A Primer on Bootstrap Factor Analysis as Applied to Health Studies Research.

Objectives:To demonstrate how the bootstrap method could be conducted in exploratory factor analysis (EFA) with a syntax written in SPSS.Methods:The data obtained from the Texas Childhood Obesity Prevention Policy Evaluation project (T-COPPE project) were used for illustration. A 5-step procedure to...

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Detalles Bibliográficos
Publicado en:American Journal of Health Education Vol. 45; no. 4; pp. 199 - 205
Autores principales: Lu, Wenhua, Miao, Jingang, Lisako J. McKyer, E.
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul/Aug2014
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Objectives:To demonstrate how the bootstrap method could be conducted in exploratory factor analysis (EFA) with a syntax written in SPSS.Methods:The data obtained from the Texas Childhood Obesity Prevention Policy Evaluation project (T-COPPE project) were used for illustration. A 5-step procedure to conduct bootstrap factor analysis (BFA) was introduced: (1) conduct principal component analysis, (2) create the target matrix, (3) resample with replacement, (4) conduct EFA and Procrustes rotation, and (5) calculate BFA results.Results:Results of the illustrated BFA example indicated that the 15 variables from this study were stable across the resamples.Conclusions:The bootstrap method, when applied in EFA for health-related research, is a particularly powerful internal replicability analysis.