Sample Size Requirements for Simple and Complex Mediation Models

Autor/inn/en	Sim, Mikyung; Kim, Su-Young; Suh, Youngsuk
Titel	Sample Size Requirements for Simple and Complex Mediation Models
Quelle	In: Educational and Psychological Measurement, 82 (2022) 1, S.76-106 (31 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sim, Mikyung) ORCID (Suh, Youngsuk)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644211003261
Schlagwörter	Sample Size; Statistical Analysis; Predictor Variables; Path Analysis; Structural Equation Models; Computation; Accuracy + Suchen Sie Ihr Suchwort? Statistische Analyse; Prädiktor; Pfadanalyse
Abstract	Mediation models have been widely used in many disciplines to better understand the underlying processes between independent and dependent variables. Despite their popularity and importance, the appropriate sample sizes for estimating those models are not well known. Although several approaches (such as Monte Carlo methods) exist, applied researchers tend to use insufficient sample sizes to estimate their models of interest, which might result in unstable and inaccurate estimation of the model parameters including mediation effects. In the present study, sample size requirements were investigated for four frequently used mediation models: one simple mediation model and three complex mediation models. For each model, path and structural equation modeling approaches were examined, and partial and complete mediation conditions were considered. Both the percentile bootstrap method and the multivariate delta method were compared for testing mediation effects. A series of Monte Carlo simulations was conducted under various simulation conditions, including those concerning the level of effect sizes, the number of indicators, the magnitude of factor loadings, and the proportion of missing data. The results not only present practical and general guidelines for substantive researchers to determine minimum required sample sizes but also improve understanding of which factors are related to sample size requirements in mediation models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01