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 Yet many meta-analyses still rely on outdated approaches, some ignoring publication bias and systematic heterogeneity.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
Englisch

Erschienen in
Series: IES Working Paper ; No. 25/2023

Klassifikation
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)
Havránková, Zuzana
Doucouliagos, Chris
Havránek, Tomáš
Stanley, Tom D.
Ereignis
Veröffentlichung
(wer)
Charles University in Prague, Institute of Economic Studies (IES)
(wo)
Prague
(wann)
2023

Handle
Letzte Aktualisierung
20.09.2024, 08:24 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Havránková, Zuzana
  • Doucouliagos, Chris
  • Havránek, Tomáš
  • Stanley, Tom D.
  • Charles University in Prague, Institute of Economic Studies (IES)

Entstanden

  • 2023

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