowledge or insights to a particular field of study, and to demonstrate the author’s understanding of the existing literature and theories related to the topic.

Structure of Research Paper

The structure of a research paper typically follows a standard format, consisting of several sections that convey specific information about the research study. The following is a detailed explanation of the structure of a research paper:

The title page contains the title of the paper, the name(s) of the author(s), and the affiliation(s) of the author(s). It also includes the date of submission and possibly, the name of the journal or conference where the paper is to be published.

The abstract is a brief summary of the research paper, typically ranging from 100 to 250 words. It should include the research question, the methods used, the key findings, and the implications of the results. The abstract should be written in a concise and clear manner to allow readers to quickly grasp the essence of the research.

Introduction

The introduction section of a research paper provides background information about the research problem, the research question, and the research objectives. It also outlines the significance of the research, the research gap that it aims to fill, and the approach taken to address the research question. Finally, the introduction section ends with a clear statement of the research hypothesis or research question.

Literature Review

The literature review section of a research paper provides an overview of the existing literature on the topic of study. It includes a critical analysis and synthesis of the literature, highlighting the key concepts, themes, and debates. The literature review should also demonstrate the research gap and how the current study seeks to address it.

The methods section of a research paper describes the research design, the sample selection, the data collection and analysis procedures, and the statistical methods used to analyze the data. This section should provide sufficient detail for other researchers to replicate the study.

The results section presents the findings of the research, using tables, graphs, and figures to illustrate the data. The findings should be presented in a clear and concise manner, with reference to the research question and hypothesis.

The discussion section of a research paper interprets the findings and discusses their implications for the research question, the literature review, and the field of study. It should also address the limitations of the study and suggest future research directions.

The conclusion section summarizes the main findings of the study, restates the research question and hypothesis, and provides a final reflection on the significance of the research.

The references section provides a list of all the sources cited in the paper, following a specific citation style such as APA, MLA or Chicago.

How to Write Research Paper

You can write Research Paper by the following guide:

• Choose a Topic: The first step is to select a topic that interests you and is relevant to your field of study. Brainstorm ideas and narrow down to a research question that is specific and researchable.
• Conduct a Literature Review: The literature review helps you identify the gap in the existing research and provides a basis for your research question. It also helps you to develop a theoretical framework and research hypothesis.
• Develop a Thesis Statement : The thesis statement is the main argument of your research paper. It should be clear, concise and specific to your research question.
• Plan your Research: Develop a research plan that outlines the methods, data sources, and data analysis procedures. This will help you to collect and analyze data effectively.
• Collect and Analyze Data: Collect data using various methods such as surveys, interviews, observations, or experiments. Analyze data using statistical tools or other qualitative methods.
• Organize your Paper : Organize your paper into sections such as Introduction, Literature Review, Methods, Results, Discussion, and Conclusion. Ensure that each section is coherent and follows a logical flow.
• Write your Paper : Start by writing the introduction, followed by the literature review, methods, results, discussion, and conclusion. Ensure that your writing is clear, concise, and follows the required formatting and citation styles.
• Edit and Proofread your Paper: Review your paper for grammar and spelling errors, and ensure that it is well-structured and easy to read. Ask someone else to review your paper to get feedback and suggestions for improvement.
• Cite your Sources: Ensure that you properly cite all sources used in your research paper. This is essential for giving credit to the original authors and avoiding plagiarism.

Research Paper Example

Note : The below example research paper is for illustrative purposes only and is not an actual research paper. Actual research papers may have different structures, contents, and formats depending on the field of study, research question, data collection and analysis methods, and other factors. Students should always consult with their professors or supervisors for specific guidelines and expectations for their research papers.

Research Paper Example sample for Students:

Title: The Impact of Social Media on Mental Health among Young Adults

Abstract: This study aims to investigate the impact of social media use on the mental health of young adults. A literature review was conducted to examine the existing research on the topic. A survey was then administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO (Fear of Missing Out) are significant predictors of mental health problems among young adults.

Introduction: Social media has become an integral part of modern life, particularly among young adults. While social media has many benefits, including increased communication and social connectivity, it has also been associated with negative outcomes, such as addiction, cyberbullying, and mental health problems. This study aims to investigate the impact of social media use on the mental health of young adults.

Literature Review: The literature review highlights the existing research on the impact of social media use on mental health. The review shows that social media use is associated with depression, anxiety, stress, and other mental health problems. The review also identifies the factors that contribute to the negative impact of social media, including social comparison, cyberbullying, and FOMO.

Methods : A survey was administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The survey included questions on social media use, mental health status (measured using the DASS-21), and perceived impact of social media on their mental health. Data were analyzed using descriptive statistics and regression analysis.

Results : The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO are significant predictors of mental health problems among young adults.

Discussion : The study’s findings suggest that social media use has a negative impact on the mental health of young adults. The study highlights the need for interventions that address the factors contributing to the negative impact of social media, such as social comparison, cyberbullying, and FOMO.

Conclusion : In conclusion, social media use has a significant impact on the mental health of young adults. The study’s findings underscore the need for interventions that promote healthy social media use and address the negative outcomes associated with social media use. Future research can explore the effectiveness of interventions aimed at reducing the negative impact of social media on mental health. Additionally, longitudinal studies can investigate the long-term effects of social media use on mental health.

Limitations : The study has some limitations, including the use of self-report measures and a cross-sectional design. The use of self-report measures may result in biased responses, and a cross-sectional design limits the ability to establish causality.

Implications: The study’s findings have implications for mental health professionals, educators, and policymakers. Mental health professionals can use the findings to develop interventions that address the negative impact of social media use on mental health. Educators can incorporate social media literacy into their curriculum to promote healthy social media use among young adults. Policymakers can use the findings to develop policies that protect young adults from the negative outcomes associated with social media use.

References :

• Twenge, J. M., & Campbell, W. K. (2019). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive medicine reports, 15, 100918.
• Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., … & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1-9.
• Van der Meer, T. G., & Verhoeven, J. W. (2017). Social media and its impact on academic performance of students. Journal of Information Technology Education: Research, 16, 383-398.

Appendix : The survey used in this study is provided below.

Social Media and Mental Health Survey

• How often do you use social media per day?
• Less than 30 minutes
• 30 minutes to 1 hour
• 1 to 2 hours
• 2 to 4 hours
• More than 4 hours
• Which social media platforms do you use?
• Others (Please specify)
• How often do you experience the following on social media?
• Social comparison (comparing yourself to others)
• Cyberbullying
• Fear of Missing Out (FOMO)
• Have you ever experienced any of the following mental health problems in the past month?
• Do you think social media use has a positive or negative impact on your mental health?
• Very positive
• Somewhat positive
• Somewhat negative
• Very negative
• In your opinion, which factors contribute to the negative impact of social media on mental health?
• Social comparison
• In your opinion, what interventions could be effective in reducing the negative impact of social media on mental health?
• Education on healthy social media use
• Counseling for mental health problems caused by social media
• Social media detox programs
• Regulation of social media use

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

• Advancing knowledge: Research papers contribute to the advancement of knowledge by generating new insights, theories, and findings that can inform future research and practice. They help to answer important questions, clarify existing knowledge, and identify areas that require further investigation.
• Informing policy: Research papers can inform policy decisions by providing evidence-based recommendations for policymakers. They can help to identify gaps in current policies, evaluate the effectiveness of interventions, and inform the development of new policies and regulations.
• Improving practice: Research papers can improve practice by providing evidence-based guidance for professionals in various fields, including medicine, education, business, and psychology. They can inform the development of best practices, guidelines, and standards of care that can improve outcomes for individuals and organizations.
• Educating students : Research papers are often used as teaching tools in universities and colleges to educate students about research methods, data analysis, and academic writing. They help students to develop critical thinking skills, research skills, and communication skills that are essential for success in many careers.
• Fostering collaboration: Research papers can foster collaboration among researchers, practitioners, and policymakers by providing a platform for sharing knowledge and ideas. They can facilitate interdisciplinary collaborations and partnerships that can lead to innovative solutions to complex problems.

When to Write Research Paper

Research papers are typically written when a person has completed a research project or when they have conducted a study and have obtained data or findings that they want to share with the academic or professional community. Research papers are usually written in academic settings, such as universities, but they can also be written in professional settings, such as research organizations, government agencies, or private companies.

Here are some common situations where a person might need to write a research paper:

• For academic purposes: Students in universities and colleges are often required to write research papers as part of their coursework, particularly in the social sciences, natural sciences, and humanities. Writing research papers helps students to develop research skills, critical thinking skills, and academic writing skills.
• For publication: Researchers often write research papers to publish their findings in academic journals or to present their work at academic conferences. Publishing research papers is an important way to disseminate research findings to the academic community and to establish oneself as an expert in a particular field.
• To inform policy or practice : Researchers may write research papers to inform policy decisions or to improve practice in various fields. Research findings can be used to inform the development of policies, guidelines, and best practices that can improve outcomes for individuals and organizations.
• To share new insights or ideas: Researchers may write research papers to share new insights or ideas with the academic or professional community. They may present new theories, propose new research methods, or challenge existing paradigms in their field.

Purpose of Research Paper

The purpose of a research paper is to present the results of a study or investigation in a clear, concise, and structured manner. Research papers are written to communicate new knowledge, ideas, or findings to a specific audience, such as researchers, scholars, practitioners, or policymakers. The primary purposes of a research paper are:

• To contribute to the body of knowledge : Research papers aim to add new knowledge or insights to a particular field or discipline. They do this by reporting the results of empirical studies, reviewing and synthesizing existing literature, proposing new theories, or providing new perspectives on a topic.
• To inform or persuade: Research papers are written to inform or persuade the reader about a particular issue, topic, or phenomenon. They present evidence and arguments to support their claims and seek to persuade the reader of the validity of their findings or recommendations.
• To advance the field: Research papers seek to advance the field or discipline by identifying gaps in knowledge, proposing new research questions or approaches, or challenging existing assumptions or paradigms. They aim to contribute to ongoing debates and discussions within a field and to stimulate further research and inquiry.
• To demonstrate research skills: Research papers demonstrate the author’s research skills, including their ability to design and conduct a study, collect and analyze data, and interpret and communicate findings. They also demonstrate the author’s ability to critically evaluate existing literature, synthesize information from multiple sources, and write in a clear and structured manner.

Characteristics of Research Paper

Research papers have several characteristics that distinguish them from other forms of academic or professional writing. Here are some common characteristics of research papers:

• Evidence-based: Research papers are based on empirical evidence, which is collected through rigorous research methods such as experiments, surveys, observations, or interviews. They rely on objective data and facts to support their claims and conclusions.
• Structured and organized: Research papers have a clear and logical structure, with sections such as introduction, literature review, methods, results, discussion, and conclusion. They are organized in a way that helps the reader to follow the argument and understand the findings.
• Formal and objective: Research papers are written in a formal and objective tone, with an emphasis on clarity, precision, and accuracy. They avoid subjective language or personal opinions and instead rely on objective data and analysis to support their arguments.
• Citations and references: Research papers include citations and references to acknowledge the sources of information and ideas used in the paper. They use a specific citation style, such as APA, MLA, or Chicago, to ensure consistency and accuracy.
• Peer-reviewed: Research papers are often peer-reviewed, which means they are evaluated by other experts in the field before they are published. Peer-review ensures that the research is of high quality, meets ethical standards, and contributes to the advancement of knowledge in the field.
• Objective and unbiased: Research papers strive to be objective and unbiased in their presentation of the findings. They avoid personal biases or preconceptions and instead rely on the data and analysis to draw conclusions.

Advantages of Research Paper

Research papers have many advantages, both for the individual researcher and for the broader academic and professional community. Here are some advantages of research papers:

• Contribution to knowledge: Research papers contribute to the body of knowledge in a particular field or discipline. They add new information, insights, and perspectives to existing literature and help advance the understanding of a particular phenomenon or issue.
• Opportunity for intellectual growth: Research papers provide an opportunity for intellectual growth for the researcher. They require critical thinking, problem-solving, and creativity, which can help develop the researcher’s skills and knowledge.
• Career advancement: Research papers can help advance the researcher’s career by demonstrating their expertise and contributions to the field. They can also lead to new research opportunities, collaborations, and funding.
• Academic recognition: Research papers can lead to academic recognition in the form of awards, grants, or invitations to speak at conferences or events. They can also contribute to the researcher’s reputation and standing in the field.
• Impact on policy and practice: Research papers can have a significant impact on policy and practice. They can inform policy decisions, guide practice, and lead to changes in laws, regulations, or procedures.
• Advancement of society: Research papers can contribute to the advancement of society by addressing important issues, identifying solutions to problems, and promoting social justice and equality.

