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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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Published in:American Journal of Health Education Vol. 45; no. 4; pp. 199 - 205
Main Authors: Lu, Wenhua, Miao, Jingang, Lisako J. McKyer, E.
Format: research tables/charts Journal Article
Published: Taylor & Francis Ltd Jul/Aug2014
Online Access:View this record in EBSCOhost
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      dt: Jul/Aug2014
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        atl: A Primer on Bootstrap Factor Analysis as Applied to Health Studies Research.
      aug:
        au:
          Lu, Wenhua
          Miao, Jingang
          Lisako J. McKyer, E.
        affil: Texas A&M University
      sug:
        subj:
          Factor Analysis Methods
          Pediatric Obesity Prevention and Control
          Health Promotion In Infancy and Childhood
          Health Policy In Infancy and Childhood
          Transportation In Infancy and Childhood
          Human
          Funding Source
          Secondary Analysis
          Evaluation Research
          Data Analysis Software
          Health Policy Studies
          Quasi-Experimental Studies
          Students, Elementary
          Parents
          Surveys
          Self Report
          Self-Efficacy
          Audit
          Geographic Information Systems
          Descriptive Statistics
          Child
          Adult
          Child: 6-12 years
          Adult: 19-44 years
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
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        Journal Article
      ougenre: Article
    language: English
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