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The intuitive eating scale-2: re-evaluating its factor structure using a bifactor exploratory structural equation

Viren Swami1,2, Christophe Maïano3, Adrian Furnham4

  • 1School of Psychology and Sport Science, Anglia Ruskin University, East Road, Cambridge, CB1 1PT, Cambridgeshire, UK. viren.swami@aru.ac.uk.

Eating and Weight Disorders : EWD
|July 22, 2021
PubMed
Summary
This summary is machine-generated.

The bifactor-exploratory structural equation modelling (B-ESEM) framework offers a superior approach to analyzing the intuitive eating scale-2 (IES-2) scores. This method better captures the scale's multidimensionality and improves understanding of intuitive eating patterns.

Keywords:
Bifactor analysisCorrelated uniquenessExploratory structural equation modellingIntuitive eatingIntuitive eating scale-2

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Area of Science:

  • Psychological Measurement
  • Eating Behavior Research
  • Statistical Modeling

Background:

  • Previous research on the 4-factor model of the intuitive eating scale-2 (IES-2) has yielded inconsistent findings.
  • Methodological limitations in score modeling may explain these equivocal results.
  • A more robust analytical framework is needed to understand the IES-2's multidimensional nature.

Purpose of the Study:

  • To apply a bifactor-exploratory structural equation modelling (B-ESEM) framework to the intuitive eating scale-2 (IES-2).
  • To investigate the multidimensionality of IES-2 scores using advanced statistical techniques.
  • To compare the fit of B-ESEM with traditional confirmatory factor analysis (CFA) models.

Main Methods:

  • A cohort of 603 U.S. participants completed the IES-2, body appreciation, body acceptance, and self-esteem measures.
  • Confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) approaches were utilized.
  • A bifactor-ESEM (B-ESEM) model, including correlated uniqueness (CU) for negatively-worded items, was developed and tested.

Main Results:

  • Confirmatory factor analysis (CFA) models demonstrated poor fit for IES-2 scores.
  • Exploratory structural equation modelling (ESEM) models exhibited superior fit compared to CFA.
  • The optimal B-ESEM-CU model showed full invariance across gender and adequate construct validity, accounting for methodological artifacts.

Conclusions:

  • The B-ESEM-CU framework provides a suitable method for analyzing the multidimensionality of IES-2 scores.
  • This approach yields a reliable indicator of global intuitive eating while accounting for specific factors.
  • The findings suggest that this model offers a more accurate understanding of intuitive eating and its outcomes.