Limitations of Research Paper

Research papers also have some limitations that should be considered when interpreting their findings or implications. Here are some common limitations of research papers:

• Limited generalizability: Research findings may not be generalizable to other populations, settings, or contexts. Studies often use specific samples or conditions that may not reflect the broader population or real-world situations.
• Potential for bias : Research papers may be biased due to factors such as sample selection, measurement errors, or researcher biases. It is important to evaluate the quality of the research design and methods used to ensure that the findings are valid and reliable.
• Ethical concerns: Research papers may raise ethical concerns, such as the use of vulnerable populations or invasive procedures. Researchers must adhere to ethical guidelines and obtain informed consent from participants to ensure that the research is conducted in a responsible and respectful manner.
• Limitations of methodology: Research papers may be limited by the methodology used to collect and analyze data. For example, certain research methods may not capture the complexity or nuance of a particular phenomenon, or may not be appropriate for certain research questions.
• Publication bias: Research papers may be subject to publication bias, where positive or significant findings are more likely to be published than negative or non-significant findings. This can skew the overall findings of a particular area of research.
• Time and resource constraints: Research papers may be limited by time and resource constraints, which can affect the quality and scope of the research. Researchers may not have access to certain data or resources, or may be unable to conduct long-term studies due to practical limitations.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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What Is a Research Paper?

• An Introduction to Punctuation

Olivia Valdes was the Associate Editorial Director for ThoughtCo. She worked with Dotdash Meredith from 2017 to 2021.

• B.A., American Studies, Yale University

A research paper is a common form of academic writing . Research papers require students and academics to locate information about a topic (that is, to conduct research ), take a stand on that topic, and provide support (or evidence) for that position in an organized report.

The term research paper may also refer to a scholarly article that contains the results of original research or an evaluation of research conducted by others. Most scholarly articles must undergo a process of peer review before they can be accepted for publication in an academic journal.

Define Your Research Question

The first step in writing a research paper is defining your research question . Has your instructor assigned a specific topic? If so, great—you've got this step covered. If not, review the guidelines of the assignment. Your instructor has likely provided several general subjects for your consideration. Your research paper should focus on a specific angle on one of these subjects. Spend some time mulling over your options before deciding which one you'd like to explore more deeply.

Try to choose a research question that interests you. The research process is time-consuming, and you'll be significantly more motivated if you have a genuine desire to learn more about the topic. You should also consider whether you have access to all of the resources necessary to conduct thorough research on your topic, such as primary and secondary sources .

Create a Research Strategy 

Approach the research process systematically by creating a research strategy. First, review your library's website. What resources are available? Where will you find them? Do any resources require a special process to gain access? Start gathering those resources—especially those that may be difficult to access—as soon as possible.

Second, make an appointment with a reference librarian . A reference librarian is nothing short of a research superhero. He or she will listen to your research question, offer suggestions for how to focus your research, and direct you toward valuable sources that directly relate to your topic.

Evaluate Sources

Now that you've gathered a wide array of sources, it's time to evaluate them. First, consider the reliability of the information. Where is the information coming from? What is the origin of the source? Second, assess the  relevance  of the information. How does this information relate to your research question? Does it support, refute, or add context to your position? How does it relate to the other sources you'll be using in your paper? Once you have determined that your sources are both reliable and relevant, you can proceed confidently to the writing phase. 

Why Write Research Papers? 

The research process is one of the most taxing academic tasks you'll be asked to complete. Luckily, the value of writing a research paper goes beyond that A+ you hope to receive. Here are just some of the benefits of research papers. 

• Learning Scholarly Conventions:  Writing a research paper is a crash course in the stylistic conventions of scholarly writing. During the research and writing process, you'll learn how to document your research, cite sources appropriately, format an academic paper, maintain an academic tone, and more.
• Organizing Information: In a way, research is nothing more than a massive organizational project. The information available to you is near-infinite, and it's your job to review that information, narrow it down, categorize it, and present it in a clear, relevant format. This process requires attention to detail and major brainpower.
• Managing Time: Research papers put your time management  skills to the test. Every step of the research and writing process takes time, and it's up to you to set aside the time you'll need to complete each step of the task. Maximize your efficiency by creating a research schedule and inserting blocks of "research time" into your calendar as soon as you receive the assignment. 
• Exploring Your Chosen Subject:  We couldn't forget the best part of research papers—learning about something that truly excites you. No matter what topic you choose, you're bound to come away from the research process with new ideas and countless nuggets of fascinating information. 

The best research papers are the result of genuine interest and a thorough research process. With these ideas in mind, go forth and research. Welcome to the scholarly conversation!

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What is a Research Paper?

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"Research paper." What image comes into mind as you hear those words: working with stacks of articles and books, hunting the "treasure" of others' thoughts? Whatever image you create, it's a sure bet that you're envisioning sources of information--articles, books, people, artworks. Yet a research paper is more than the sum of your sources, more than a collection of different pieces of information about a topic, and more than a review of the literature in a field. A research paper analyzes a perspective argues a point . Regardless of the type of research paper you are writing, your finished research paper should present your own thinking backed up by others' ideas and information.

To draw a parallel, a lawyer researches and reads about many cases and uses them to support his or her own case. A scientist reads many case studies to support an idea about a scientific principle. In the same way, a history student writing about the Vietnam War might read newspaper articles and books and interview veterans to develop and/or confirm a viewpoint and support it with evidence.

A research paper is an expanded essay that presents your own interpretation or evaluation or argument. When you write an essay, you use everything that you personally know and have thought about a subject. When you write a research paper you build upon what you know about the subject and make a deliberate attempt to find out what experts know. A research paper involves surveying a field of knowledge in order to find the best possible information in that field. And that survey can be orderly and focused, if you know how to approach it. Don't worry--you won't get lost in a sea of sources.

In fact, this guide is designed to help you navigate the research voyage, through developing a research question and thesis, doing the research, writing the paper, and correctly documenting your sources.

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Research Paper

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A research paper is a product of seeking information, analysis, human thinking, and time. Basically, when scholars want to get answers to questions, they start to search for information to expand, use, approve, or deny findings. In simple words, research papers are results of processes by considering writing works and following specific requirements. Besides, scientists study and expand many theories, developing social or technological aspects of human science. However, in order to provide a quality product, they need to know the definition of such a work, its characteristics, type, structure, format, and how to write it in 7 steps.

What Is a Research Paper and Its Purpose

According to its definition, a research paper is a detailed and structured academic document that presents an individual’s analysis, interpretation, or argument based on existing knowledge and literature. The main purpose of writing a research paper is to contribute to existing literature, develop critical thinking and scientific skills, support academic and professional growth, share findings, demonstrate knowledge and competence, and encourage lifelong learning (Wankhade, 2018). Moreover, such a work is one of the types of papers where scholars analyze questions or topics, look for secondary sources, and write papers on defined themes. For example, if an assignment is to write about some causes of global warming or any other topic, a person must write a research proposal on it, analyzing important points and credible sources (Goodson, 2024). Although essays focus on personal knowledge, writing a scholarly document means analyzing sources by following academic standards. In turn, scientists must meet the strict structure of research papers (Busse & August, 2020). As such, writers need to analyze their topics, start to search for sources, cover key aspects, process credible articles, and organize final studies properly. However, a research paper’s length can vary significantly depending on its academic level and purpose.

• Length: Typically 2-10 pages.
• Word Count: Approximately 500-2,500 words.
• Length: Usually 10-30 pages.
• Word Count: Around 2,500-7,500 words.
• Length: Master’s theses are generally 40-80 pages, while doctoral dissertations can be 100-300 pages or more.
• Word Count: Master’s theses are typically 10,000-20,000 words, and doctoral dissertations can range from 20,000-100,000 words, depending on the discipline and complexity.
• Length: Generally 8-12 pages for short articles, but review articles and comprehensive studies can be longer.
• Word Count: Approximately 3,000-8,000 words.
• Length: Usually 5-10 pages.
• Word Count: Around 2,000-4,000 words.
• Length: Typically 6-12 pages.
• Word Count: Approximately 2,500-6,000 words.
• Length: Varies widely, often 20-100 pages.
• Word Count: Around 5,000-30,000 words.
• Length: Generally 5-15 pages.
• Word Count: Approximately 2,000-5,000 words.
• Length: Varies, usually 20-40 pages per chapter.
• Word Count: Around 5,000-10,000 words.
• Length: Typically 100-300 pages.
• Word Count: Approximately 30,000-100,000 words.

Research Characteristics

Any type of work must meet some standards. By considering a research paper, this work must be written accordingly. In this case, their main characteristics are the length, style, format, and sources (Graham & McCoy, 2014). Firstly, the study’s length defines the number of needed sources to be analyzed. Then, the style must be formal and cover impersonal and inclusive language (Graham & McCoy, 2014). Moreover, the format means academic standards of how to organize final works, including its structure and norms. Finally, sources and their number define works as research papers because of the volume of analyzed information (Graham & McCoy, 2014). Hence, these characteristics must be considered while writing scholarly documents. In turn, general formatting guidelines are:

• Use a standard font (e.g., Times New Roman, 12-point).
• Double-space the text.
• Include 1-inch margins on all sides.
• Indent the first line of each paragraph.
• Number all pages consecutively, usually in the upper right corner.

Types of Research Papers

In general, the length of assignments can be different because of instructions. For example, there are two main types of research papers, such as typical and serious works. Firstly, a typical research paper may include definitive, argumentative, interpretive, and other works (Goodson, 2024). In this case, typical papers are from 2 to 10 pages, where students analyze study questions or specific topics. Then, a serious research composition is the expanded version of typical works. In turn, the length of such a paper is more than 10 pages (Wankhade, 2018). Basically, such works cover a serious analysis with many sources. Therefore, typical and serious works are two types that scholars should consider when writing their documents.

Typical Research Works

Basically, typical research works depend on assignments, the number of sources, and the paper’s length. So, this composition is usually a long essay with the analyzed evidence. For example, students in high school and college get such assignments to learn how to research and analyze topics (Goodson, 2024). In this case, they do not need to conduct serious experiments with the analysis and calculation of data. Moreover, students must use the Internet or libraries in searching for credible secondary sources to find potential answers to specific questions. As a result, students gather information on topics and learn how to take defined sides, present unique positions, or explain new directions (Goodson, 2024). Hence, they require an analysis of primary and secondary sources without serious experiments or data.

Serious Research Studies

Although long papers require a lot of time for finding and analyzing credible sources, real experiments are an integral part of research work. Firstly, scholars at universities need to analyze the information from past studies to expand or disapprove of topics (Wankhade, 2018). Then, if scholars want to prove specific positions or ideas, they must get real evidence. In this case, experiments can be surveys, calculations, or other types of data that scholars do personally. Moreover, a dissertation is a serious research paper that young scientists write based on the analysis of topics, data from conducted experiments, and conclusions at the end of work (Wankhade, 2018). Thus, they are studies that take a lot of time, analysis of sources with gained data, and interpretation of results.

The structure and format of research papers depend on assignment requirements. In fact, when students get their assignments and instructions, they need to analyze specific research questions or topics, find reliable sources, and write final works. Basically, their structure and format consist of the abstract, outline, introduction, literature review, methodology, results, discussion, recommendations, limitations, conclusion, acknowledgments, and references (Graham & McCoy, 2014). However, students may not include some of these sections because of assigned instructions that they have and specific types they must follow. For instance, if instructions are not supposed to conduct real experiments, the methodology section can be skipped because of the data’s absence. In turn, the structure of the final work consists of:

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🔸 The First Part of a Research Study

Abstract or Executive Summary means the first section of a research paper that provides the study’s purpose, its questions or suggestions, and main findings with conclusions. Moreover, this paragraph of about 150 words should be written when the whole work is finished already (Graham & McCoy, 2014). Hence, abstract sections should describe key aspects of studies, including discussions about the relevance of findings.

Outline or Table of Contents serves as a clear map of the structure of a study.

Introduction provides the main information on problem statements, the indication of methodology, important findings, and principal conclusion. Basically, this section covers rationales behind the work or background research, explanation of the importance, defending its relevance, a brief description of experimental designs, defined study questions, hypotheses, or key aspects (Busse & August, 2020). Hence, scholars should provide a short overview of their studies.

