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A Step-by-Step Guide to Conducting an Integrative ReviewAnalysis and Synthesis

A Step-by-Step Guide to Conducting an Integrative Review: Analysis and Synthesis [Data analysis is a challenging stage of the integrative review process as it requires the reviewer to synthesize data from diverse methodological sources. Although established approaches to data analysis and synthesis of integrative review findings continue to evolve, adherence to systematic methods during this stage is essential to mitigating potential bias. The use of rigorous and transparent data analysis methods facilitates an evidence synthesis that can be confidently incorporated into practice. This chapter discusses strategies for data analysis including creating a data matrix and presents inductive analysis approaches to support the integration and interpretation of data from a body of literature. This chapter also discusses the presentation of results and includes examples of narrative and thematic syntheses from recently published integrative reviews.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Step-by-Step Guide to Conducting an Integrative ReviewAnalysis and Synthesis

Editors: Toronto, Coleen E.; Remington, Ruth
Springer Journals — Feb 18, 2020

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-37503-4
Pages
57 –70
DOI
10.1007/978-3-030-37504-1_5
Publisher site
See Chapter on Publisher Site

Abstract

[Data analysis is a challenging stage of the integrative review process as it requires the reviewer to synthesize data from diverse methodological sources. Although established approaches to data analysis and synthesis of integrative review findings continue to evolve, adherence to systematic methods during this stage is essential to mitigating potential bias. The use of rigorous and transparent data analysis methods facilitates an evidence synthesis that can be confidently incorporated into practice. This chapter discusses strategies for data analysis including creating a data matrix and presents inductive analysis approaches to support the integration and interpretation of data from a body of literature. This chapter also discusses the presentation of results and includes examples of narrative and thematic syntheses from recently published integrative reviews.]

Published: Feb 18, 2020

Keywords: Integrative review; Data abstraction; Data matrix; Analysis strategies; Synthesis; Results

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