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Educational and Psychological Measurement
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Predicting Actual Weight from Self-Report Data

Meni Koslowsky

Bar-Ilan University and Mental Health Department, Medical Corps, Israel Defense Forces

Zvi Scheinberg

Mental Health Department, Medical Corps, Israel Defense Forces

Avi Bleich

Mental Health Department, Medical Corps, Israel Defense Forces and Sackler School of Medicine, Tel-Aviv University

Mordechai Mark

Mental Health Department, Medical Corps, Israel Defense Forces and Sackler School of Medicine, Tel-Aviv University

Alan Apter

Mental Health Department, Medical Corps, Israel Defense Forces and Sackler School of Medicine, Tel-Aviv University

Yehuda Danon

Mental Health Department, Medical Corps, Israel Defense Forces and Sackler School of Medicine, Tel-Aviv University

Zahava Solomon

Mental Health Department, Medical Corps, Israel Defense Forces and Chapel School of Social Work, Tel-Aviv University

Due to reasons of economy of time and ease of data collection, researchers increasingly use self-report weight as a substitute for measured or actual weight. Little research has been done on the inclusion of attitudinal scales and other self-report data in improving prediction of actual weight. The present study examined self-report data as well as actual weight for a sample of 946 young women inductees to the Israel Defense Forces. The results showed that self-reported weight is the best predictor of actual weight, but indicators such as the Eating Attitudes Scale (EAT), body image, and ideal weight are significant predictors also. In addition, the correlation between actual weight and difference weight (reported weight-actual weight) was negative (-.37) indicating that the heavier people tend to underreport their weight.

Educational and Psychological Measurement, Vol. 54, No. 1, 168-173 (1994)
DOI: 10.1177/0013164494054001022


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S. A. Rusticus, A. M. Hubley, and B. D. Zumbo
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[Abstract] [PDF]