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Exploratory structural equation modeling of personality data.

Tom Booth1, David J Hughes2

  • 1University of Edinburgh, Edinburgh, Scotland tom.booth@ed.ac.uk.

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|April 1, 2014
PubMed
Summary
This summary is machine-generated.

Exploratory structural equation modeling (ESEM) offers better model fit than confirmatory factor analytic (CFA) models in personality research. However, both methods yield highly similar factor scores and criterion associations for personality assessment.

Keywords:
BFIESEMFive Factor modelNEO-FFIconfirmatory factor analysis

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Area of Science:

  • Psychological assessment
  • Quantitative psychology
  • Personality research

Background:

  • Confirmatory factor analytic (CFA) models are widely used in personality research.
  • Exploratory structural equation modeling (ESEM) presents an alternative approach to structural equation modeling.
  • Comparing ESEM and CFA is crucial for advancing personality assessment methodologies.

Purpose of the Study:

  • To compare model fit, factor distinctiveness, and criterion associations between ESEM and CFA models in personality research.
  • To evaluate the utility of ESEM as an alternative to CFA for personality assessment.
  • To explore the combined use of ESEM and CFA for improving personality assessment.

Main Methods:

  • Utilized two independent samples (N=336 and N=425) for data collection.
  • Administered established personality inventories including NEO-FFI, Trait Emotional Intelligence Questionnaire-Short Form, Creative Domains Questionnaire, Big Five Inventory, and General Health Questionnaire.
  • Performed comparative analyses of model fit, factor distinctiveness, and criterion associations using ESEM and CFA.

Main Results:

  • ESEM models demonstrated superior model fit compared to CFA models across both samples.
  • Factor scores derived from ESEM and CFA models exhibited very high correlations (0.91 to 0.99).
  • Criterion associations for personality factors were nearly identical between ESEM and CFA models.

Conclusions:

  • ESEM provides a better model fit in personality research compared to CFA.
  • Despite differences in model fit, ESEM and CFA yield comparable factor scores and criterion associations.
  • Integrating ESEM and CFA approaches can enhance the precision and validity of personality assessment.