Meta-Analysis in Organizational Research: A Guide to Methodological Options
Year: 2022
Type: review
Abstract: Meta-analysis provides a powerful tool for integrating findings from the research literature and building statistical models to explore trends and inconsistencies in the research base. Meta-analysis starts with a process for translating results from each study into an effect size that represents all findings in a common metric. Statistical models are then applied to estimate the mean, variance, and moderators of effect size. This article explores several key decision points in conducting a meta-analysis, including issues in obtaining a common metric, accounting for psychometric artifacts, and choosing an appropriate statistical model. It provides recommendations for choosing among alternate approaches and reporting results to ensure transparency.
Author: Scott B. Morris
Institution: Illinois Institute of Technology
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4310102523