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Cited by 549

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Attitudinal Body-Image Assessment: Factor Analysis of the Body-Self Relations Questionnaire

Brown, Timothy A., Cash, Thomas F., Mikulka, Peter J.·1990·Journal of Personality Assessment

Abstract

This article presents an analysis of the factor structure of the Body-Self Relations Questionnaire (BSRQ), an attitudinal body-image instrument. Random stratified samples, drawn from a national survey, included 1,064 females and 988 males. In order to evaluate the replicability of the BSRQ factor structure, separate split-sample factor analyses (principal components with varimax rotation) were conducted for each sex. Largely consistent with the conceptual basis of the BSRQ, the resultant factors derived from each analysis were: Appearance Evaluation, Appearance Orientation, Fitness Evaluation, Fitness Orientation, Health Evaluation, Health Orientation, and Illness Orientation. Subsequent concordance analyses revealed marked stability of the factor structure both within and between sexes. Females demonstrated somewhat greater differentiation of body-image attitudes than did males. The utility of the BSRQ is discussed relative to extant body-image measures.

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Metadata

Authors
Brown, T. A., Cash, T. F., & Mikulka, P. J.
Venue
Journal of Personality Assessment
Published
1990-09
Volume
55
Issue
1-2
Pages
135-144
ISSN
  • 0022-3891 (ISSN-L)
  • 1532-7752
OpenAlex
W2014291281
Cited by
549
References
0
FWCI
3.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Attitudinal Body-Image Assessment: Factor Analysis of the Body-Self Relations Questionnaire. https://app.cochat.ai/papers/10.1080/00223891.1990.9674053
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Brown, T. A., Cash, T. F., & Mikulka, P. J. (1990). Attitudinal Body-Image Assessment: Factor Analysis of the Body-Self Relations Questionnaire. Journal of Personality Assessment. https://doi.org/10.1080/00223891.1990.9674053

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.