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Gone fishin’: Addressing completeness, accuracy, and representativeness in the search and coding processes of meta-analyses in the organizational sciences


O'Boyle, Ernest H; Götz, Martin; Zivic, Damian C (2023). Gone fishin’: Addressing completeness, accuracy, and representativeness in the search and coding processes of meta-analyses in the organizational sciences. Journal of Business, 38:723-742.

Abstract

No research question is compelling enough nor a meta-analytic procedure advanced enough to overcome an ineffectual search or inaccurate coding process. The bulk of attention towards meta-analyses conducted within the organizational sciences has been directed at establishing the types of research questions meta-analyses are best equipped to address and how best to go about analyzing secondary data. However, the meta-analytic process requires rigor and transparency at every step. It is too often the case that the search and coding are non-systematic, resulting in a deficient and/or contaminated dataset and, ultimately, not an accurate reflection of the extant literature. Using the analogy of a fishing trip where fish are available studies and the oceans, lakes, and rivers are the sources of data, we highlight best practices and offer actionable takeaways in conducting and reporting a thorough and representative search and accurate and inclusive coding process for meta-analyses in the organizational sciences.

Abstract

No research question is compelling enough nor a meta-analytic procedure advanced enough to overcome an ineffectual search or inaccurate coding process. The bulk of attention towards meta-analyses conducted within the organizational sciences has been directed at establishing the types of research questions meta-analyses are best equipped to address and how best to go about analyzing secondary data. However, the meta-analytic process requires rigor and transparency at every step. It is too often the case that the search and coding are non-systematic, resulting in a deficient and/or contaminated dataset and, ultimately, not an accurate reflection of the extant literature. Using the analogy of a fishing trip where fish are available studies and the oceans, lakes, and rivers are the sources of data, we highlight best practices and offer actionable takeaways in conducting and reporting a thorough and representative search and accurate and inclusive coding process for meta-analyses in the organizational sciences.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Scopus Subject Areas:Social Sciences & Humanities > Business and International Management
Social Sciences & Humanities > General Business, Management and Accounting
Social Sciences & Humanities > Applied Psychology
Social Sciences & Humanities > General Psychology
Uncontrolled Keywords:meta-analysis; systematic review; research methods; inclusiveness
Language:English
Date:9 June 2023
Deposited On:27 Jun 2023 10:23
Last Modified:30 Mar 2024 02:36
Publisher:Springer
ISSN:1573-353X
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s10869-023-09890-y