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Meta‐analysis and traditional systematic literature reviews—What, why, when, where, and how?
Author(s) -
Paul Justin,
Barari Mojtaba
Publication year - 2022
Publication title -
psychology and marketing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.035
H-Index - 116
eISSN - 1520-6793
pISSN - 0742-6046
DOI - 10.1002/mar.21657
Subject(s) - meta analysis , systematic review , psychology , process (computing) , data science , best practice , systematic process , computer science , domain (mathematical analysis) , management science , data collection , medline , sociology , management , work in process , social science , marketing , mathematics , medicine , mathematical analysis , business , political science , law , economics , operating system
Meta‐analysis is a research method for systematically combining and synthesizing findings from multiple quantitative studies in a research domain. Despite its importance, most literature evaluating meta‐analyses are based on data analysis and statistical discussions. This paper takes a holistic view, comparing meta‐analyses to traditional systematic literature reviews. We described steps of the meta‐analytic process including question definition, data collection, data analysis, and reporting results. For each step, we explain the primary purpose, the tasks required of the meta‐analyst, and recommendations for best practice. Finally, we discuss recent developments in meta‐analytic techniques, which increase its effectiveness in business research.