🔸 Literature Review and Research or Experiment

Literature Review is needed for the analysis of past studies or scholarly articles to be familiar with research questions or topics. For example, this section summarizes and synthesizes arguments and ideas from scholarly sources without adding new contributions (Scholz, 2022). In turn, this part is organized around arguments or ideas, not sources.

Methodology or Materials and Methods covers explanations of research designs. Basically, techniques for gathering information and other aspects related to experiments must be described in a research paper. For instance, students and scholars document all specialized materials and general procedures (Turbek et al., 2016). In this case, individuals may use some or all of the methods in further studies or judge the scientific merit of the work. Moreover, scientists should explain how they are going to conduct their experiments.

Results mean the gained information or data after the study or experiment. Basically, scholars should present and illustrate their findings (Turbek et al., 2016). Moreover, this section may include tables or figures.

🔸 Analysis of Findings

Discussion is a section where scientists review the information in the introduction part, evaluate gained results, or compare it with past studies. In particular, students and scholars interpret gained data or findings in appropriate depth. For example, if results differ from expectations at the beginning, scientists should explain why that may have happened (Turbek et al., 2016). However, if results agree with rationales, scientists should describe theories that the evidence is supported.

Recommendations take their roots from a discussion section where scholars propose potential solutions or new ideas based on obtained results. In this case, if scientists have any recommendations on how to improve this research so that other scholars can use evidence in further studies, they must write what they think in this section (Graham & McCoy, 2014). Besides, authors can provide their suggestions for further investigation after their evaluations.

Limitations mean a consideration of research weaknesses and results to get new directions. For instance, if scholars find any limitations in their studies that may affect experiments, scholars must not use such knowledge because of the same mistakes (Busse & August, 2020). Moreover, scientists should avoid contradicting results, and, even more, they must write them in this section.

🔸 The Final Part of a Conducted Research

Conclusion includes final claims of a research paper based on findings. Basically, this section covers final thoughts and the summary of the whole work. Moreover, this section may be used instead of limitations and recommendations that would be too small by themselves (Wankhade, 2018). In this case, scientists do not need to use headings as recommendations and limitations.

Acknowledgments or Appendix may take different forms, from paragraphs to charts. In this section, scholars include additional information about what they did.

References mean a section where students, scholars, or scientists provide all used sources by following the format and academic rules.

How to Write a Research Paper in 7 Steps

Writing any research paper requires following a systematic process. Firstly, writers need to select a focused topic they want to analyze. To achieve this objective, comprehensive preliminary research must be conducted to gather credible and relevant sources (Scholz, 2022). After reviewing the existing literature, writers must develop a clear and concise thesis statement sentence to guide the direction of their studies. Then, organizing the main arguments and evidence into a detailed outline ensures a coherent structure. In turn, the initial draft should be started with a compelling introduction, proceeded with body paragraphs that substantiate the thesis through analysis, and ended with a conclusion that underscores the study’s importance (Turbek et al., 2016). Basically, concluding the work by summarizing the findings and emphasizing the significance of the study is crucial. Moreover, revising and editing for content, coherence, and clarity ensures quality (Busse & August, 2020). Finally, proofreading for grammatical accuracy and ensuring adherence to the required formatting guidelines is necessary before submitting the final paper. Hence, when starting a research paper, writers should do the next:

Step 1: Choose a Topic

• Select a Broad Subject: Begin by identifying a specific subject or theme of interest.
• Narrow Down Your Topic: Focus on a specific aspect of the subject or theme to make your examination more focused.
• Establish the Background: Do a preliminary analysis of sources to ensure there is enough information available and refine your topic further.
• Formulate a Research Question : Create a first draft of a clear, concise research question or thesis statement to guide your study.

Step 2: Conduct Preliminary Analysis

• Gather Credible Sources: Use books, academic journals, scholarly articles, reputable websites, and other primary and secondary sources.
• Choose Only Relevant Sources: Review chosen sources for their content and pick only relevant ones.
• Take Notes: Organize your notes, highlighting key points and evidence and how they relate to your initial thesis.
• Create an Annotated Bibliography: Summarize each source in one paragraph and note how it will contribute to your paper.

Step 3: Develop a Working Thesis Statement

• Be Specific: Revise your initial thesis, making it a working one, outlining the main argument or position of your paper.
• Make It Debatable: Ensure that your working thesis presents a viewpoint that others might challenge or debate.
• Be Concise: Write your working thesis statement in one or two sentences.
• Stay Focused: Your working thesis must be focused and specific.

Step 4: Create an Outline

• Beginning: Outline your opening paragraph, including your working thesis statement.
• Middle Sections : Separate your body into sections with headings for each main point or argument and include sub-points and supporting evidence.
• Ending: Plan your concluding section to summarize your findings and restate your thesis in the light of the evidence presented.
• The List of Sources: Finish your outline by providing citation entries of your sources.

Step 5: Write the First Draft

• Introduction: Start with an engaging opening, provide background information, and state your thesis.
• Body Section: Each body paragraph should focus on a single idea and start with a specific topic sentence, followed by evidence and analysis that supports your thesis.
• Conclusion: Summarize your arguments, restate the importance of your topic, and suggest further investigation, analysis, examination, or possible implications.
• Reference Page: Include the list of references used in your first draft.

Step 6: Revise and Edit

• Content Review: Check for clarity, coherence, and whether each part supports your thesis.
• Structure and Flow: Ensure logical flow of ideas between sections and paragraphs.
• Grammar and Style: Correct grammatical errors, improve sentence structure, and refine your writing style.
• Citations: Ensure all sources are correctly cited in your chosen citation style (APA, MLA, Chicago/Turabian, Harvard, etc.).

Step 7: Finalize Your Paper

• Proofread: Carefully proofread for any remaining errors or typos.
• Format: Ensure your paper adheres to the required format, including title page, headers, font, and margins.
• Reference List: Double-check your bibliography, reference, or works cited page for accuracy.
• Submit: Make sure to submit your paper by the deadline.

In conclusion, a research paper is a formal academic document designed to provide a detailed analysis, interpretation, or argument based on in-depth study. Its structured format includes providing opening components, such as the abstract, outline, and introduction; study aspects, such as literature review, methodology, and results; analysis of findings, such as discussion, recommendations, and limitations; and final parts, such as conclusion, acknowledgments, appendices, and references. Understanding the essential elements and adhering to academic standards ensures the creation of a well-organized and meaningful research paper.

Busse, C., & August, E. (2020). How to write and publish a research paper for a peer-reviewed journal. Journal of Cancer Education , 36 (5), 909–913. https://doi.org/10.1007/s13187-020-01751-z

Goodson, P. (2024). Becoming an academic writer: 50 exercises for paced, productive, and powerful writing . Sage.

Graham, L., & McCoy, I. (2014). How to write a great research paper: A step-by-step handbook. Incentive Publications by World Book.

Scholz, F. (2022). Writing and publishing a scientific paper. ChemTexts , 8 (1), 1–7. https://doi.org/10.1007/s40828-022-00160-7

Turbek, S. P., Chock, T. M., Donahue, K., Havrilla, C. A., Oliverio, A. M., Polutchko, S. K., Shoemaker, L. G., & Vimercati, L. (2016). Scientific writing made easy: A step‐by‐step guide to undergraduate writing in the Biological Sciences. The Bulletin of the Ecological Society of America , 97 (4), 417–426. https://doi.org/10.1002/bes2.1258

Wankhade, L. (2018). How to write and publish a research paper: A complete guide to writing and publishing a research paper . Independent Published.

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What Is a Research Paper? A Definition Explained.

A research paper is an important element of academia that synthesizes existing literature, introduces new insights or data, and contributes to the development of a particular field. This article provides a definition of research papers as well as an overview of its core components in order to facilitate understanding among scholars and students alike. To gain further insight into this topic, readers will explore examples which demonstrate how different types of studies employ various strategies for conducting quality academic research. Additionally, key considerations such as formatting guidelines, ethical protocols and overall purpose are discussed in detail so that readers can develop their own process for successfully writing scholarly works.

I. Introduction

A. definition of research paper, b. purpose of a research paper, ii. what is included in a research paper, a. overview and background information, b. literature review section, c. methodology or methods used iii. conclusions reached by the writer iv . presentation of results found v . analysis and interpretations of findings vi . implications for further study vii . final thoughts.

As the world evolves, so does our understanding of it. Research papers are a way to document and analyze this knowledge in an academic setting. The ability to gather information from different sources, form conclusions about that data, and effectively articulate those findings is an essential skill for any researcher.

A research paper is an organized collection of facts and ideas with evidence to support its argument or hypothesis. Through careful examination of relevant materials such as journal articles, books, interviews or surveys authors can draw their own conclusions about a topic based on what has already been studied by others. Additionally they may include their own interpretations of existing research as well as propose new experiments to expand upon current studies.

• Data collection
• Analysis & Interpretation Conclusion

A Research Paper is a Comprehensive Study Research papers are in-depth studies of various topics, and can be used to showcase knowledge acquired from extensive study. They typically explore both sides of the debate on any given issue or topic, with the purpose of providing an evidence based conclusion at its end. A research paper must contain detailed information about relevant theories and current trends related to the chosen subject matter. The aim is for readers to understand these ideas more fully by examining them within their wider social context.

What Is a Research Paper Definition? In its most basic form, a research paper definition refers to an extended piece of writing that provides arguments regarding some particular claim or concept using existing literature as support. It should also include original data collected through experimentation or observation as well as logical interpretations thereof in order to prove this argument further. In addition, other elements like citations may be required depending on your professor’s guidelines:

• Introduction – contains introductory information such as background facts.
• Methods/Analysis – describe techniques and methods employed when conducting experiments.

Research papers are among the most essential documents in a student’s academic journey. They demonstrate one’s understanding of a certain subject, and how they can apply their knowledge to explore new avenues or further develop existing ideas. Research papers provide readers with evidence that supports your conclusions as well as explaining any findings. Additionally, research papers offer an opportunity for students to hone their writing skills and refine their ability to think critically.

In essence, a research paper is defined as “a document submitted in support of candidature for an academic degree or professional qualification presenting the author’s research and findings”. It is essentially used by academics and researchers alike to present scholarly work on subjects relevant to their field of study, which may be presented at conferences or published in scientific journals.

• It demonstrates one’s understanding
• It provides readers with evidence
• An opportunity for students hone writing skills & thinking critically

Defined: A document submit ted i n suppor t o f candi datur e fo r academi c degre e o r profession al qualificati on presen tin g author’ s researc h & finding s &nbs p ;

The Necessary Components

A research paper can be defined as an academic writing that relies on facts and data to explore a particular topic. It typically follows a structure which includes: introduction, body of evidence/findings, discussion/conclusion. These components are vital for producing scholarly work which is organized in its presentation and backed by reliable sources such as journals or books. The following outlines what constitutes each element of the research paper:

• Introduction – Establishes the context of the study by introducing readers to relevant information regarding the topic.

Understanding Research Papers

Research papers are a form of academic writing that requires students to conduct independent research on a chosen topic. Generally, the objective is for them to develop an original argument or interpretation based upon evidence gathered from reputable sources. The paper should present an organized discussion, and it should include both primary (original texts) as well as secondary (critiques of existing scholarship) source material.

The process of creating a research paper can be daunting because it involves extensive planning and preparation. As such, researchers must adhere closely to accepted conventions when designing their projects; these conventions dictate how they will structure their arguments and organize information within their documents.

• Before starting any project, students must first identify its purpose.
• Next, they need to select relevant data about the subject matter in order to construct an effective thesis statement.

Researchers must then go through the painstaking task of synthesizing multiple viewpoints into one cohesive perspective by synthesizing readings from various sources while keeping track of all references cited throughout the document—a critical step if authors hope for other scholars or professionals in similar fields to take them seriously. Finally, researchers should proofread drafts carefully before submitting final copies for publication or presentation opportunities at conferences.

To produce a compelling research paper, it is essential to conduct an extensive literature review of the existing body of knowledge pertaining to the topic. As stated by Research Paper Definition , “A research paper presents an original thought or position supported and demonstrated through previous work done in the same field”. This section aims to synthesize past studies relevant for this project, categorizing them into categories and exploring possible connections between findings.

The literature review process involves reading scholarly works related to one’s research question in order to uncover new ideas as well as insights that can be included in their own project. To begin with, we will consider various theoretical frameworks from which the current study could benefit most significantly:

• Social constructionism
• Feminist theory

Research papers are one of the best ways to showcase a student’s understanding and knowledge about a particular subject. A research paper is defined as an in-depth written study on any given topic, which involves researching reliable sources and conducting experiments or surveys. This section presents the methodology used by the writer for their research paper.

