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      How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses

      1 , 2 , 3
      Annual Review of Psychology
      Annual Reviews

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          Abstract

          Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to draw broad theoretical conclusions about what a literature means, linking theory to evidence and evidence to theory. This guide describes how to plan, conduct, organize, and present a systematic review of quantitative (meta-analysis) or qualitative (narrative review, meta-synthesis) information. We outline core standards and principles and describe commonly encountered problems. Although this guide targets psychological scientists, its high level of abstraction makes it potentially relevant to any subject area or discipline. We argue that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and we call for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.

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          Author and article information

          Journal
          Annual Review of Psychology
          Annu. Rev. Psychol.
          Annual Reviews
          0066-4308
          1545-2085
          January 04 2019
          January 04 2019
          : 70
          : 1
          : 747-770
          Affiliations
          [1 ]Behavioural Science Centre, Stirling Management School, University of Stirling, Stirling FK9 4LA, United Kingdom;
          [2 ]Department of Psychological and Behavioural Science, London School of Economics and Political Science, London WC2A 2AE, United Kingdom
          [3 ]Department of Statistics, Northwestern University, Evanston, Illinois 60208, USA;
          Article
          10.1146/annurev-psych-010418-102803
          30089228
          ccf942b6-9b0e-458c-9670-aef104e92daf
          © 2019
          History

          Earth & Environmental sciences,Chemistry,Engineering,Social & Behavioral Sciences,Economics,Life sciences

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