How to Write a Literature Review
A literature review is a critical synthesis of scholarly sources that maps what is known, where findings agree or conflict, and where a genuine gap remains. To write one, define a focused question, plan a systematic search, evaluate and synthesize credible sources, and present a logical structure that advances an argument rather than a summary.
Table of Contents
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What a Literature Review Is—and Isn’t
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Finding and Evaluating Sources
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Structuring the Review
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Step-by-Step Template
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Editing, Formatting, and Common Pitfalls
What a Literature Review Is—and Isn’t
A literature review is not an annotated bibliography or a string of summaries. It is a mini-argument that establishes the intellectual context for a study, coursework, thesis, or dissertation. The best reviews do three things at once: describe what has been done, compare how and why studies differ, and critique methods or claims to surface a clear research gap.
Purpose and outcomes. A strong review helps you (1) sharpen your research question; (2) select appropriate methods by learning from prior designs; (3) avoid duplication; and (4) justify the significance of your project. In coursework, it shows command of the field; in theses and dissertations, it frames the contribution your study will make.
Scope and depth. Typical coursework reviews range from 1,500–3,000 words. Thesis or dissertation chapters run much longer, often 6,000–12,000+ words. The depth is more important than length: instructors and examiners look for synthesis (patterns, themes, debates) rather than exhaustive enumeration.
Key mindset shift. Move from “What did each author say?” to “How do these sources talk to each other?” Ask whether findings converge, what assumptions drive different results, and which limitations are common across the literature.
Finding and Evaluating Sources
Start with a deliberate search strategy. Convert your topic into a focused research question and derive keywords plus synonyms. Combine them with Boolean operators (AND/OR/NOT) and, when relevant, controlled vocabulary from major databases. Keep a record of your exact queries so your process is transparent and repeatable.
Where to search. Prioritize peer-reviewed journals accessed through disciplinary databases. Expand carefully to books and handbooks for theory, and conference proceedings for emerging methods. Use government or NGO reports when policy or population statistics matter, but verify methodology. Preprints can be useful for cutting-edge topics; treat them with caution until peer review occurs.
Inclusion and exclusion criteria. Decide in advance what qualifies: date range, population, setting, method, outcome measures, and language. Log reasons for excluding papers (“duplicate dataset,” “insufficient method detail,” “non-comparable measure”). This prevents bias and shows professional rigor.
Quality appraisal. Evaluate each study’s design, sample, measurement validity, analysis, and limitations. Ask whether conclusions are warranted by evidence and whether confounds were addressed. For qualitative work, look for transparency in coding, triangulation, and reflexivity. For quantitative work, scrutinize power, effect sizes, and robustness checks.
When a table helps. The following compact guide clarifies which source types deliver what value and what to watch out for:
| Source type | Typical value | Use with care when… |
|---|---|---|
| Peer-reviewed journal articles | Current findings; methods you can adapt; solid evidence base | The study is underpowered, measures differ from your field, or conclusions overreach the data |
| Scholarly books/handbooks | Theoretical frameworks; historical context; authoritative overviews | The edition is dated or the author argues beyond the evidence base |
| Conference proceedings | Cutting-edge methods; early results | The work hasn’t passed peer review; details may be too sparse to evaluate rigor |
| Government/NGO reports | Large datasets; policy relevance; population statistics | Methods are opaque or political incentives may shape framing |
| Theses/dissertations | Specialized datasets; exhaustive reviews; instrument appendices | Quality varies; cite judiciously and corroborate with published studies |
| Preprints | Fast access to new work | Findings may change post-review; avoid relying on unvetted conclusions |
Mini-example (search logic). Suppose your question is: How do mobile health interventions affect medication adherence in adults with type 2 diabetes? Your search string might combine (“mHealth” OR “mobile app” OR “text messaging”) AND (“medication adherence”) AND (“type 2 diabetes” OR T2D), then layer inclusion criteria (adults, RCTs since 2015) and screen titles/abstracts before reading full texts.
Structuring the Review
A clear structure keeps readers oriented and underscores your argument. Choose the organizing principle that best matches your research question and the shape of the literature.
Thematic structure. Group studies by recurring issues (e.g., “User Engagement,” “Clinical Outcomes,” “Equity and Access”). This is the most flexible approach and works well when the field is diverse. Within each theme, compare methods and explain divergent results.
Methodological structure. Organize by research design (randomized trials, quasi-experimental, qualitative ethnographies, mixed methods). This suits topics where how people study the problem is itself contested.
Chronological structure. Use when the field evolves over time (e.g., pre-smartphone SMS interventions → app-based nudges → AI-assisted personalization). Avoid mere timeline narration; focus on turning points and how methods matured.
Theoretical structure. Anchor discussion in frameworks (e.g., Technology Acceptance Model, Self-Determination Theory) and show how they shape hypotheses, measures, and interpretations. Useful when studies disagree because they start from different theoretical lenses.
Thesis statement for the review. Your introduction should culminate in a one-to-two-sentence claim that captures the state of the field and points to a gap. For instance: “While mobile interventions consistently improve short-term adherence, heterogeneity in engagement strategies and limited long-term follow-up hinder confident recommendations for chronic disease management.” That claim then guides the rest of the chapter.
