Psychometric properties of the 26-item eating attitudes test (EAT-26): an application of rasch analysis

  • Natalie M. Papini (Creator)
  • Myungjin Jung (Creator)
  • Amanda Cook (Creator)
  • Nanette Lopez (Creator)
  • Lauren T. Ptomey (Creator)
  • Stephen D. Herrmann (Creator)
  • Minsoo Kang (Creator)

Dataset

Description

Abstract Background The 26-item Eating Attitudes Test (EAT-26) is a commonly used tool to assess eating disorder risk. The purpose of this study was to examine the psychometric properties of the EAT-26 with a combined sample: (1) of adults with overweight and obesity enrolled in a behavioral weight loss program and (2) general adult sample (n = 469; age = 36.17 ± 17.83 years; female = 72.5%; white = 66.3%; obese BMI category = 58%). Methods Rasch modeling was used to assess model-data fit, create an item-person map to evaluate relative distribution items and persons, item difficulty, and person’s eating disorder (ED) risk level of the EAT-26. Differential item functioning (DIF) and rating scale functioning of the EAT-26 were also evaluated using Rasch analysis. Results A total of 7 misfit items were removed from the final analysis due to unacceptable Infit and Outfit mean square residual values. The item-person map showed that the items were biased toward participants with moderate to high levels of ED risk and did not cover those who had low risk for having an ED (
Date made available2022
Publisherfigshare

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