What is a literature review — and what it is not

A literature review is a critical, synthesised account of existing knowledge on your research topic. It shows what is known, how it is known, where scholars disagree, and — most importantly — where a genuine gap exists that your research will address.

What it is not: a reading list, an annotated bibliography, a chronological history of the field, or a series of summaries. The most common failure mode is a review that reads as a sequence of paragraphs beginning "Smith (2020) found that… Jones (2021) argued that… Chen (2022) showed that…" — each paper treated as a separate item rather than a thread in a larger argument. That is description, not review.

⚖️ Compare

Description (weak): "Adeyemi (2022) studied digital literacy among Nigerian students and found low levels of access. Okafor (2023) examined policy frameworks and noted implementation gaps."

Synthesis (strong): "Despite consistent evidence of low digital access among Nigerian students (Adeyemi, 2022; Musa, 2021), the policy literature reveals a persistent gap between frameworks proposed and institutional implementation — a disconnect Okafor (2023) attributes to underfunded training infrastructure rather than policy design."

The synthesised version does what a literature review must do: it connects sources, identifies a pattern, and points toward a specific explanatory problem worth investigating.


The four types of literature review — and which one you need

Not all literature reviews are the same. The type you write depends on your purpose: is this for a PhD thesis chapter, a standalone journal article, a grant proposal, or a systematic review publication? Getting this wrong wastes weeks of work.

Narrative / Thematic review

PhD thesis chapters, grant proposals, journal article introductions

The most common form. You select and synthesise sources thematically to build an argument toward your gap. There is no formal search protocol — selection is purposive and guided by relevance. This is the type most PhD students are writing.

Systematic review

Health sciences, evidence synthesis publications, Cochrane-style reviews

Follows a strict, reproducible search protocol with defined inclusion/exclusion criteria. Every search step is documented so it can be replicated. Usually requires a team. If your PhD chapter uses this approach without the protocol, it is actually a narrative review.

Scoping review

Mapping a new or broad field, identifying research volume and gaps

Like a systematic review in structure, but the goal is to map the extent and nature of evidence rather than synthesise findings to answer a specific question. Useful when a field is new or the literature is heterogeneous.

Meta-analysis

Quantitative synthesis of effect sizes across multiple studies

Combines statistical results across studies to produce an aggregate effect estimate. Requires a sufficient number of comparable quantitative studies to be meaningful. Rarely the type required for a PhD chapter — though findings from published meta-analyses should be cited where they exist.

💡 Pro tip

For most PhD proposals and grant applications, you are writing a thematic narrative review. Confirm this with your supervisor before starting. If you are in health sciences and your supervisor expects a systematic review, the process is significantly more involved.

Before you write: searching and organising your sources

The quality of your literature review is capped by the quality of your search. Researchers who start writing too early, before they have read widely enough, end up missing key papers — and supervisors and reviewers notice. A structured search phase takes time upfront but saves it later.

Define your scope before searching

Scope means knowing what you are and are not looking for before you open any database. At minimum, define: your disciplinary boundaries (are you searching only within your field or across related disciplines?), your date range (typically the last 10–15 years, with older sources for seminal works), your geographic focus (is the review global or region-specific?), and your language (most academic databases will return English-language results by default — decide whether you need to expand this).

Build a keyword list with Boolean logic

Search engines and academic databases respond to Boolean operators: AND, OR, NOT. Build a keyword table before you search. For each core concept in your research question, list synonyms and related terms in a column — then combine columns with AND and items within a column with OR.

📄 Example

Research question: How does digital access affect academic performance among university students in Nigeria?

Concept 1 (access): digital access OR internet access OR technology access OR ICT access
Concept 2 (outcomes): academic performance OR student outcomes OR learning outcomes OR achievement
Concept 3 (context): Nigeria OR West Africa OR sub-Saharan Africa OR African universities

Full search string: (digital access OR internet access OR ICT access) AND (academic performance OR learning outcomes) AND (Nigeria OR West Africa OR African universities)

Screen systematically

After your initial search returns results, screen in two passes: first by title and abstract (can you rule it out based on these alone?), then by full text for the papers that pass the first screen. Keep a simple log of how many papers were returned, how many passed each screen, and why papers were excluded. For a PhD proposal, this log demonstrates methodological rigour. For a systematic review, it is mandatory.

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Best academic databases — by field and access type

Not all databases index the same journals. Using only Google Scholar is a common mistake — it has broad coverage but inconsistent indexing and no advanced filtering. Use field-appropriate databases as your primary source and Google Scholar as a supplement.

