Arbeitspapier

Meta-Analysis of Social Science Research: A Practitioner’s Guide

This paper provides concise, nontechnical, step-by-step guidelines on how to conduct a modern meta-analysis, especially in social sciences. We treat publication bias, p-hacking, and heterogeneity as phenomena meta-analysts must always confront. To this end, we provide concrete methodological recommendations. Meta-analysis methods have advanced notably over the last few years. Yet many meta-analyses still rely on outdated approaches, some ignoring publication bias and systematic heterogeneity. While limitations persist, recently developed techniques allow robust inference even in the face of formidable problems in the underlying empirical literature. The purpose of this paper is to summarize the state of the art in a way accessible to aspiring meta-analysts in any field. We also discuss how meta-analysts can use advances in artificial intelligence to work more efficiently.

Language
Englisch

Classification
Wirtschaft
Sociology of Economics
Economic Methodology: Other
Survey Methods; Sampling Methods
Subject
meta-analysis
publication bias
p-hacking
artificial intelligence
model uncertainty

Event
Geistige Schöpfung
(who)
Irsova, Zuzana
Doucouliagos, Hristos
Havranek, Tomas
Stanley, T. D.
Event
Veröffentlichung
(who)
ZBW – Leibniz Information Centre for Economics
(where)
Kiel, Hamburg
(when)
2023

Handle
Last update
20.09.2024, 8:21 AM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

  • Irsova, Zuzana
  • Doucouliagos, Hristos
  • Havranek, Tomas
  • Stanley, T. D.
  • ZBW – Leibniz Information Centre for Economics

Time of origin

  • 2023

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