Based on the information collected using these various methods outlined above, it was concluded that there are several major issues concerning accessibility of public spaces within certain communities – both physical barriers due to lack of infrastructure but also social ones stemming from lack of education regarding disability rights legislation among many residents living in those areas.

The end result revealed crucial insight into how more attention needs to be paid towards ensuring disabled individuals can access all aspects of public life without facing undue discrimination or neglect based solely on their condition(s).

English: In conclusion, a research paper can be defined as an academic piece of writing that utilizes information gathered from primary and/or secondary sources to address a specific topic. A research paper is used to present the author’s analysis and findings on the subject matter, while simultaneously adhering to established conventions for composing such documents. It should also demonstrate evidence-based arguments that are logically sound and offer clear insights into the pertinent issues under examination. Through this definition explanation it is hoped readers have gained an improved understanding of what constitutes a research paper.

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11.1 The Purpose of Research Writing

Learning objectives.

• Identify reasons to research writing projects.
• Outline the steps of the research writing process.

Why was the Great Wall of China built? What have scientists learned about the possibility of life on Mars? What roles did women play in the American Revolution? How does the human brain create, store, and retrieve memories? Who invented the game of football, and how has it changed over the years?

You may know the answers to these questions off the top of your head. If you are like most people, however, you find answers to tough questions like these by searching the Internet, visiting the library, or asking others for information. To put it simply, you perform research.

Whether you are a scientist, an artist, a paralegal, or a parent, you probably perform research in your everyday life. When your boss, your instructor, or a family member asks you a question that you do not know the answer to, you locate relevant information, analyze your findings, and share your results. Locating, analyzing, and sharing information are key steps in the research process, and in this chapter, you will learn more about each step. By developing your research writing skills, you will prepare yourself to answer any question no matter how challenging.

Reasons for Research

When you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic. What will you do, though, when your research is complete? You will need a way to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument. And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Write a paragraph about a time when you used research in your everyday life. Did you look for the cheapest way to travel from Houston to Denver? Did you search for a way to remove gum from the bottom of your shoe? In your paragraph, explain what you wanted to research, how you performed the research, and what you learned as a result.

Research Writing and the Academic Paper

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. For example, a student in an art history course might write a research paper about an artist’s work. Similarly, a student in a psychology course might write a research paper about current findings in childhood development.

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires a lot of time, effort, and organization. However, writing a research paper can also be a great opportunity to explore a topic that is particularly interesting to you. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you remember what you have learned and understand it on a deeper level.

Research Writing at Work

Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment, you will use research techniques to guide your exploration. You may even need to create a written report of your findings. And because effective communication is essential to any company, employers seek to hire people who can write clearly and professionally.

Writing at Work

Take a few minutes to think about each of the following careers. How might each of these professionals use researching and research writing skills on the job?

• Medical laboratory technician
• Small business owner
• Information technology professional
• Freelance magazine writer

A medical laboratory technician or information technology professional might do research to learn about the latest technological developments in either of these fields. A small business owner might conduct research to learn about the latest trends in his or her industry. A freelance magazine writer may need to research a given topic to write an informed, up-to-date article.

Think about the job of your dreams. How might you use research writing skills to perform that job? Create a list of ways in which strong researching, organizing, writing, and critical thinking skills could help you succeed at your dream job. How might these skills help you obtain that job?

Steps of the Research Writing Process

How does a research paper grow from a folder of brainstormed notes to a polished final draft? No two projects are identical, but most projects follow a series of six basic steps.

These are the steps in the research writing process:

• Choose a topic.
• Plan and schedule time to research and write.
• Conduct research.
• Organize research and ideas.
• Draft your paper.
• Revise and edit your paper.

Each of these steps will be discussed in more detail later in this chapter. For now, though, we will take a brief look at what each step involves.

Step 1: Choosing a Topic

As you may recall from Chapter 8 “The Writing Process: How Do I Begin?” , to narrow the focus of your topic, you may try freewriting exercises, such as brainstorming. You may also need to ask a specific research question —a broad, open-ended question that will guide your research—as well as propose a possible answer, or a working thesis . You may use your research question and your working thesis to create a research proposal . In a research proposal, you present your main research question, any related subquestions you plan to explore, and your working thesis.

Step 2: Planning and Scheduling

Before you start researching your topic, take time to plan your researching and writing schedule. Research projects can take days, weeks, or even months to complete. Creating a schedule is a good way to ensure that you do not end up being overwhelmed by all the work you have to do as the deadline approaches.

During this step of the process, it is also a good idea to plan the resources and organizational tools you will use to keep yourself on track throughout the project. Flowcharts, calendars, and checklists can all help you stick to your schedule. See Chapter 11 “Writing from Research: What Will I Learn?” , Section 11.2 “Steps in Developing a Research Proposal” for an example of a research schedule.

Step 3: Conducting Research

When going about your research, you will likely use a variety of sources—anything from books and periodicals to video presentations and in-person interviews.

Your sources will include both primary sources and secondary sources . Primary sources provide firsthand information or raw data. For example, surveys, in-person interviews, and historical documents are primary sources. Secondary sources, such as biographies, literary reviews, or magazine articles, include some analysis or interpretation of the information presented. As you conduct research, you will take detailed, careful notes about your discoveries. You will also evaluate the reliability of each source you find.

Step 4: Organizing Research and the Writer’s Ideas

When your research is complete, you will organize your findings and decide which sources to cite in your paper. You will also have an opportunity to evaluate the evidence you have collected and determine whether it supports your thesis, or the focus of your paper. You may decide to adjust your thesis or conduct additional research to ensure that your thesis is well supported.

Remember, your working thesis is not set in stone. You can and should change your working thesis throughout the research writing process if the evidence you find does not support your original thesis. Never try to force evidence to fit your argument. For example, your working thesis is “Mars cannot support life-forms.” Yet, a week into researching your topic, you find an article in the New York Times detailing new findings of bacteria under the Martian surface. Instead of trying to argue that bacteria are not life forms, you might instead alter your thesis to “Mars cannot support complex life-forms.”

Step 5: Drafting Your Paper

Now you are ready to combine your research findings with your critical analysis of the results in a rough draft. You will incorporate source materials into your paper and discuss each source thoughtfully in relation to your thesis or purpose statement.

When you cite your reference sources, it is important to pay close attention to standard conventions for citing sources in order to avoid plagiarism , or the practice of using someone else’s words without acknowledging the source. Later in this chapter, you will learn how to incorporate sources in your paper and avoid some of the most common pitfalls of attributing information.

Step 6: Revising and Editing Your Paper

In the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally. You will also make sure that your paper uses an appropriate and consistent tone.

Once you feel confident in the strength of your writing, you will edit your paper for proper spelling, grammar, punctuation, mechanics, and formatting. When you complete this final step, you will have transformed a simple idea or question into a thoroughly researched and well-written paper you can be proud of!

Review the steps of the research writing process. Then answer the questions on your own sheet of paper.

• In which steps of the research writing process are you allowed to change your thesis?
• In step 2, which types of information should you include in your project schedule?
• What might happen if you eliminated step 4 from the research writing process?

Key Takeaways

• People undertake research projects throughout their academic and professional careers in order to answer specific questions, share their findings with others, increase their understanding of challenging topics, and strengthen their researching, writing, and analytical skills.
• The research writing process generally comprises six steps: choosing a topic, scheduling and planning time for research and writing, conducting research, organizing research and ideas, drafting a paper, and revising and editing the paper.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Reference management. Clean and simple.

Types of research papers

Analytical research paper

Argumentative or persuasive paper, definition paper, compare and contrast paper, cause and effect paper, interpretative paper, experimental research paper, survey research paper, frequently asked questions about the different types of research papers, related articles.

There are multiple different types of research papers. It is important to know which type of research paper is required for your assignment, as each type of research paper requires different preparation. Below is a list of the most common types of research papers.

➡️ Read more:  What is a research paper?

In an analytical research paper you:

• pose a question
• collect relevant data from other researchers
• analyze their different viewpoints

You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic. It is important to stay neutral and not show your own negative or positive position on the matter.

The argumentative paper presents two sides of a controversial issue in one paper. It is aimed at getting the reader on the side of your point of view.

You should include and cite findings and arguments of different researchers on both sides of the issue, but then favor one side over the other and try to persuade the reader of your side. Your arguments should not be too emotional though, they still need to be supported with logical facts and statistical data.

Tip: Avoid expressing too much emotion in a persuasive paper.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information. You should include facts from a variety of sources, but leave those facts unanalyzed.

Compare and contrast papers are used to analyze the difference between two:

Make sure to sufficiently describe both sides in the paper, and then move on to comparing and contrasting both thesis and supporting one.

Cause and effect papers are usually the first types of research papers that high school and college students write. They trace probable or expected results from a specific action and answer the main questions "Why?" and "What?", which reflect effects and causes.

In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

An interpretative paper requires you to use knowledge that you have gained from a particular case study, for example a legal situation in law studies. You need to write the paper based on an established theoretical framework and use valid supporting data to back up your statement and conclusion.

This type of research paper basically describes a particular experiment in detail. It is common in fields like:

Experiments are aimed to explain a certain outcome or phenomenon with certain actions. You need to describe your experiment with supporting data and then analyze it sufficiently.

This research paper demands the conduction of a survey that includes asking questions to respondents. The conductor of the survey then collects all the information from the survey and analyzes it to present it in the research paper.

➡️ Ready to start your research paper? Take a look at our guide on how to start a research paper .

In an analytical research paper, you pose a question and then collect relevant data from other researchers to analyze their different viewpoints. You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information.

Cause and effect papers are usually the first types of research papers that high school and college students are confronted with. The answer questions like "Why?" and "What?", which reflect effects and causes. In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

This type of research paper describes a particular experiment in detail. It is common in fields like biology, chemistry or physics. Experiments are aimed to explain a certain outcome or phenomenon with certain actions.

How to Write a Research Paper

If you already have a headache trying to understand what research paper is all about, we have created an ultimate guide for you on how to write a research paper. You will find all the answers to your questions regarding structure, planning, doing investigation, finding the topic that appeals to you. Plus, you will find out the secret to an excellent paper. Are you at the edge of your seat? Let us start with the basics then.

• What is a Research Paper
• Reasons for Writing a Research Paper
• Report Papers and Thesis Papers
• How to Start a Research Paper
• How to Choose a Topic for a Research Paper
• How to Write a Proposal for a Research Paper
• How to Write a Research Plan
• How to Do Research
• How to Write an Outline for a Research Paper
• How to Write a Thesis Statement for a Research Paper
• How to Write a Research Paper Rough Draft
• How to Write an Introduction for a Research Paper
• How to Write a Body of a Research Paper
• How to Write a Conclusion for a Research Paper
• How to Write an Abstract for a Research Paper
• How to Revise and Edit a Research Paper
• How to Write a Bibliography for a Research Paper
• What Makes a Good Research Paper

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What is a research paper.

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You probably know the saying ‘the devil is not as black as he is painted’. This particular saying is absolutely true when it comes to writing a research paper. Your feet are cold even with the thought of this assignment. You have heard terrifying stories from older students. You have never done this before, so certainly you are scared. What is a research paper? How should I start? What are all these requirements about?

Luckily, you have a friend in need. That is our writing service. First and foremost, let us clarify the definition. A research paper is a piece of academic writing that provides information about a particular topic that you’ve researched . In other words, you choose a topic: about historical events, the work of some artist, some social issues etc. Then you collect data on the given topic and analyze it. Finally, you put your analysis on paper. See, it is not as scary as it seems. If you are still having doubts, whether you can handle it yourself, we are here to help you. Our team of writers can help you choose the topic, or give you advice on how to plan your work, or how to start, or craft a paper for you. Just contact us 24/7 and see everything yourself.

5 Reasons for Writing a Research Paper

Why should I spend my time writing some academic paper? What is the use of it? Is not some practical knowledge more important? The list of questions is endless when it comes to a research paper. That is why we have outlined 5 main reasons why writing a research paper is a good thing.

• You will learn how to organize your time

If you want to write a research paper, you will have to learn how to manage your time. This type of assignment cannot be done overnight. It requires careful planning and you will need to learn how to do it. Later, you will be able to use these time-managing skills in your personal life, so why not developing them?