Step-by-Step Template
Use the following H3 sub-sections as a working template. Replace the example details with your own topic.
Step 1: Clarify the question and scope
Write a precise research question and note the population, intervention/exposure, comparator, outcome, and context where relevant. Define what success looks like (e.g., identifying mechanisms, evaluating effect sizes, mapping theories) and what you will not cover.
Step 2: Build a search strategy
List primary keywords, synonyms, and controlled vocabulary. Draft initial Boolean strings, then refine them after pilot searches. Decide on databases and a date range that makes sense for your field. Note how you will capture grey literature (if relevant) without letting it overwhelm quality signals.
Step 3: Search and track
Run searches and record every query. Export results to a spreadsheet or a citation manager. Track duplicate removals, note the database, and retain abstracts for screening. This audit trail will save time during write-up and support transparency.
Step 4: Screen and select
Screen titles and abstracts against your inclusion/exclusion criteria. For borderline cases, skim methods and results before deciding. Keep a column labeled “reason for exclusion” to avoid second-guessing later and to show rigor.
Step 5: Read and annotate
For each included study, capture: research question, design, sample, measures, findings, limitations, and notes on quality. A synthesis matrix (studies as rows, themes as columns) turns scattered notes into a bird’s-eye view. If patterns are unclear, revisit your themes or try a different organizing principle.
Step 6: Synthesize—not summarize
Group studies that ask similar questions or use similar methods and explain differences. For instance, if two randomized trials disagree, consider sample size, follow-up duration, attrition, and intervention intensity. Distill what the weight of evidence suggests, where uncertainty remains, and why.
Mini-example (synthesis paragraph).
Across six randomized trials, app-based reminders improved short-term adherence by modest margins, but effects attenuated beyond six months. Studies that paired reminders with in-app coaching or family prompts sustained gains longer, suggesting engagement mechanisms rather than notification frequency drive outcomes.
Step 7: Outline and write
Draft an introduction that frames the problem, defines scope, and states your thesis claim. Build body sections around your chosen structure (themes, methods, timeline, or theory). Use topic sentences to signal the logic of each paragraph (“Evidence for X is consistent across A and B; however, C introduces uncertainty…”). End with a gap statement that logically sets up your project.
Step 8: Revise and format
Edit for coherence (do sections flow?), concision, and precision. Replace generic verbs (“shows,” “proves”) with reporting verbs that match the evidence (“estimates,” “suggests,” “qualifies”). Paraphrase accurately, quote sparingly, and ensure citation consistency with the required style (APA 7th, MLA 9th, or Chicago). Finish with a clean reference list and consistent headings, spacing, and margins.
Editing, Formatting, and Common Pitfalls
Editing strategy. Read your draft once for argument (does the thesis statement truly emerge from the evidence?) and once for architecture (do sections build logically?). Finally, polish sentence-level clarity: shorten long sentences, remove filler phrases, and keep subject–verb–object order where possible.
Style and voice. Aim for a confident, neutral tone. Use hedging where appropriate (“may,” “appears,” “is consistent with”) to avoid overstating findings. Balance paraphrase and selective quoting, but never rely on strings of quotations to carry the argument.
Academic integrity. Proper attribution is non-negotiable. Paraphrasing means re-expressing ideas in your own structure and vocabulary, not merely swapping synonyms. Keep track of page numbers for any close paraphrase to support accurate citation. Use originality checks as a final safeguard, not as a substitute for careful note-taking.
Formatting accuracy. Confirm details that instructors notice: title page requirements, headings levels, in-text citation punctuation, DOI or URL rules, and reference list capitalization specific to your assigned style. Small inconsistencies signal inattention; a flawless references section communicates professionalism.
Typical pitfalls to avoid. Common problems include scope creep (review becomes a general essay), descriptive summaries without comparison, unjustified exclusions, overreliance on low-quality sources, and conclusions that exceed the evidence. Build in time for revision to guard against these traps.
Example outline you can adapt
Introduction (1–2 paragraphs). Define the problem space, set the boundaries of your review, preview the organizing principle, and end with a thesis-style claim about the state of knowledge and the gap.
Body (3–5 sections). Each section develops a theme or method cluster. Start with a signposting sentence, synthesize converging findings, then spotlight tensions or limits. Where studies conflict, propose plausible reasons (measurement differences, sampling frames, follow-up duration).
Conclusion (1–2 paragraphs). Summarize what the field knows with confidence, articulate the gap your own project will address, and briefly indicate how your methods or perspective overcome prior limitations.
Sample wording you can repurpose
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Introducing a theme: “Across qualitative and quantitative studies, three engagement mechanisms recur: personalization, social support, and timely prompts.”
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Explaining disagreement: “Differences in effect size appear linked to follow-up duration and the intensity of coaching components.”
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Stating a gap: “Long-term adherence beyond six months remains under-examined, particularly in diverse, non-specialist settings.”
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Framing your contribution: “By combining a randomized design with mixed-methods process evaluation, the present study clarifies which components sustain behavior change.”