@article{maiano_psychometric_2021,

title = {Psychometric Properties of the Body Checking Questionnaire (BCQ) and of the Body Checking Cognitions Scale (BCCS): A Bifactor-Exploratory Structural Equation Modeling Approach},

author = {C. Maïano and A. J. S. Morin and A. Aimé and G. Lepage and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070217501&doi=10.1177%2f1073191119858411&partnerID=40&md5=2a1f68168c4042203964144f7eef8dae},

doi = {10.1177/1073191119858411},

issn = {10731911},

year  = {2021},

date = {2021-01-01},

journal = {Assessment},

volume = {28},

number = {2},

pages = {632–646},

abstract = {This research sought to assess the psychometric properties of the French versions of the Body Checking Questionnaire and the Body Checking Cognitions Scale among community samples. A total sample of 922 adolescents and adults was involved in a series of two studies. The results from the first study supported factor validity and reliability of responses obtained on these two measures, and showed that both measures were best represented by a bifactor-exploratory structural equation modeling representation of the data. The results from the second study replicated these conclusions, while also supporting the measurement invariance of the bifactor-exploratory structural equation modeling solution and the equivalence of the correlations among the two measures (i.e., convergent validity) across samples. This second study also supported the criterion-related validity of ratings on both measures with measures of global self-esteem, physical appearance, social physique anxiety, fear of negative appearance evaluation, and disturbed eating attitudes and behaviors. Finally, the results of this last study also supported the measurement invariance and lack of differential item functioning of both measures in relation to sex, age, diagnosis of eating disorders, and body mass index. © The Author(s) 2019.},

note = {Publisher: SAGE Publications Inc.},

keywords = {Adolescent, adult, body image, cognition, human, Humans, Latent Class Analysis, Psychometrics, psychometry, questionnaire, reproducibility, Reproducibility of Results, Surveys and Questionnaires},

pubstate = {published},

tppubtype = {article}

}