• You will discover your writing skills

You cannot know something before you try it. This rule relates to writing as well. You cannot claim that you cannot write until you try it yourself. It will be really difficult at the beginning, but then the words will come to your head themselves.

• You will improve your analytical skills

Writing a research paper is all about investigation and analysis. You will need to collect data, examine and classify it. These skills are needed in modern life more than anything else is.

• You will gain confidence

Once you do your own research, it gives you the feeling of confidence in yourself. The reason is simple human brain likes solving puzzles and your assignment is just another puzzle to be solved.

• You will learn how to persuade the reader

When you write your paper, you should always remember that you are writing it for someone to read. Moreover, you want this someone to believe in your ideas. For this reason, you will have to learn different convincing methods and techniques. You will learn how to make your writing persuasive. In turns, you will be able to use these methods in real life.

What is the Difference between Report and Thesis Papers?

A common question is ‘what is the difference between a report paper and a thesis paper?’ The difference lies in the aim of these two assignments. While the former aims at presenting the information, the latter aims at providing your opinion on the matter. In other words, in a report paper you have to summarize your findings. In a thesis paper, you choose some issue and defend your point of view by persuading the reader. It is that simple.

A thesis paper is a more common assignment than a report paper. This task will help a professor to evaluate your analytical skills and skills to present your ideas logically. These skills are more important than just the ability to collect and summarize data.

How to Write a Research Paper Step by Step

Research comes from the French word  rechercher , meaning “to seek out.” Writing a research paper requires you to seek out information about a subject, take a stand on it, and back it up with the opinions, ideas, and views of others. What results is a printed paper variously known as a term paper or library paper, usually between five and fifteen pages long—most instructors specify a minimum length—in which you present your views and findings on the chosen subject.

It is not a secret that the majority of students hate writing a research paper. The reason is simple it steals your time and energy. Not to mention, constant anxiety that you will not be able to meet the deadline or that you will forget about some academic requirement.

We will not lie to you; a research paper is a difficult assignment. You will have to spend a lot of time. You will need to read, to analyze, and to search for the material. You will probably be stuck sometimes. However, if you organize your work smart, you will gain something that is worth all the effort – knowledge, experience, and high grades.

The reason why many students fail writing a research paper is that nobody explained them how to start and how to plan their work. Luckily, you have found our writing service and we are ready to shed the light on this dark matter.

We have created a step by step guide for you on how to write a research paper. We will dwell upon the structure, the writing tips, the writing strategies as well as academic requirements. Read this whole article and you will see that you can handle writing this assignment and our team of writers is here to assist you.

How to Start a Research Paper?

It all starts with the assignment. Your professor gives you the task. It may be either some general issue or specific topic to write about. Your assignment is your first guide to success. If you understand what you need to do according to the assignment, you are on the road to high results. Do not be scared to clarify your task if you need to. There is nothing wrong in asking a question if you want to do something right. You can ask your professor or you can ask our writers who know a thing or two in academic writing.

It is essential to understand the assignment. A good beginning makes a good ending, so start smart.

Learn how to start a research paper .

Choosing a Topic for a Research Paper

We have already mentioned that it is not enough to do great research. You need to persuade the reader that you have made some great research. What convinces better that an eye-catching topic? That is why it is important to understand how to choose a topic for a research paper.

First, you need to delimit the general idea to a more specific one. Secondly, you need to find what makes this topic interesting for you and for the academia. Finally, you need to refine you topic. Remember, it is not something you will do in one day. You can be reshaping your topic throughout your whole writing process. Still, reshaping not changing it completely. That is why keep in your head one main idea: your topic should be precise and compelling .

Learn how to choose a topic for a research paper .

How to Write a Proposal for a Research Paper?

If you do not know what a proposal is, let us explain it to you. A proposal should answer three main questions:

• What is the main aim of your investigation?
• Why is your investigation important?
• How are you going to achieve the results?

In other words, proposal should show why your topic is interesting and how you are going to prove it. As to writing requirements, they may differ. That is why make sure you find out all the details at your department. You can ask your departmental administrator or find information online at department’s site. It is crucial to follow all the administrative requirements, as it will influence your grade.

Learn how to write a proposal for a research paper .

How to Write a Research Plan?

The next step is writing a plan. You have already decided on the main issues, you have chosen the bibliography, and you have clarified the methods. Here comes the planning. If you want to avoid writer’s block, you have to structure you work. Discuss your strategies and ideas with your instructor. Think thoroughly why you need to present some data and ideas first and others second. Remember that there are basic structure elements that your research paper should include:

• Thesis Statement
• Introduction
• Bibliography

You should keep in mind this skeleton when planning your work. This will keep your mind sharp and your ideas will flow logically.

Learn how to write a research plan .

How to Do Research?

Your research will include three stages: collecting data, reading and analyzing it, and writing itself.

First, you need to collect all the material that you will need for you investigation: films, documents, surveys, interviews, and others. Secondly, you will have to read and analyze. This step is tricky, as you need to do this part smart. It is not enough just to read, as you cannot keep in mind all the information. It is essential that you make notes and write down your ideas while analyzing some data. When you get down to the stage number three, writing itself, you will already have the main ideas written on your notes. Plus, remember to jot down the reference details. You will then appreciate this trick when you will have to write the bibliography.

If you do your research this way, it will be much easier for you to write the paper. You will already have blocks of your ideas written down and you will just need to add some material and refine your paper.

Learn how to do research .

How to Write an Outline for a Research Paper?

To make your paper well organized you need to write an outline. Your outline will serve as your guiding star through the writing process. With a great outline you will not get sidetracked, because you will have a structured plan to follow. Both you and the reader will benefit from your outline. You present your ideas logically and you make your writing coherent according to your plan. As a result, this outline guides the reader through your paper and the reader enjoys the way you demonstrate your ideas.

Learn how to write an outline for a research paper . See research paper outline examples .

How to Write a Thesis Statement for a Research Paper?

Briefly, the thesis is the main argument of your research paper. It should be precise, convincing and logical. Your thesis statement should include your point of view supported by evidence or logic. Still, remember it should be precise. You should not beat around the bush, or provide all the possible evidence you have found. It is usually a single sentence that shows your argument. In on sentence you should make a claim, explain why it significant and convince the reader that your point of view is important.

Learn how to write a thesis statement for a research paper . See research paper thesis statement examples .

Should I Write a Rough Draft for a Research Paper?

Do you know any writer who put their ideas on paper, then never edited them and just published? Probably, no writer did so. Writing a research paper is no exception. It is impossible to cope with this assignment without writing a rough draft.

Your draft will help you understand what you need to polish to make your paper perfect. All the requirements, academic standards make it difficult to do everything flawlessly at the first attempt. Make sure you know all the formatting requirements: margins, words quantity, reference requirements, formatting styles etc.

Learn how to write a rough draft for a research paper .

How to Write an Introduction for a Research Paper?

Let us make it more vivid for you. We have narrowed down the tips on writing an introduction to the three main ones:

• Include your thesis in your introduction

Remember to include the thesis statement in your introduction. Usually, it goes at the end of the first paragraph.

• Present the main ideas of the body

You should tell the main topics you are going to discuss in the main body. For this reason, before writing this part of introduction, make sure you know what is your main body is going to be about. It should include your main ideas.

• Polish your thesis and introduction

When you finish the main body of your paper, come back to the thesis statement and introduction. Restate something if needed. Just make it perfect; because introduction is like the trailer to your paper, it should make the reader want to read the whole piece.

Learn how to write an introduction for a research paper . See research paper introduction examples .

How to Write a Body of a Research Paper?

A body is the main part of your research paper. In this part, you will include all the needed evidence; you will provide the examples and support your argument.

It is important to structure your paragraphs thoroughly. That is to say, topic sentence and the evidence supporting the topic. Stay focused and do not be sidetracked. You have your outline, so follow it.

Here are the main tips to keep in head when writing a body of a research paper:

• Let the ideas flow logically
• Include only relevant information
• Provide the evidence
• Structure the paragraphs
• Make the coherent transition from one paragraph to another

See? When it is all structured, it is not as scary as it seemed at the beginning. Still, if you have doubts, you can always ask our writers for help.

Learn how to write a body of a research paper . See research paper transition examples .

How to Write a Conclusion for a Research Paper?

Writing a good conclusion is important as writing any other part of the paper. Remember that conclusion is not a summary of what you have mentioned before. A good conclusion should include your last strong statement.

If you have written everything according to the plan, the reader already knows why your investigation is important. The reader has already seen the evidence. The only thing left is a strong concluding thought that will organize all your findings.

Never include any new information in conclusion. You need to conclude, not to start a new discussion.

Learn how to write a conclusion for a research paper .

How to Write an Abstract for a Research Paper?

An abstract is a brief summary of your paper, usually 100-200 words. You should provide the main gist of your paper in this short summary. An abstract can be informative, descriptive or proposal. Depending on the type of abstract, you need to write, the requirements will differ.

To write an informative abstract you have to provide the summary of the whole paper. Informative summary. In other words, you need to tell about the main points of your work, the methods used, the results and the conclusion of your research.

To write a descriptive abstract you will not have to provide any summery. You should write a short teaser of your paper. That is to say, you need to write an overview of your paper. The aim of a descriptive abstract is to interest the reader.

Finally, to write a proposal abstract you will need to write the basic summary as for the informative abstract. However, the difference is the following: you aim at persuading someone to let you write on the topic. That is why, a proposal abstract should present your topic as the one worth investigating.

Learn how to write an abstract for a research paper .

Should I Revise and Edit a Research Paper?

Revising and editing your paper is essential if you want to get high grades. Let us help you revise your paper smart:

• Check your paper for spelling and grammar mistakes
• Sharpen the vocabulary
• Make sure there are no slang words in your paper
• Examine your paper in terms of structure
• Compare your topic, thesis statement to the whole piece
• Check your paper for plagiarism

If you need assistance with proofreading and editing your paper, you can turn to the professional editors at our service. They will help you polish your paper to perfection.

Learn how to revise and edit a research paper .

How to Write a Bibliography for a Research Paper?

First, let us make it clear that bibliography and works cited are two different things. Works cited are those that you cited in your paper. Bibliography should include all the materials you used to do your research. Still, remember that bibliography requirements differ depending on the formatting style of your paper. For this reason, make sure you ask you professor all the requirements you need to meet to avoid any misunderstanding.

Learn how to write a bibliography for a research paper .

The Key Secret to a Good Research Paper

Now when you know all the stages of writing a research paper, you are ready to find the key to a good research paper:

• Choose the topic that really interests you
• Make the topic interesting for you even if it is not at the beginning
• Follow the step by step guide and do not get sidetracked
• Be persistent and believe in yourself
• Really do research and write your paper from scratch
• Learn the convincing writing techniques and use them
• Follow the requirements of your assignment
• Ask for help if needed from real professionals

Feeling more confident about your paper now? We are sure you do. Still, if you need help, you can always rely on us 24/7.

We hope we have made writing a research paper much easier for you. We realize that it requires lots of time and energy. We believe when you say that you cannot handle it anymore. For this reason, we have been helping students like you for years. Our professional team of writers is ready to tackle any challenge.

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Additional Resources for Research Paper Writing:

• Anthropology Research
• Career Research
• Communication Research
• Criminal Justice Research
• Health Research
• Political Science Research
• Psychology Research
• Sociology Research

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How to Write a Research Paper: Parts of the Paper

• Choosing Your Topic
• Citation & Style Guides This link opens in a new window
• Critical Thinking
• Evaluating Information
• Parts of the Paper
• Writing Tips from UNC-Chapel Hill
• Librarian Contact

Parts of the Research Paper Papers should have a beginning, a middle, and an end. Your introductory paragraph should grab the reader's attention, state your main idea, and indicate how you will support it. The body of the paper should expand on what you have stated in the introduction. Finally, the conclusion restates the paper's thesis and should explain what you have learned, giving a wrap up of your main ideas.

1. The Title The title should be specific and indicate the theme of the research and what ideas it addresses. Use keywords that help explain your paper's topic to the reader. Try to avoid abbreviations and jargon. Think about keywords that people would use to search for your paper and include them in your title.

2. The Abstract The abstract is used by readers to get a quick overview of your paper. Typically, they are about 200 words in length (120 words minimum to  250 words maximum). The abstract should introduce the topic and thesis, and should provide a general statement about what you have found in your research. The abstract allows you to mention each major aspect of your topic and helps readers decide whether they want to read the rest of the paper. Because it is a summary of the entire research paper, it is often written last. 

