Abstract
This paper describes a Chinese translation and validation of the Acceptance of Cosmetic Surgery Scale (ACSS; Henderson-King & Henderson-King, 2005), a questionnaire for assessing attitudes towards cosmetic surgery. Chinese adults (335 women, 240 men; Mage = 33.65) completed the Chinese ACSS and - to investigate construct validity - measures of body appreciation, facial appearance concerns, sociocultural attitudes towards appearance (i.e., internalization of appearance ideals and appearance pressures), and demographics. Exploratory factor analysis revealed that the Chinese ACSS comprised two factors, which were invariant across sex, mirroring results among other non-Western samples. The Chinese ACSS also demonstrated good internal consistency (Cronbach's alphas > .90) and convergent validity via its positive associations with facial appearance concerns and overall sociocultural attitudes toward appearance. Chinese ACSS scores were higher among women, and were positively correlated with age among men. Chinese ACSS scores were not associated with body appreciation or other demographic factors. The ACSS seems to be a valid instrument for use in Chinese adults, and could bring more insight into attitudes toward cosmetic surgery from a cross-cultural perspective.
Original language | English |
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Pages (from-to) | 244-256 |
Number of pages | 13 |
Journal | Body Image |
Volume | 33 |
Early online date | 11 May 2020 |
DOIs | |
Publication status | Published - Jun 2020 |
Keywords
- Acceptance of Cosmetic Surgery Scale
- Factor analysis
- Psychometric properties
- Body image
- Chinese population
- Cross-cultural
- BODY APPRECIATION SCALE-2
- COLLEGE WOMENS ATTITUDES
- SOCIOCULTURAL ATTITUDES
- OBJECTIFICATION THEORY
- PSYCHOSOCIAL CHARACTERISTICS
- BREAST AUGMENTATION
- ITALIAN VERSION
- BEAUTY ECONOMY
- MENTAL-HEALTH
- SELF-ESTEEM
Datasets
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Factor Analysis and Psychometric Properties of the ChineseTranslation of the Acceptance of Cosmetic Surgery Scale
Wu, Y. (Creator), Alleva, J. (Contributor) & Mulkens, S. (Contributor), DataverseNL, 4 Nov 2020
DOI: 10.34894/lg2xpi, https://doi.org/10.34894%2Flg2xpi
Dataset/Software: Dataset