How to write a research paper: 10 steps from topic to final draft
The steps from choosing a topic to handing in a polished research paper, with worked examples of a research question, a thesis and a body paragraph.
What a literature review is, what it is for and how to write one that synthesizes sources, with an original example excerpt and a step-by-step method.
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A literature review is a structured survey of the published research on a topic. It doesn't just list sources: it groups them, compares them, judges their strengths and weaknesses, and shows what is known, what is debated and what is still missing. A good literature review reads as an argument about the state of the research, ending with the gap your own work addresses. It can be a section of a research paper or thesis, or a stand-alone assignment.
This guide explains what a literature review does, how it is structured, and how to write one, with an original example excerpt showing the difference between summarizing and synthesizing.
A literature review does four jobs:
A stand-alone literature review does the first three and ends with what future research should do.
| Type | What it does | Where you'll see it |
|---|---|---|
| Narrative (traditional) | Surveys and interprets the research on a topic, selected by the author | Most student papers, theses and dissertations |
| Systematic | Uses a stated search strategy and inclusion rules to find and assess every relevant study, so others can repeat it | Health sciences, education, policy |
| Scoping | Maps how much research exists on a broad topic and what kinds, often to plan a systematic review | Emerging or broad topics |
| Meta-analysis | Combines the numerical results of similar studies statistically | Usually alongside a systematic review |
If your assignment just says "literature review", it almost always means a narrative review.
Like an essay, a literature review has an introduction, a body and a conclusion.
The body groups the research. Choose one of these organizing patterns:
Within each group, discuss several sources together, compare them, and evaluate them.
The difference between a weak and a strong literature review is synthesis: connecting sources rather than reporting them one by one. The example below reviews research on peer tutoring in university mathematics. The studies and authors are invented for this guide, so it shows the technique without borrowing anyone's findings.
Patel (2018) studied peer tutoring at one university and found that students who attended tutoring sessions had higher exam scores. Okoro and Lind (2020) surveyed 400 students and found that tutored students felt more confident. Brandt (2021) found no difference in grades between tutored and untutored students. Nguyen (2022) found that tutoring helped students who attended at least five sessions.
Every sentence is accurate, but the reader has to work out what it all means. The paragraph doesn't say whether tutoring works, why studies disagree, or which evidence is strongest.
Research on peer tutoring in university mathematics broadly suggests a benefit, but the size of that benefit seems to depend on how much tutoring students receive. Studies tracking attendance found higher exam scores among tutored students (Patel, 2018), particularly those attending five or more sessions (Nguyen, 2022). Brandt (2021), however, found no difference in grades, and unlike the other two studies, counted any student who attended a single session as tutored. This difference in definitions may explain the conflicting results. A second limitation runs through this work: students choose whether to attend tutoring, so more motivated students may be overrepresented among the tutored group. Okoro and Lind's (2020) finding that tutored students reported more confidence is consistent with both readings: tutoring may build confidence, or confident students may be the ones who attend. No study in this group assigned students to tutoring at random, leaving open whether tutoring itself raises scores.
What changed:
Here is how the pieces fit together in a short stand-alone review. It uses the same studies, with the strong paragraph above as its first body section. Every study and author in it is invented for this guide, so don't cite them; the example shows the shape of a review, not real findings.
Peer tutoring in university mathematics: a short review
Introduction. Many universities offer peer tutoring for introductory mathematics, usually as drop-in or scheduled sessions led by trained students. This review asks whether tutoring improves students' results in these courses. It covers studies of undergraduate mathematics tutoring published since 2015 and is organized by two themes, effects on grades and effects beyond grades, followed by the limits of the evidence.
Effects on grades. Research on peer tutoring in university mathematics broadly suggests a benefit, but the size of that benefit seems to depend on how much tutoring students receive. Studies tracking attendance found higher exam scores among tutored students (Patel, 2018), particularly those attending five or more sessions (Nguyen, 2022). Brandt (2021), however, found no difference in grades, and unlike the other two studies, counted any student who attended a single session as tutored. This difference in definitions may explain the conflicting results. A second limitation runs through this work: students choose whether to attend tutoring, so more motivated students may be overrepresented among the tutored group. No study in this group assigned students to tutoring at random, leaving open whether tutoring itself raises scores.
Effects beyond grades. Studies of outcomes other than grades are fewer but point the same way. Tutored students report more confidence in mathematics (Okoro & Lind, 2020), and frequent attenders are more likely to take a second mathematics course (Nguyen, 2022). Both findings rest on self-reports or enrollment records, however, and neither study could separate the effect of tutoring from the motivation of the students who chose it.
Conclusion. Taken together, these studies link peer tutoring to better grades and greater confidence, especially for students who attend regularly. Because students choose whether to attend, and studies define "tutored" differently, the evidence cannot yet show that tutoring causes these gains. A study that assigns students to tutoring at random, or compares similar students with and without access, would close this gap.
Notice that each section opens with a claim about the research, the introduction states the scope, and the conclusion names the gap. A real review would end with a reference list giving the full details of every source it cites.
Write the question your review answers, such as "What does research show about the effect of peer tutoring on university mathematics outcomes?" Then set limits: years, populations, countries, kinds of study. Limits keep the review manageable and should be stated in your introduction.
Use your library's databases for your field, plus Google Scholar. Keep a list of search terms and combinations so you can repeat and extend the search. Two habits find sources that keyword searches miss:
For each source, record the same things: the question, the method, the sample, the main findings, limitations, and how it relates to other sources. A table or spreadsheet with one row per source makes patterns easy to spot.
| Source | Method | Sample | Finding | Limitation |
|---|---|---|---|---|
| Patel (2018) | Attendance records and grades | One university | Tutored students scored higher | Self-selection |
| Brandt (2021) | Grade comparison | Two universities | No difference | Counted one session as tutored |
It also helps to save the exact passage a note came from, with its page number, so you can check your reading when you write. In ScribeSprout's Reader, you can save a passage of a source as a note that links back to where it came from, and get a summary of a source in which every point cites the passage it came from.
Look across your notes for:
These patterns become the themes of your body.
Make each theme a section heading, and list the sources you'll discuss under it. For the tutoring example:
Start each paragraph with a claim about the research, then bring in the sources that support, qualify or challenge it. Useful phrases for connecting sources:
With the body done, write an introduction that sets out the scope and organization, and a conclusion that pulls the patterns together and states the gap. Then revise: check that every paragraph synthesizes, that every source is cited correctly, and that the gap you name follows from the evidence you've reviewed.
It looks like an essay with headings, not a list. There is an introduction setting out the topic and scope, a body divided into themed sections that discuss several sources together, and a conclusion naming the main patterns and the gap. In-text citations appear throughout, and a full reference list follows.
It is the section, often after the introduction, that surveys earlier research on your topic and shows where your study fits. In a short paper it may be a few paragraphs inside the introduction; in a longer paper or thesis it is usually its own section or chapter.
To show what is already known about a topic, evaluate the quality of that research, and identify what is missing. In a research paper, it also justifies your study by showing the gap it fills.
It depends on the assignment. As a rough guide, a literature review section in a research paper is often about 15 to 25 percent of the paper, while a stand-alone review for a course may be 2,000 to 5,000 words, and a thesis chapter longer still. Always follow your assignment instructions.
Enough to represent the main research on your question fairly. A short undergraduate review might use 10 to 20 sources and a thesis chapter many more, but your instructor's requirement comes first. Quality and relevance matter more than the count.
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