Statistical Analyses for Studying Replication: Meta-Analytic Perspectives

Autor/inn/en	Hedges, Larry V.; Schauer, Jacob M.
Titel	Statistical Analyses for Studying Replication: Meta-Analytic Perspectives
Quelle	24 (2019) 5, S.557-570 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-989X
DOI	10.1037/met0000189
Schlagwörter	Statistical Analysis; Replication (Evaluation); Meta Analysis; Hypothesis Testing; Scientific Methodology; Sampling; Statistical Significance + Suchen Sie Ihr Suchwort? Statistische Analyse; Meta-analysis; Metaanalyse; Hypothesenprüfung; Hypothesentest
Abstract	Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have used different statistical approaches to determine if a finding has been replicated. The purpose of this article is to provide several alternative conceptual frameworks that lead to different statistical analyses to test hypotheses about replication. All of these analyses are based on statistical methods used in meta-analysis. The differences among the methods described involve whether the burden of proof is placed on replication or nonreplication, whether replication is exact or allows for a small amount of "negligible heterogeneity," and whether the studies observed are assumed to be fixed (constituting the entire body of relevant evidence) or are a sample from a universe of possibly relevant studies. The statistical power of each of these tests is computed and shown to be low in many cases, raising issues of the interpretability of tests for replication. (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01