3. The Introduction The introduction should be designed to attract the reader's attention and explain the focus of the research. You will introduce your overview of the topic,  your main points of information, and why this subject is important. You can introduce the current understanding and background information about the topic. Toward the end of the introduction, you add your thesis statement, and explain how you will provide information to support your research questions. This provides the purpose and focus for the rest of the paper.

4. Thesis Statement Most papers will have a thesis statement or main idea and supporting facts/ideas/arguments. State your main idea (something of interest or something to be proven or argued for or against) as your thesis statement, and then provide your supporting facts and arguments. A thesis statement is a declarative sentence that asserts the position a paper will be taking. It also points toward the paper's development. This statement should be both specific and arguable. Generally, the thesis statement will be placed at the end of the first paragraph of your paper. The remainder of your paper will support this thesis.

Students often learn to write a thesis as a first step in the writing process, but often, after research, a writer's viewpoint may change. Therefore a thesis statement may be one of the final steps in writing. 

Examples of Thesis Statements from Purdue OWL

5. The Literature Review The purpose of the literature review is to describe past important research and how it specifically relates to the research thesis. It should be a synthesis of the previous literature and the new idea being researched. The review should examine the major theories related to the topic to date and their contributors. It should include all relevant findings from credible sources, such as academic books and peer-reviewed journal articles. You will want  to:

• Explain how the literature helps the researcher understand the topic.
• Try to show connections and any disparities between the literature.
• Identify new ways to interpret prior research.
• Reveal any gaps that exist in the literature.

More about writing a literature review. . .

6. The Discussion ​The purpose of the discussion is to interpret and describe what you have learned from your research. Make the reader understand why your topic is important. The discussion should always demonstrate what you have learned from your readings (and viewings) and how that learning has made the topic evolve, especially from the short description of main points in the introduction.Explain any new understanding or insights you have had after reading your articles and/or books. Paragraphs should use transitioning sentences to develop how one paragraph idea leads to the next. The discussion will always connect to the introduction, your thesis statement, and the literature you reviewed, but it does not simply repeat or rearrange the introduction. You want to: 

• Demonstrate critical thinking, not just reporting back facts that you gathered.
• If possible, tell how the topic has evolved over the past and give it's implications for the future.
• Fully explain your main ideas with supporting information.
• Explain why your thesis is correct giving arguments to counter points.

7. The Conclusion A concluding paragraph is a brief summary of your main ideas and restates the paper's main thesis, giving the reader the sense that the stated goal of the paper has been accomplished. What have you learned by doing this research that you didn't know before? What conclusions have you drawn? You may also want to suggest further areas of study, improvement of research possibilities, etc. to demonstrate your critical thinking regarding your research.

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Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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What is peer review?

Reviewers play a pivotal role in scholarly publishing. The peer review system exists to validate academic work, helps to improve the quality of published research, and increases networking possibilities within research communities. Despite criticisms, peer review is still the only widely accepted method for research validation and has continued successfully with relatively minor changes for some 350 years.

Elsevier relies on the peer review process to uphold the quality and validity of individual articles and the journals that publish them.

Peer review has been a formal part of scientific communication since the first scientific journals appeared more than 300 years ago. The Philosophical Transactions opens in new tab/window of the Royal Society is thought to be the first journal to formalize the peer review process opens in new tab/window under the editorship of Henry Oldenburg (1618- 1677).

Despite many criticisms about the integrity of peer review, the majority of the research community still believes peer review is the best form of scientific evaluation. This opinion was endorsed by the outcome of a survey Elsevier and Sense About Science conducted in 2009 opens in new tab/window and has since been further confirmed by other publisher and scholarly organization surveys. Furthermore, a  2015 survey by the Publishing Research Consortium opens in new tab/window , saw 82% of researchers agreeing that “without peer review there is no control in scientific communication.”

To learn more about peer review, visit Elsevier’s free e-learning platform  Researcher Academy opens in new tab/window and see our resources below.

The peer review process

Types of peer review.

Peer review comes in different flavours. Each model has its own advantages and disadvantages, and often one type of review will be preferred by a subject community. Before submitting or reviewing a paper, you must therefore check which type is employed by the journal so you are aware of the respective rules. In case of questions regarding the peer review model employed by the journal for which you have been invited to review, consult the journal’s homepage or contact the editorial office directly.  

Single anonymized review

In this type of review, the names of the reviewers are hidden from the author. This is the traditional method of reviewing and is the most common type by far. Points to consider regarding single anonymized review include:

Reviewer anonymity allows for impartial decisions , as the reviewers will not be influenced by potential criticism from the authors.

Authors may be concerned that reviewers in their field could delay publication, giving the reviewers a chance to publish first.

Reviewers may use their anonymity as justification for being unnecessarily critical or harsh when commenting on the authors’ work.

Double anonymized review

Both the reviewer and the author are anonymous in this model. Some advantages of this model are listed below.

Author anonymity limits reviewer bias, such as on author's gender, country of origin, academic status, or previous publication history.

Articles written by prestigious or renowned authors are considered based on the content of their papers, rather than their reputation.

But bear in mind that despite the above, reviewers can often identify the author through their writing style, subject matter, or self-citation – it is exceedingly difficult to guarantee total author anonymity. More information for authors can be found in our  double-anonymized peer review guidelines .

Triple anonymized review

With triple anonymized review, reviewers are anonymous to the author, and the author's identity is unknown to both the reviewers and the editor. Articles are anonymized at the submission stage and are handled in a way to minimize any potential bias towards the authors. However, it should be noted that: 

The complexities involved with anonymizing articles/authors to this level are considerable.

As with double anonymized review, there is still a possibility for the editor and/or reviewers to correctly identify the author(s) from their writing style, subject matter, citation patterns, or other methodologies.

Open review

Open peer review is an umbrella term for many different models aiming at greater transparency during and after the peer review process. The most common definition of open review is when both the reviewer and author are known to each other during the peer review process. Other types of open peer review consist of:

Publication of reviewers’ names on the article page 

Publication of peer review reports alongside the article, either signed or anonymous 

Publication of peer review reports (signed or anonymous) with authors’ and editors’ responses alongside the article 

Publication of the paper after pre-checks and opening a discussion forum to the community who can then comment (named or anonymous) on the article 

Many believe this is the best way to prevent malicious comments, stop plagiarism, prevent reviewers from following their own agenda, and encourage open, honest reviewing. Others see open review as a less honest process, in which politeness or fear of retribution may cause a reviewer to withhold or tone down criticism. For three years, five Elsevier journals experimented with publication of peer review reports (signed or anonymous) as articles alongside the accepted paper on ScienceDirect ( example opens in new tab/window ).

Read more about the experiment

More transparent peer review

Transparency is the key to trust in peer review and as such there is an increasing call towards more  transparency around the peer review process . In an effort to promote transparency in the peer review process, many Elsevier journals therefore publish the name of the handling editor of the published paper on ScienceDirect. Some journals also provide details about the number of reviewers who reviewed the article before acceptance. Furthermore, in order to provide updates and feedback to reviewers, most Elsevier journals inform reviewers about the editor’s decision and their peers’ recommendations. 

Article transfer service: sharing reviewer comments

Elsevier authors may be invited to  transfer  their article submission from one journal to another for free if their initial submission was not successful. 

As a referee, your review report (including all comments to the author and editor) will be transferred to the destination journal, along with the manuscript. The main benefit is that reviewers are not asked to review the same manuscript several times for different journals. 

Tools and resources

Interesting reads.

Chapter 2 of Academic and Professional Publishing, 2012, by Irene Hames in 2012 opens in new tab/window

"Is Peer Review in Crisis?" Perspectives in Publishing No 2, August 2004, by Adrian Mulligan opens in new tab/window

“The history of the peer-review process” Trends in Biotechnology, 2002, by Ray Spier opens in new tab/window

Reviewers’ Update articles

Peer review using today’s technology

Lifting the lid on publishing peer review reports: an interview with Bahar Mehmani and Flaminio Squazzoni

How face-to-face peer review can benefit authors and journals alike

Innovation in peer review: introducing “volunpeers”

Results masked review: peer review without publication bias

Elsevier Researcher Academy modules

The certified peer reviewer course opens in new tab/window

Transparency in peer review opens in new tab/window

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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Kim Parker is director of social trends research at Pew Research Center .

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Organizing Your Social Sciences Research Paper

• 6. The Methodology
• Purpose of Guide
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• Reading Research Effectively
• Narrowing a Topic Idea
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• Choosing a Title
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The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.

Importance of a Good Methodology Section

You must explain how you obtained and analyzed your results for the following reasons:

• Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance in the discussion section of your paper.
• Methodology is crucial for any branch of scholarship because an unreliable method produces unreliable results and, as a consequence, undermines the value of your analysis of the findings.
• In most cases, there are a variety of different methods you can choose to investigate a research problem. The methodology section of your paper should clearly articulate the reasons why you have chosen a particular procedure or technique.
• The reader wants to know that the data was collected or generated in a way that is consistent with accepted practice in the field of study. For example, if you are using a multiple choice questionnaire, readers need to know that it offered your respondents a reasonable range of answers to choose from.
• The method must be appropriate to fulfilling the overall aims of the study. For example, you need to ensure that you have a large enough sample size to be able to generalize and make recommendations based upon the findings.
• The methodology should discuss the problems that were anticipated and the steps you took to prevent them from occurring. For any problems that do arise, you must describe the ways in which they were minimized or why these problems do not impact in any meaningful way your interpretation of the findings.
• In the social and behavioral sciences, it is important to always provide sufficient information to allow other researchers to adopt or replicate your methodology. This information is particularly important when a new method has been developed or an innovative use of an existing method is utilized.

Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.

Structure and Writing Style

I.  Groups of Research Methods

There are two main groups of research methods in the social sciences:

• The e mpirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences . This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured. The empirical-analytical group employs deductive reasoning that uses existing theory as a foundation for formulating hypotheses that need to be tested. This approach is focused on explanation.
• The i nterpretative group of methods is focused on understanding phenomenon in a comprehensive, holistic way . Interpretive methods focus on analytically disclosing the meaning-making practices of human subjects [the why, how, or by what means people do what they do], while showing how those practices arrange so that it can be used to generate observable outcomes. Interpretive methods allow you to recognize your connection to the phenomena under investigation. However, the interpretative group requires careful examination of variables because it focuses more on subjective knowledge.

II.  Content

The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.

The remainder of your methodology section should describe the following:

• Decisions made in selecting the data you have analyzed or, in the case of qualitative research, the subjects and research setting you have examined,
• Tools and methods used to identify and collect information, and how you identified relevant variables,
• The ways in which you processed the data and the procedures you used to analyze that data, and
• The specific research tools or strategies that you utilized to study the underlying hypothesis and research questions.

In addition, an effectively written methodology section should:

• Introduce the overall methodological approach for investigating your research problem . Is your study qualitative or quantitative or a combination of both (mixed method)? Are you going to take a special approach, such as action research, or a more neutral stance?
• Indicate how the approach fits the overall research design . Your methods for gathering data should have a clear connection to your research problem. In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper.
• Describe the specific methods of data collection you are going to use , such as, surveys, interviews, questionnaires, observation, archival research. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Also be sure to explain how older data is still relevant to investigating the current research problem.
• Explain how you intend to analyze your results . Will you use statistical analysis? Will you use specific theoretical perspectives to help you analyze a text or explain observed behaviors? Describe how you plan to obtain an accurate assessment of relationships, patterns, trends, distributions, and possible contradictions found in the data.
• Provide background and a rationale for methodologies that are unfamiliar for your readers . Very often in the social sciences, research problems and the methods for investigating them require more explanation/rationale than widely accepted rules governing the natural and physical sciences. Be clear and concise in your explanation.
• Provide a justification for subject selection and sampling procedure . For instance, if you propose to conduct interviews, how do you intend to select the sample population? If you are analyzing texts, which texts have you chosen, and why? If you are using statistics, why is this set of data being used? If other data sources exist, explain why the data you chose is most appropriate to addressing the research problem.
• Provide a justification for case study selection . A common method of analyzing research problems in the social sciences is to analyze specific cases. These can be a person, place, event, phenomenon, or other type of subject of analysis that are either examined as a singular topic of in-depth investigation or multiple topics of investigation studied for the purpose of comparing or contrasting findings. In either method, you should explain why a case or cases were chosen and how they specifically relate to the research problem.
• Describe potential limitations . Are there any practical limitations that could affect your data collection? How will you attempt to control for potential confounding variables and errors? If your methodology may lead to problems you can anticipate, state this openly and show why pursuing this methodology outweighs the risk of these problems cropping up.

