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 Yet many meta-analyses still rely on outdated approaches, some ignoring publication bias and systematic heterogeneity.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.
- Sprache
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Englisch
- Klassifikation
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Wirtschaft
Sociology of Economics
Economic Methodology: Other
Survey Methods; Sampling Methods
- Thema
-
meta-analysis
publication bias
p-hacking
artificial intelligence
model uncertainty
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Irsova, Zuzana
Doucouliagos, Hristos
Havranek, Tomas
Stanley, T. D.
- Ereignis
-
Veröffentlichung
- (wer)
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ZBW – Leibniz Information Centre for Economics
- (wo)
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Kiel, Hamburg
- (wann)
-
2023
- Handle
- Letzte Aktualisierung
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20.09.2024, 08:21 MESZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Irsova, Zuzana
- Doucouliagos, Hristos
- Havranek, Tomas
- Stanley, T. D.
- ZBW – Leibniz Information Centre for Economics
Entstanden
- 2023