Abstract
The Eating Disorder Inventory-3 (EDI-3; Garner, 2004) is a 91-item, self-report measure scored on 12 scales (three Eating Disorder Risk scales, nine Psychological scales) and six composites. A sample of 1206 female eating disorder patients was divided randomly into calibration (n = 607) and cross-validation (n = 599) samples for confirmatory factor analyses. A bifactor model best fit the data in both samples, but a model with second-order factors corresponding to the risk and psychological scales approached the fit of the bifactor model. Rasch analysis identified only two items whose level of misfit showed a lack of coherence with other scale items (the only items referring to drug and alcohol use), there were no items with reversed or “disordered” response categories, and only five items had sub-threshold estimated discrimination values. Overall, the results were supportive of the EDI-3’s psychometric properties and consistent with interpretive guidelines presented in the test manual.
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23 February 2021
A Correction to this paper has been published: https://doi.org/10.1007/s10862-020-09838-z
References
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.
Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438. https://doi.org/10.1080/10705510903008204.
Brown, T. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York: Guilford Press.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41, 180–225. https://doi.org/10.1207/s15327906mbr4102_5.
Clausen, L., Rosenvinge, J. H., Friborg, O., & Rokkedal, K. (2011). Validating the eating disorder Inventory-3 (EDI-3): A comparison between 561 female eating disorders patients and 878 females from the general population. Journal of Psychopathology and Behavioral Assessment, 33, 101–110. https://doi.org/10.1007/s10862-010-9207-4.
Cumella, E. J. (2006). Review of the eating disorder Inventory-3. Journal of Personality Assessment, 87, 116–117. https://doi.org/10.1207/s15327752jpa8701_11.
Garner, D. M., Olmsted, M. P., & Polivy, J. (1983). Development and validation of a multidimensional eating disorder inventory for anorexia nervosa and bulimia. International Journal of Eating Disorders, 2, 15–34. https://doi.org/10.1002/1098-108X(198321)2:2<15::AID-EAT2260020203>3.0.CO;2-6.
Garner, D. M. (1991). Eating disorder Inventory-2 professional manual. Odessa, FL: Psychological Assessment Resources.
Garner, D. M. (2004). Eating disorder Inventory-3 professional manual. Lutz, FL: Psychological Assessment Resources.
Garner, D. M., Desmond, M., Desai, J., & Lockert, J. (2016). The disconnect between treatment outcome data and reimbursement for the treatment of anorexia nervosa. International Journal of Physiatry, 2(006), 10.23937/2572-4215.1510006.
Gleaves, D. H., Pearson, C. A., Ambwani, S., & Morey, L. C. (2014). Measuring eating disorder attitudes and behaviors; a reliability generalization study. Journal of Eating Disorders, 2, 1–12. https://doi.org/10.1186/2050-2974-2-6.
Gold, M. S., & Bentler, P. M. (2000). Treatments of missing data: A Monte Carlo comparison of RBHDI, iterative stochastic regression imputation, and expectation maximization. Structural Equation Modeling, 7, 319–355. https://doi.org/10.1207/S15328007SEM0703_1.
Gomez, R. (2008). Parent rating of the ADHD items of the disruptive behavior rating scale: Analyses of their IRT properties based on the generalized partial credit model. Personality and Individual Differences, 45, 181–186. https://doi.org/10.1016/j.paid.2008.04.001.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/10.1080/10705519909540118.
Jackson, D. L. (2003). Revisiting sample size and number of parameter estimates: Some support for the N:Q hypothesis. Structural Equation Modeling, 10, 128–141. https://doi.org/10.1207/S15328007SEM1001_6.
Jackson, D. L., Voth, J., & Frey, M. P. (2013). A note on sample size and solution propriety for confirmatory factor analytic models. Structural Equation Modeling, 20, 86–97. https://doi.org/10.1080/10705511.2013.742388.
Joiner, T. E., Heatherton, T. F., & Keel, P. K. (1997). Ten-year stability and predictive validity of five bulimia-related indicators. American Journal of Psychiatry, 154, 1133–1138. https://doi.org/10.1176/ajp.154.8.1133.
Keel, P. K., Baxter, M. G., Heatherton, T. F., & Joiner, T. E. (2007). A 20-year longitudinal study of body weight, dieting, and eating disorder symptoms. Journal of Abnormal Psychology, 116, 422–432. https://doi.org/10.1037/0021-843X.116.2.422.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford Press.
Linacre, J. M. (2016). Winsteps (version 3.92.1) [software]. Available from http://winsteps.com/winsteps.htm.
Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667–696. https://doi.org/10.1080/00273171.2012.715555.
Rigdon, E. E. (1996). CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 3, 369–379. https://doi.org/10.1080/10705519609540052.
Rizvi, S. L., Stice, E., & Agras, W. S. (1999). Natural history of disordered eating attitudes over a 6-year period. International Journal of Eating Disorders, 26, 406–413. https://doi.org/10.1002/(SICI)1098-108X(199912)26:4<406::AID-EAT6>3.0.CO;2-6.
Shafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. https://doi.org/10.1037/1082-989X.7.2.147.
Wright, B. D., & Linacre, J. M (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370.
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Brookings, J.B., Jackson, D.L. & Garner, D.M. A Bifactor and Item Response Theory Analysis of the Eating Disorder Inventory-3. J Psychopathol Behav Assess 43, 191–204 (2021). https://doi.org/10.1007/s10862-020-09827-2
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DOI: https://doi.org/10.1007/s10862-020-09827-2