NOTE:   Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.

ANOTHER NOTE: If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.

YET ANOTHER NOTE:   If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.

III.  Problems to Avoid

Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.

Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.

Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.

Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].

It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.

Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.

Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.

Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.

Yet Another Writing Tip

Methods and the Methodology

Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].

The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.

Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.

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Sofia Barnett

ChatGPT Is Making Universities Rethink Plagiarism

In late December of his sophomore year, Rutgers University student Kai Cobbs came to a conclusion he never thought possible:  Artificial intelligence might just be dumber than humans. 

After listening to his peers rave about the generative AI tool  ChatGPT , Cobbs decided to toy around with the chatbot while writing an essay on the history of capitalism. Best known for its ability to generate long-form written content in response to user input prompts, Cobbs expected the tool to produce a nuanced and thoughtful response to his specific research directions. Instead, his screen produced a generic, poorly written paper he’d never dare to claim as his own. 

“The quality of writing was appalling. The phrasing was awkward and it lacked complexity,” Cobbs says. “I just logically can’t imagine a student using writing that was generated through ChatGPT for a paper or anything when the content is just plain bad.” 

Not everyone shares Cobbs’ disdain. Ever since OpenAI launched the chatbot in November,  educators have been struggling with how to handle a new wave of student work produced with the help of artificial intelligence. While some public school systems, like New York City’s, have banned the use of ChatGPT on school devices and networks to curb cheating, universities have been reluctant to follow suit. In higher education, the introduction of generative AI has raised thorny questions about the definition of plagiarism and academic integrity on campuses where new digital research tools come into play all the time. 

Make no mistake, the birth of ChatGPT does not mark the emergence of concerns relating to the improper use of the internet in academia. When  Wikipedia launched in 2001 , universities nationwide were  scrambling to decipher their own research philosophies and understandings of honest academic work, expanding policy boundaries to match pace with technological innovation. Now, the stakes are a little more complex, as schools figure out how to treat bot-produced work rather than weird attributional logistics. The world of higher education is playing a familiar game of catch-up, adjusting their rules, expectations, and perceptions as other professions adjust, too. The only difference now is that the internet can think for itself. 

According to ChatGPT, the definition of plagiarism is the act of using someone else’s work or ideas without giving proper credit to the original author. But when the work is generated by some thing rather than some one , this definition is tricky to apply. As Emily Hipchen, a board member of Brown University’s Academic Code Committee, puts it, the use of generative AI by students leads to a critical point of contention. “If [plagiarism] is stealing from a person,” she says, “then I don’t know that we have a person who is being stolen from.”

Hipchen is not alone in her speculation. Alice Dailey, chair of the Academic Integrity Program at Villanova University, is also grappling with the idea of classifying an algorithm as a person, specifically if the algorithm involves text generation.

By Mark Harris

By Christopher Solomon

By Julian Chokkattu

By David Robson

Dailey believes that eventually professors and students are going to need to understand that digital tools that generate text, rather than just collect facts, are going to need to fall under the umbrella of things that can be plagiarized from. 

Although Dailey acknowledges that this technological growth incites new concerns in the world of academia, she doesn’t find it to be a realm entirely unexplored. “I think we’ve been in a version of this territory for a while already,” Dailey says. “Students who commit plagiarism often borrow material from a ‘somewhere’—a website, for example, that doesn’t have clear authorial attribution. I suspect the definition of plagiarism will expand to include things that produce.” 

Eventually, Dailey believes, a student who uses text from ChatGPT will be seen as no different than one that copies and pastes chunks of text from Wikipedia without attribution. 

Students’ views on ChatGPT are another issue entirely. There are those, like Cobbs, who can’t imagine putting their name on anything bot-generated, but there are others who see it as just another tool, like spellcheck or even a calculator. For Brown University sophomore Jacob Gelman, ChatGPT exists merely as a convenient research assistant and nothing more.

“Calling the use of ChatGPT to pull reliable sources from the internet ‘cheating’ is absurd. It’s like saying using the internet to conduct research is unethical,” Gelman says. “To me, ChatGPT is the research equivalent of [typing assistant] Grammarly. I use it out of practicality and that’s really all.” Cobbs expressed similar sentiment, comparing the AI bot to “an online encyclopedia.”

But while students like Gelman use the bot to speed up research, others take advantage of the high-capacity prompt input feature to generate completed works for submission. It might seem obvious what qualifies as cheating here, but different schools across the country offer contrasting takes.

According to Carlee Warfield, chair of Bryn Mawr College’s Student Honor Board, the school considers any use of these AI platforms as plagiarism. The tool’s popularization just calls for greater focus in evaluating the intent behind students’ violations. Warfield explains that students who turn in essays entirely produced by AI are categorically different from those who borrow from online tools without knowledge of standard citations. Because the ChatGPT phenomenon is still new, students’ confusion surrounding the ethics is understandable. And it's unclear what policies will remain in place once the dust settles—at any school.

In the midst of fundamental change in both the academic and technological spheres, universities are forced to reconsider their definitions of academic integrity to reasonably reflect the circumstances of society. The only problem is, society shows no stagnance. 

“Villanova’s current academic integrity code will be updated to include language that prohibits the use of these tools to generate text that then students represent as text they generated independently,” Dailey explained. “But I think it’s an evolving thing. And what it can do and what we will then need in order to keep an eye on will also be kind of a moving target.”

In addition to increasingly complex questions about whether ChatGPT is a research tool or a plagiarism engine, there’s also the possibility that it can be  used for learning. In other educational settings, teachers see it as a way to show students the shortcomings of AI. Some instructors are already  modifying how they teach by giving students assignments bots couldn’t complete, like those that require personal details or anecdotes. There’s also the matter of detecting AI use in students’ work, which is a  burgeoning cottage industry all its own. 

Ultimately, Dailey says, schools may need rules that reflect a range of variables.

“My guess is that there will be the development of some broad blanket policies that essentially say, unless you have permission from a professor to use AI tools, using them will be considered a violation of the academic integrity code,” Dailey says. “That then gives faculty broad latitude to use it in their teaching or in their assignments, as long as they are stipulating explicitly that they are allowing it.”

As for ChatGTP, the program agrees. “Advances in fields such as artificial intelligence are expected to drive significant innovation in the coming years,” it says, when asked how schools can combat academic dishonesty. “Schools should constantly review and update their academic honor codes as technology evolves to ensure they are addressing the current ways in which technology is being used in academic settings.”

But, a bot would say that. 

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A generative AI reset: Rewiring to turn potential into value in 2024

It’s time for a generative AI (gen AI) reset. The initial enthusiasm and flurry of activity in 2023 is giving way to second thoughts and recalibrations as companies realize that capturing gen AI’s enormous potential value is harder than expected .

With 2024 shaping up to be the year for gen AI to prove its value, companies should keep in mind the hard lessons learned with digital and AI transformations: competitive advantage comes from building organizational and technological capabilities to broadly innovate, deploy, and improve solutions at scale—in effect, rewiring the business  for distributed digital and AI innovation.

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QuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe.

Companies looking to score early wins with gen AI should move quickly. But those hoping that gen AI offers a shortcut past the tough—and necessary—organizational surgery are likely to meet with disappointing results. Launching pilots is (relatively) easy; getting pilots to scale and create meaningful value is hard because they require a broad set of changes to the way work actually gets done.

Let’s briefly look at what this has meant for one Pacific region telecommunications company. The company hired a chief data and AI officer with a mandate to “enable the organization to create value with data and AI.” The chief data and AI officer worked with the business to develop the strategic vision and implement the road map for the use cases. After a scan of domains (that is, customer journeys or functions) and use case opportunities across the enterprise, leadership prioritized the home-servicing/maintenance domain to pilot and then scale as part of a larger sequencing of initiatives. They targeted, in particular, the development of a gen AI tool to help dispatchers and service operators better predict the types of calls and parts needed when servicing homes.

Leadership put in place cross-functional product teams with shared objectives and incentives to build the gen AI tool. As part of an effort to upskill the entire enterprise to better work with data and gen AI tools, they also set up a data and AI academy, which the dispatchers and service operators enrolled in as part of their training. To provide the technology and data underpinnings for gen AI, the chief data and AI officer also selected a large language model (LLM) and cloud provider that could meet the needs of the domain as well as serve other parts of the enterprise. The chief data and AI officer also oversaw the implementation of a data architecture so that the clean and reliable data (including service histories and inventory databases) needed to build the gen AI tool could be delivered quickly and responsibly.

Creating value beyond the hype

Let’s deliver on the promise of technology from strategy to scale.

Our book Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI (Wiley, June 2023) provides a detailed manual on the six capabilities needed to deliver the kind of broad change that harnesses digital and AI technology. In this article, we will explore how to extend each of those capabilities to implement a successful gen AI program at scale. While recognizing that these are still early days and that there is much more to learn, our experience has shown that breaking open the gen AI opportunity requires companies to rewire how they work in the following ways.

Figure out where gen AI copilots can give you a real competitive advantage

The broad excitement around gen AI and its relative ease of use has led to a burst of experimentation across organizations. Most of these initiatives, however, won’t generate a competitive advantage. One bank, for example, bought tens of thousands of GitHub Copilot licenses, but since it didn’t have a clear sense of how to work with the technology, progress was slow. Another unfocused effort we often see is when companies move to incorporate gen AI into their customer service capabilities. Customer service is a commodity capability, not part of the core business, for most companies. While gen AI might help with productivity in such cases, it won’t create a competitive advantage.

To create competitive advantage, companies should first understand the difference between being a “taker” (a user of available tools, often via APIs and subscription services), a “shaper” (an integrator of available models with proprietary data), and a “maker” (a builder of LLMs). For now, the maker approach is too expensive for most companies, so the sweet spot for businesses is implementing a taker model for productivity improvements while building shaper applications for competitive advantage.

Much of gen AI’s near-term value is closely tied to its ability to help people do their current jobs better. In this way, gen AI tools act as copilots that work side by side with an employee, creating an initial block of code that a developer can adapt, for example, or drafting a requisition order for a new part that a maintenance worker in the field can review and submit (see sidebar “Copilot examples across three generative AI archetypes”). This means companies should be focusing on where copilot technology can have the biggest impact on their priority programs.

Copilot examples across three generative AI archetypes

• “Taker” copilots help real estate customers sift through property options and find the most promising one, write code for a developer, and summarize investor transcripts.
• “Shaper” copilots provide recommendations to sales reps for upselling customers by connecting generative AI tools to customer relationship management systems, financial systems, and customer behavior histories; create virtual assistants to personalize treatments for patients; and recommend solutions for maintenance workers based on historical data.
• “Maker” copilots are foundation models that lab scientists at pharmaceutical companies can use to find and test new and better drugs more quickly.

Some industrial companies, for example, have identified maintenance as a critical domain for their business. Reviewing maintenance reports and spending time with workers on the front lines can help determine where a gen AI copilot could make a big difference, such as in identifying issues with equipment failures quickly and early on. A gen AI copilot can also help identify root causes of truck breakdowns and recommend resolutions much more quickly than usual, as well as act as an ongoing source for best practices or standard operating procedures.

The challenge with copilots is figuring out how to generate revenue from increased productivity. In the case of customer service centers, for example, companies can stop recruiting new agents and use attrition to potentially achieve real financial gains. Defining the plans for how to generate revenue from the increased productivity up front, therefore, is crucial to capturing the value.

McKinsey Live Event: Unlocking the full value of gen AI

Join our colleagues Jessica Lamb and Gayatri Shenai on April 8, as they discuss how companies can navigate the ever-changing world of gen AI.

Upskill the talent you have but be clear about the gen-AI-specific skills you need

By now, most companies have a decent understanding of the technical gen AI skills they need, such as model fine-tuning, vector database administration, prompt engineering, and context engineering. In many cases, these are skills that you can train your existing workforce to develop. Those with existing AI and machine learning (ML) capabilities have a strong head start. Data engineers, for example, can learn multimodal processing and vector database management, MLOps (ML operations) engineers can extend their skills to LLMOps (LLM operations), and data scientists can develop prompt engineering, bias detection, and fine-tuning skills.

