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Psychometric properties of the German version of the Self-Image Scale (SIS-D)

Citation

Brederecke, J and Scott, JL and de Zwaan, M and Brahler, E and Neuner, F and Quinn, M and Zimmermann, T, Psychometric properties of the German version of the Self-Image Scale (SIS-D), PLoS One, 15, (3) Article e0230331. ISSN 1932-6203 (2020) [Refereed Article]


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Copyright 2020 Brederecke et al. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1371/journal.pone.0230331

Abstract

Background: The Self-Image Scale is a self-report measure originally developed for use in women with cancer. Two subscales assess appearance satisfaction (self-acceptance) and perceptions of partners’ acceptance of their appearance (partner-acceptance). This study aimed to increase the Self-Image Scale’s utility by 1) confirming the two-factor structure of the German version of the Self-Image Scale, 2) testing measurement invariance across sex and age groups and validity, and 3) gathering general population normative data.

Methods: Confirmatory factor analysis methods were used to examine the proposed two-factor model in a random sample of adults from the general German population (N = 1367). Measurement invariance, scale reliability, and validity were assessed.

Results: The original factor structure and measurement invariance across sexes and age groups were supported. Women showed significantly lower self-acceptance than men. Adolescent and young adult women showed higher self-acceptance than senior women. For both sexes, partner-acceptance lowered across successive age cohorts. Internal consistencies were good.

Conclusions: Results support the use of the German version of the Self-Image Scale in research and clinical practice. Research directions include validation in further diseases, collecting normative data across countries, and dyadic research, particularly exploring partner-acceptance across the life span.

Item Details

Item Type:Refereed Article
Keywords:body image, psychometrics, dyadic
Research Division:Psychology
Research Group:Clinical and health psychology
Research Field:Health psychology
Objective Division:Health
Objective Group:Specific population health (excl. Indigenous health)
Objective Field:Men's health
UTAS Author:Scott, JL (Professor Jenn Scott)
UTAS Author:Quinn, M (Dr Michael Quinn)
ID Code:139083
Year Published:2020
Web of Science® Times Cited:2
Deposited By:Psychology
Deposited On:2020-05-25
Last Modified:2021-01-29
Downloads:8 View Download Statistics

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