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Forschungsergebnis (Zeitschriftenartikel)

Farid Tarrahi, Martin Eisend: The Influence of Judgment Calls on Meta-Analytic Findings: A Meta-Meta-Analysis

Abstract

Previous research has suggested that judgment calls (i.e., methodological choices made in the process of conducting a meta-analysis) have a strong influence on meta-analytic findings and question their robustness. However, prior research applies case study comparison or reanalysis of a few metaanalyses with a focus on a few selected judgment calls. These studies neglect the fact that different judgment calls are related to each other and simultaneously influence the outcomes of a metaanalysis, and that meta-analytic findings can vary due to non–judgment call differences between
meta-analyses (e.g., variations of effects over time). The current study analyzes the influence of 13 judgment calls in 176meta-analyses in marketing research by applying a multivariate, multilevel metameta-analysis. The analysis considers simultaneous influences fromdifferent judgment calls on metaanalytic effect sizes and controls for alternative explanations based on non–judgment call differences between meta-analyses. The findings suggest that judgment calls have only a minor influence on meta-analytic findings, whereas non–judgment call differences between meta-analyses are more likely to explain differences in meta-analytic findings. The findings support the robustness of metaanalytic results and conclusions.

Autor Farid Tarrahi, Martin Eisend
Titel des Aufsatzes The Influence of Judgment Calls on Meta-Analytic Findings: A Meta-Meta-Analysis
Jahr 2016
Zeitschrift Zeitschrift Multivariate Behavioral Research
Ausgabe / Nummer 51/2-3
Ranking B (VHB-Jourqual 2.1 (2011))
Seiten 314-329

Einordnung in die Universitätsstruktur

Fakultät Wirtschaftswissenschaftliche Fakultät
Lehrstuhl Professur für Betriebswirtschaftslehre, insbesondere Marketing

Bibliographische Angabe

Farid Tarrahi, Martin Eisend: The Influence of Judgment Calls on Meta-Analytic Findings: A Meta-Meta-Analysis. In: Multivariate Behavioral Research 51/2-3, 2016, S. 314-329.