A sample of new generative AI skills needed

The following are examples of new skills needed for the successful deployment of generative AI tools:

• data scientist:
• prompt engineering
• in-context learning
• bias detection
• pattern identification
• reinforcement learning from human feedback
• hyperparameter/large language model fine-tuning; transfer learning
• data engineer:
• data wrangling and data warehousing
• data pipeline construction
• multimodal processing
• vector database management

The learning process can take two to three months to get to a decent level of competence because of the complexities in learning what various LLMs can and can’t do and how best to use them. The coders need to gain experience building software, testing, and validating answers, for example. It took one financial-services company three months to train its best data scientists to a high level of competence. While courses and documentation are available—many LLM providers have boot camps for developers—we have found that the most effective way to build capabilities at scale is through apprenticeship, training people to then train others, and building communities of practitioners. Rotating experts through teams to train others, scheduling regular sessions for people to share learnings, and hosting biweekly documentation review sessions are practices that have proven successful in building communities of practitioners (see sidebar “A sample of new generative AI skills needed”).

It’s important to bear in mind that successful gen AI skills are about more than coding proficiency. Our experience in developing our own gen AI platform, Lilli , showed us that the best gen AI technical talent has design skills to uncover where to focus solutions, contextual understanding to ensure the most relevant and high-quality answers are generated, collaboration skills to work well with knowledge experts (to test and validate answers and develop an appropriate curation approach), strong forensic skills to figure out causes of breakdowns (is the issue the data, the interpretation of the user’s intent, the quality of metadata on embeddings, or something else?), and anticipation skills to conceive of and plan for possible outcomes and to put the right kind of tracking into their code. A pure coder who doesn’t intrinsically have these skills may not be as useful a team member.

While current upskilling is largely based on a “learn on the job” approach, we see a rapid market emerging for people who have learned these skills over the past year. That skill growth is moving quickly. GitHub reported that developers were working on gen AI projects “in big numbers,” and that 65,000 public gen AI projects were created on its platform in 2023—a jump of almost 250 percent over the previous year. If your company is just starting its gen AI journey, you could consider hiring two or three senior engineers who have built a gen AI shaper product for their companies. This could greatly accelerate your efforts.

Form a centralized team to establish standards that enable responsible scaling

To ensure that all parts of the business can scale gen AI capabilities, centralizing competencies is a natural first move. The critical focus for this central team will be to develop and put in place protocols and standards to support scale, ensuring that teams can access models while also minimizing risk and containing costs. The team’s work could include, for example, procuring models and prescribing ways to access them, developing standards for data readiness, setting up approved prompt libraries, and allocating resources.

While developing Lilli, our team had its mind on scale when it created an open plug-in architecture and setting standards for how APIs should function and be built.  They developed standardized tooling and infrastructure where teams could securely experiment and access a GPT LLM , a gateway with preapproved APIs that teams could access, and a self-serve developer portal. Our goal is that this approach, over time, can help shift “Lilli as a product” (that a handful of teams use to build specific solutions) to “Lilli as a platform” (that teams across the enterprise can access to build other products).

For teams developing gen AI solutions, squad composition will be similar to AI teams but with data engineers and data scientists with gen AI experience and more contributors from risk management, compliance, and legal functions. The general idea of staffing squads with resources that are federated from the different expertise areas will not change, but the skill composition of a gen-AI-intensive squad will.

Set up the technology architecture to scale

Building a gen AI model is often relatively straightforward, but making it fully operational at scale is a different matter entirely. We’ve seen engineers build a basic chatbot in a week, but releasing a stable, accurate, and compliant version that scales can take four months. That’s why, our experience shows, the actual model costs may be less than 10 to 15 percent of the total costs of the solution.

Building for scale doesn’t mean building a new technology architecture. But it does mean focusing on a few core decisions that simplify and speed up processes without breaking the bank. Three such decisions stand out:

• Focus on reusing your technology. Reusing code can increase the development speed of gen AI use cases by 30 to 50 percent. One good approach is simply creating a source for approved tools, code, and components. A financial-services company, for example, created a library of production-grade tools, which had been approved by both the security and legal teams, and made them available in a library for teams to use. More important is taking the time to identify and build those capabilities that are common across the most priority use cases. The same financial-services company, for example, identified three components that could be reused for more than 100 identified use cases. By building those first, they were able to generate a significant portion of the code base for all the identified use cases—essentially giving every application a big head start.
• Focus the architecture on enabling efficient connections between gen AI models and internal systems. For gen AI models to work effectively in the shaper archetype, they need access to a business’s data and applications. Advances in integration and orchestration frameworks have significantly reduced the effort required to make those connections. But laying out what those integrations are and how to enable them is critical to ensure these models work efficiently and to avoid the complexity that creates technical debt  (the “tax” a company pays in terms of time and resources needed to redress existing technology issues). Chief information officers and chief technology officers can define reference architectures and integration standards for their organizations. Key elements should include a model hub, which contains trained and approved models that can be provisioned on demand; standard APIs that act as bridges connecting gen AI models to applications or data; and context management and caching, which speed up processing by providing models with relevant information from enterprise data sources.
• Build up your testing and quality assurance capabilities. Our own experience building Lilli taught us to prioritize testing over development. Our team invested in not only developing testing protocols for each stage of development but also aligning the entire team so that, for example, it was clear who specifically needed to sign off on each stage of the process. This slowed down initial development but sped up the overall delivery pace and quality by cutting back on errors and the time needed to fix mistakes.

Ensure data quality and focus on unstructured data to fuel your models

The ability of a business to generate and scale value from gen AI models will depend on how well it takes advantage of its own data. As with technology, targeted upgrades to existing data architecture  are needed to maximize the future strategic benefits of gen AI:

• Be targeted in ramping up your data quality and data augmentation efforts. While data quality has always been an important issue, the scale and scope of data that gen AI models can use—especially unstructured data—has made this issue much more consequential. For this reason, it’s critical to get the data foundations right, from clarifying decision rights to defining clear data processes to establishing taxonomies so models can access the data they need. The companies that do this well tie their data quality and augmentation efforts to the specific AI/gen AI application and use case—you don’t need this data foundation to extend to every corner of the enterprise. This could mean, for example, developing a new data repository for all equipment specifications and reported issues to better support maintenance copilot applications.
• Understand what value is locked into your unstructured data. Most organizations have traditionally focused their data efforts on structured data (values that can be organized in tables, such as prices and features). But the real value from LLMs comes from their ability to work with unstructured data (for example, PowerPoint slides, videos, and text). Companies can map out which unstructured data sources are most valuable and establish metadata tagging standards so models can process the data and teams can find what they need (tagging is particularly important to help companies remove data from models as well, if necessary). Be creative in thinking about data opportunities. Some companies, for example, are interviewing senior employees as they retire and feeding that captured institutional knowledge into an LLM to help improve their copilot performance.
• Optimize to lower costs at scale. There is often as much as a tenfold difference between what companies pay for data and what they could be paying if they optimized their data infrastructure and underlying costs. This issue often stems from companies scaling their proofs of concept without optimizing their data approach. Two costs generally stand out. One is storage costs arising from companies uploading terabytes of data into the cloud and wanting that data available 24/7. In practice, companies rarely need more than 10 percent of their data to have that level of availability, and accessing the rest over a 24- or 48-hour period is a much cheaper option. The other costs relate to computation with models that require on-call access to thousands of processors to run. This is especially the case when companies are building their own models (the maker archetype) but also when they are using pretrained models and running them with their own data and use cases (the shaper archetype). Companies could take a close look at how they can optimize computation costs on cloud platforms—for instance, putting some models in a queue to run when processors aren’t being used (such as when Americans go to bed and consumption of computing services like Netflix decreases) is a much cheaper option.

Build trust and reusability to drive adoption and scale

Because many people have concerns about gen AI, the bar on explaining how these tools work is much higher than for most solutions. People who use the tools want to know how they work, not just what they do. So it’s important to invest extra time and money to build trust by ensuring model accuracy and making it easy to check answers.

One insurance company, for example, created a gen AI tool to help manage claims. As part of the tool, it listed all the guardrails that had been put in place, and for each answer provided a link to the sentence or page of the relevant policy documents. The company also used an LLM to generate many variations of the same question to ensure answer consistency. These steps, among others, were critical to helping end users build trust in the tool.

Part of the training for maintenance teams using a gen AI tool should be to help them understand the limitations of models and how best to get the right answers. That includes teaching workers strategies to get to the best answer as fast as possible by starting with broad questions then narrowing them down. This provides the model with more context, and it also helps remove any bias of the people who might think they know the answer already. Having model interfaces that look and feel the same as existing tools also helps users feel less pressured to learn something new each time a new application is introduced.

Getting to scale means that businesses will need to stop building one-off solutions that are hard to use for other similar use cases. One global energy and materials company, for example, has established ease of reuse as a key requirement for all gen AI models, and has found in early iterations that 50 to 60 percent of its components can be reused. This means setting standards for developing gen AI assets (for example, prompts and context) that can be easily reused for other cases.

While many of the risk issues relating to gen AI are evolutions of discussions that were already brewing—for instance, data privacy, security, bias risk, job displacement, and intellectual property protection—gen AI has greatly expanded that risk landscape. Just 21 percent of companies reporting AI adoption say they have established policies governing employees’ use of gen AI technologies.

Similarly, a set of tests for AI/gen AI solutions should be established to demonstrate that data privacy, debiasing, and intellectual property protection are respected. Some organizations, in fact, are proposing to release models accompanied with documentation that details their performance characteristics. Documenting your decisions and rationales can be particularly helpful in conversations with regulators.

In some ways, this article is premature—so much is changing that we’ll likely have a profoundly different understanding of gen AI and its capabilities in a year’s time. But the core truths of finding value and driving change will still apply. How well companies have learned those lessons may largely determine how successful they’ll be in capturing that value.

The authors wish to thank Michael Chui, Juan Couto, Ben Ellencweig, Josh Gartner, Bryce Hall, Holger Harreis, Phil Hudelson, Suzana Iacob, Sid Kamath, Neerav Kingsland, Kitti Lakner, Robert Levin, Matej Macak, Lapo Mori, Alex Peluffo, Aldo Rosales, Erik Roth, Abdul Wahab Shaikh, and Stephen Xu for their contributions to this article.

This article was edited by Barr Seitz, an editorial director in the New York office.

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Climate change refers to long-term shifts in temperatures and weather patterns. Such shifts can be natural, due to changes in the sun’s activity or large volcanic eruptions. But since the 1800s, human activities have been the main driver of climate change , primarily due to the burning of fossil fuels like coal, oil and gas.

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Every increase in global warming matters

In a series of UN reports , thousands of scientists and government reviewers agreed that limiting global temperature rise to no more than 1.5°C would help us avoid the worst climate impacts and maintain a livable climate. Yet policies currently in place point to a 3°C temperature rise by the end of the century.

The emissions that cause climate change come from every part of the world and affect everyone, but some countries produce much more than others .The seven biggest emitters alone (China, the United States of America, India, the European Union, Indonesia, the Russian Federation, and Brazil) accounted for about half of all global greenhouse gas emissions in 2020.

Everyone must take climate action, but people and countries creating more of the problem have a greater responsibility to act first.

We face a huge challenge but already know many solutions

Many climate change solutions can deliver economic benefits while improving our lives and protecting the environment. We also have global frameworks and agreements to guide progress, such as the Sustainable Development Goals , the UN Framework Convention on Climate Change and the Paris Agreement . Three broad categories of action are: cutting emissions, adapting to climate impacts and financing required adjustments.

Switching energy systems from fossil fuels to renewables like solar or wind will reduce the emissions driving climate change. But we have to act now. While a growing number of countries is committing to net zero emissions by 2050, emissions must be cut in half by 2030 to keep warming below 1.5°C. Achieving this means huge declines in the use of coal, oil and gas: over two-thirds of today’s proven reserves of fossil fuels need to be kept in the ground by 2050 in order to prevent catastrophic levels of climate change.

Adapting to climate consequences protects people, homes, businesses, livelihoods, infrastructure and natural ecosystems. It covers current impacts and those likely in the future. Adaptation will be required everywhere, but must be prioritized now for the most vulnerable people with the fewest resources to cope with climate hazards. The rate of return can be high. Early warning systems for disasters, for instance, save lives and property, and can deliver benefits up to 10 times the initial cost.

We can pay the bill now, or pay dearly in the future

Climate action requires significant financial investments by governments and businesses. But climate inaction is vastly more expensive. One critical step is for industrialized countries to fulfil their commitment to provide $100 billion a year to developing countries so they can adapt and move towards greener economies.

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