Children’s Eating Attitudes Test: Revised factor structure for adolescent girls
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The Eating Attitude Test (EAT) and its language-simplified version for children (ChEAT) have been popular instruments for the assessment of eating attitudes among children, adolescents and young adult females. Objective: Data collected from female adolescents using the ChEAT were analyzed to compare five previously proposed measurement models as well as a new model. Method: Confirmatory factor analysis (CFA) was used to directly compare models in terms of their goodness-of-fit indices and to determine which model best fits the overall data (N=737) as well as data from the youngest and oldest girls (N=200 each). Results: A newly proposed 14-item, 5-factor model provided the best fit to the overall data as well as data analyzed separately for the youngest and oldest girls. Furthermore, each of the newly proposed factor scores varied somewhat independently as a function of grade level, with body image concerns increasing most dramatically from grades 5 through 8. This newly proposed model is based on factors previously suggested by others, but not previously combined into a single measurement model. Discussion: Implications of the results for future research involving adolescent girls are discussed, especially research on developmental changes in eating attitudes and behaviors that may constitute risk factors for subsequent eating disorders.
KeywordsEating Attitudes Test EAT-26 ChEAT scale development factor analysis confirmatory factor analysis CFA EFA psychometrics
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- 5.Montana Office of Public Instruction. Montana Youth Risk Behavior Survey — 1997: Statewide Analysis of Selected Behavior Risk Factors. Helena, Montana, Dodge Data Systems, Inc., 1997.Google Scholar
- 6.Montana Office of Public Instruction. Montana Youth Risk Behavior Survey Report — 1997 for Grades 7–8. Helena Montana, Dodge Data Systems, Inc., 1997.Google Scholar
- 12.Arbuckle J.L.: Amos 5.0. (5.0). Chicago, IL, SmallWaters Corp., 2003.Google Scholar
- 14.Garner D.M., Rockert W., Olmstead M., Johnson C., Coscina D.V.: Psychoeducational principles in the treatment of bulimia and anorexia nervosa. In: Garner D.M., Garfinkel P.E. (Eds.), Handbook of psychotherapy for anorexia nervosa and bulimia. New York, Guilford, 1985, pp. 513–572.Google Scholar
- 17.Bellerive-Ocker L.M.: Confirmatory factor analysis of the Eating Attitudes Test. University of Houston, 2001.Google Scholar
- 18.Lavik N.J., Clausen S.E., Pedersen W.: Eating behaviour, drug use, psychopathology and parental bonding in adolescents in Norway. Acta Psychiatr. Scand., 84, 387–390, 1991.Google Scholar
- 19.Hoyle R.H.: Structural equation modeling: Concepts, issues, and applications, 1st ed. Thousand Oaks, CA, Sage, 1995.Google Scholar
- 20.Browne M.W., Cudeck R.: Alternative ways of assessing model fit. In: Bollen K.A., Long J.S. (Eds.), Testing structural equation models. Newbury Park, CA, Sage, 1993, pp. 136–162.Google Scholar
- 22.Hull J.G., Tedlie J.C., Lehn D.A.: Modeling the relation of personality variables to symptom complaints: The unique role of negative affectivity. In: Hoyle R.H. (Ed.), Structural equation modeling. Concepts, issues, and applications. Thousand Oaks, CA, Sage, 1995, pp. 217–235.Google Scholar
- 30.Jones J.M., Bennett S., Olmsted M.P., Lawson M.L., Rodin G.: Disordered eating attitudes and behaviours in teenaged girls: a school-based study. Can. Med. Assoc. J., 165, 547–552, 2001.Google Scholar
- 32.Shisslak C.M., Renger R., Sharpe T., Crago M., McKnight K.M., Gray N., Bryson S., Estes L.S., Parnaby O.G., Killen J., Taylor C.B.: Development and evaluation of the McKnight Risk Factor Survey for assessing potential risk and protective factors for disordered eating in preadolescent and adolescent girls. Int. J. Eat. Disord., 25, 195–214, 1999.PubMedCrossRefGoogle Scholar