Google Scholar

Free

Coverage

Cross-disciplinary; broad but inconsistent indexing

Best for

Initial discovery, citation tracking, grey literature

PubMed / MEDLINE

Free

Coverage

Biomedical, health sciences, clinical research

Best for

Health and life sciences; required for health-related systematic reviews

Web of Science

Paid

Coverage

Multidisciplinary; strong STEM and social sciences coverage

Best for

Citation analysis, impact metrics, advanced filtering

Scopus

Paid

Coverage

Multidisciplinary; largest abstract and citation database

Best for

Bibliometric analysis, journal quality filtering

JSTOR

Partial free

Coverage

Humanities, social sciences, arts

Best for

Historical literature, humanities disciplines

African Journals Online (AJOL)

Partial free

Coverage

African academic journals across all disciplines

Best for

Nigeria and Africa-specific literature often missing from global databases

EBSCOhost / ERIC

Paid (via institutions)

Coverage

Education, psychology, social sciences

Best for

Education research, teacher training, curriculum studies

💡 Pro tip

If your Nigerian university does not have Scopus or Web of Science subscriptions, use Espii as your primary database — it indexes the same journals and is completely free. Espii's literature tools gives you unfiltered, research-matched results without a subscription.

How to structure a literature review

The most effective structure for a thematic literature review follows three moves: establish the field, identify the debate, locate the gap. Every paragraph, every section, should serve one of these three purposes.

Move 1 — Establish what is known (broad → narrow)

Open by situating your topic within its broader context. What do we know about the general phenomenon? What is the established consensus in the field? This section surveys the landscape and orients your reader. It should not be exhaustive — select the most significant and cited works, not every paper ever written on the subject.

Move 2 — Identify debates, tensions, and contradictions

Real fields have arguments in them. Where do scholars disagree? Where do studies reach conflicting conclusions, and why? Showing that you understand the debates in your field — and can explain the methodological or theoretical reasons behind disagreements — is what distinguishes a sophisticated review from a surface-level survey.

Move 3 — Locate the gap and justify your research

This is the most important move in the review, and the one most PhD students underwrite. The gap you identify must be specific, evidenced, and clearly connected to your research questions. It is not enough to say "this has not been studied" — you must explain why the absence matters, who is affected by it, and how your research will address it.

📄 Example

Weak gap statement: "There is a lack of research on digital literacy in Nigerian universities."

Strong gap statement:"While digital literacy has been extensively studied in US and European higher education contexts (Liu, 2021; Thompson & Webb, 2022), the literature on Nigerian universities remains fragmented — confined largely to single-institution case studies (Adeyemi, 2022; Musa, 2021) that cannot account for the policy variation between federal, state, and private institutions. No study has examined how institutional type moderates the relationship between digital access and academic outcomes across the Nigerian university system."

The strong version is specific about what exists, specific about what does not, and identifies the exact variable and context that your research will address. A reviewer reading this knows exactly what gap is being filled and why it matters.


The synthesis matrix — your most useful organising tool

Before you write a single sentence of your review, build a synthesis matrix. This is a table where each row is a source and each column is a theme, concept, or variable relevant to your research question. Filling it out forces you to read actively rather than passively, and the patterns that emerge — which themes are well-covered, which are absent — directly reveal your research gap.

AuthorTechnology accessPolicy contextStudent outcomesInstitutional factorsKey gap
Adeyemi et al. (2022)No longitudinal data
Chen & Park (2021)Single country only
Okafor (2023)Quantitative only
Müller et al. (2020)Pre-pandemic data

Example synthesis matrix — columns represent themes, rows represent sources. Patterns of absence reveal your research gap.

Once the matrix is complete, your literature review structure almost writes itself: each column with significant coverage becomes a thematic section; cells that are mostly empty point toward your gap; papers that appear across multiple columns are your most important sources and should be cited and discussed in depth.

💡 Pro tip

Build the matrix in a Google Sheet or Notion table, not a Word document. Add a "Key argument" column and a "Methodology" column alongside your theme columns — this makes it easier to identify methodological gaps (e.g. all studies are qualitative, or all use student samples rather than staff).

Identifying a genuine research gap

Not every unexplored area is a research gap worth filling. The question is not just "has this been studied?" but "does it matter that it has not been studied?" A gap is only worth pursuing if it has consequences — for theory, for practice, for policy, or for the communities affected by the phenomenon you are studying.

