A literature review is essential for graduate essays, dissertations, theses, and research projects. It aims to explore existing knowledge on your topic by analysing scholarly articles and relevant sources. This process demonstrates your grasp of the subject.
By reviewing the literature, you should identify key themes, compare perspectives, and spot gaps in existing research. This sets the context for your work, emphasising its significance in the field.
There are a range of different types of literature review and their relevance can depend on the purpose it is required for. See below for more information.
Finding the right type of review you need for your research can be half the battle, there are lots of different types of literature reviews out there which can be daunting.
Cornell Library has developed a useful flow chart to help you determine which review is best for your circumstances; it also includes a brief description of each type of review. We have created an interactive version of this for you to try.
Another similar tool is linked below.
Below are some explanations of common types of literature reviews.
A narrative literature review provides a descriptive summary of existing research on a specific topic. It offers a broad overview by highlighting key themes, trends, and gaps in the literature, typically organised thematically or chronologically. This type of review focuses on qualitative assessment rather than quantitative analysis.
Unlike systematic reviews, narrative literature reviews do not necessarily adhere to a standardised search methodology and can vary in length, comprehensiveness, and timeframe. They allow flexibility in the choice of resources and search engines.
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A Rapid Review involves a systematic search method but prioritises time constraints over the quality and depth of analysis.
Questions may be structured in a more neutral manner than a systematic review, the number of databases searched may be more limited and restrictions such as date ranges, language or geographical location, may be applied to help contain the number of results.
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Scoping reviews follow a similar rigorous and transparent approach as systematic reviews, but their purpose is to identify the breadth and extent of the body of knowledge available on a topic, rather than conducting an in-depth analysis of the research literature.
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An integrative literature review (IR or Systematic Integrative Review) summarises a diverse range of sources, including quantitative, qualitative, and theoretical literature, to provide a holistic understanding of a research problem. While it generally follows standardised systems similar to a systematic review, it is not limited by the types of studies included, allowing for a more flexible approach but in doing so can reduce its replicability.
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Further Reading on Integrative Reviews
Systematic reviews have a history rooted in evidence-based medicine (EBM) and health research. Initially developed to inform best practices for health interventions, they have now evolved to play a crucial role across various research domains. Beyond their initial purpose, systematic reviews are increasingly utilised to inform policy decisions as well (EPPI Centre, n.d).
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(also see the resources on the Evidence Synthesis page)
EPPI Centre. (n.d). History of systematic reviews. https://eppi.ioe.ac.uk/cms/Resources/EvidenceInformedPolicyandPractice/HistoryofSystematicReviews/tabid/68/Default.aspx
Meta-analysis is the statistical analysis of the studies within a systematic review, providing a summary of "the effectiveness of an experimental intervention compared with a comparator intervention" (Deeks et al., 2023, Section 10.2).
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Deeks, J. J., Higgins, J. P. T., & Altman, D. G. (2023). Chapter 10: Analysing data and undertaking meta-analyses. In J. P. T., Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page, & V. A. Welch (Eds.). Cochrane handbook for systematic reviews of interventions (version 6.4). Cochrane. www.training.cochrane.org/handbook
An Umbrella review is basically a systematic review of systematic reviews. They provide a very high level of evidence by synthesising the most relevant information on a topic.
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