Types of gaps to look for

  • Contextual gap: A phenomenon is well-studied elsewhere but not in your specific context (e.g. well-studied in the US but not in Nigeria or sub-Saharan Africa)
  • Population gap: Existing research covers one group but not another (e.g. studied in adult learners but not in undergraduate students)
  • Methodological gap: Existing studies all use one method and a different approach would yield new insights (e.g. all quantitative; no qualitative understanding of lived experience)
  • Temporal gap: The literature predates a significant change in the field (e.g. pre-COVID studies on remote learning are now less applicable)
  • Theoretical gap: Existing work applies one theoretical framework and another lens would illuminate overlooked dimensions
  • Variable gap: A key variable has been studied in isolation but never in combination with another relevant factor

⚠️ Watch out

Be honest with yourself about whether you have found a genuine gap or simply not read widely enough yet. Supervisors and grant reviewers can distinguish between "this hasn't been studied" and "I haven't found the studies that exist." Run your proposed gap past your supervisor before writing the review around it.

8 literature review mistakes that weaken PhD proposals and grant applications

  1. Summarising instead of synthesising. The single most common error. Each paragraph should make a point about what the literature collectively shows — not describe what individual papers found. If your paragraphs start with author names rather than arguments, you are summarising.
  2. Not stating the gap explicitly. Many researchers imply their gap without stating it directly. Reviewers should not have to infer it. Write a sentence that says precisely what is missing from the literature and why your research fills that exact space.
  3. Over-relying on secondary sources. Citing a textbook that cites the original study, rather than reading the original study yourself, is a risk. The textbook may have misrepresented the finding. Read primary sources for anything central to your argument.
  4. Using outdated literature as current evidence. A 2009 study can be cited as a foundational or historical reference, but should not be presented as current evidence of what is known. Fields move quickly; a review that relies heavily on decade-old sources signals you have not engaged with recent developments.
  5. Only citing literature that supports your view. A strong review acknowledges contradictory findings and explains them. Ignoring studies that complicate your argument makes the review look selective and weakens your credibility as a researcher.
  6. Searching only one database. No single database covers everything. A review based only on Google Scholar will miss discipline-specific journals, African-published research (use AJOL), and grey literature. Use at least three sources.
  7. No clear connection to your research questions. The literature review must lead somewhere. If a reader finishes it without understanding why your specific research questions are the logical next step, the review has not done its job. The gap you identify should directly motivate your objectives.
  8. Inconsistent citation formatting. Mixing APA and Chicago, inconsistent author formatting, or missing page numbers for direct quotes are all signals of carelessness. Use a reference manager (Zotero is free) to enforce consistency automatically.

Full literature review checklist (interactive)

Work through this checklist as you plan, search, and write. Tick each item as you complete it.

Literature Review Checklist

0 of 24 completed

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Preparation

Searching & Screening

Organisation

Writing

Quality Check

Literature reviewed. Now find the grants to fund it.

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Frequently asked questions

How long should a literature review be for a PhD proposal?+
For a PhD research proposal, the literature review is typically 600–1,500 words. For a standalone PhD thesis chapter, it is usually 6,000–12,000 words depending on your institution and field. For a grant proposal, funders often limit it to 400–800 words. Always check your institution's or funder's specific guidelines first.
How many sources should a literature review include?+
Quality and relevance matter more than quantity. A strong PhD proposal literature review typically draws on 20–40 sources. A full thesis chapter may reference 60–120+. For grant proposals, 15–30 well-chosen sources are usually sufficient. Avoid padding with tangentially related papers — reviewers notice.
What is the difference between a literature review and an annotated bibliography?+
An annotated bibliography lists sources with a brief description of each. A literature review synthesises across sources to build an argument. They are fundamentally different tasks — a literature review uses sources as evidence for claims about the state of a field, not as items to be described one by one.
Can I use AI tools to help write my literature review?+
AI tools can assist with summarising individual papers, suggesting related literature, and improving sentence clarity — but the intellectual work of synthesis, gap identification, and critical analysis must be your own. Supervisors and reviewers evaluate whether you understand the literature, not whether you can produce text about it. Use AI as a research assistant, not a ghostwriter.
Which databases are best for Nigerian or African researchers with limited subscriptions?+
OpenAlex is the best free cross-disciplinary database — it indexes over 250 million works with no subscription required. Supplement it with Google Scholar for discovery, African Journals Online (AJOL) for Africa-specific literature, and PubMed for health sciences. Espii's literature tools are built on OpenAlex and surface research relevant to your specific area automatically.
How do I know when I have read enough literature?+
A useful signal is theoretical saturation — when new papers you encounter are mostly already in your reference list, or new ones keep pointing back to sources you have already read. Another signal is when you can describe the key debates, major findings, and main researchers in your field from memory. If you are still encountering major new concepts with each paper, keep searching.

About this article

Written by the Espii Research Team and updated June 2026. Espii is an AI-powered research and grant discovery platform serving academic researchers, universities, and NGOs globally. Read more research guides →