Factor structure of the Cybersex Motives Questionnaire.
Details
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Version: Final published version
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UNIL restricted access
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_B5D1526F047E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Factor structure of the Cybersex Motives Questionnaire.
Journal
Journal of behavioral addictions
ISSN
2063-5303
ISSN-L
2062-5871
Publication state
Published
Issued date
01/09/2018
Peer-reviewed
Oui
Volume
7
Number
3
Pages
601-609
Language
english
Notes
Publication types: Journal Article ; Validation Study
Publication Status: ppublish
Publication Status: ppublish
Abstract
The Internet is widely used for sexual activities and pornography. Little is known, however, about why people look for meetings and sexual interactions through the Internet and about the correlates of cybersex addiction. The goal of this study was to construct a questionnaire for cybersex motives [Cybersex Motives Questionnaire (CysexMQ)] by adapting the Gambling Motives Questionnaire to cybersex use and validating its structure.
Two online samples of 191 and 204 cybersex users were collected to conduct a principal component analysis (PCA) on the first sample and a confirmatory factor analysis (CFA) on the second. Cronbach's α and composite reliability were computed to assess internal consistency. Correlations between the CysexMQ and the Sexual Desire Inventory (SDI) were also evaluated.
Two competing models were retained from the PCA, one with two factors and the other with three factors. The CFA showed better fit for the three-factor solution. After three cross-loading items were removed, the results showed that a final 14-item three-factor solution (enhancement, coping, and social motives) was valid (adjusted goodness-of-fit index: 0.993; normed-fit index: 0.978; Tucker-Lewis index: 0.985; comparative fit index: 0.988; root mean square error of approximation: 0.076). Positive correlations were found between the different motives and the subscales of the SDI.
The results suggest that the CysexMQ is adequate for the assessment of cybersex motives.
Two online samples of 191 and 204 cybersex users were collected to conduct a principal component analysis (PCA) on the first sample and a confirmatory factor analysis (CFA) on the second. Cronbach's α and composite reliability were computed to assess internal consistency. Correlations between the CysexMQ and the Sexual Desire Inventory (SDI) were also evaluated.
Two competing models were retained from the PCA, one with two factors and the other with three factors. The CFA showed better fit for the three-factor solution. After three cross-loading items were removed, the results showed that a final 14-item three-factor solution (enhancement, coping, and social motives) was valid (adjusted goodness-of-fit index: 0.993; normed-fit index: 0.978; Tucker-Lewis index: 0.985; comparative fit index: 0.988; root mean square error of approximation: 0.076). Positive correlations were found between the different motives and the subscales of the SDI.
The results suggest that the CysexMQ is adequate for the assessment of cybersex motives.
Keywords
Adolescent, Adult, Aged, Behavior, Addictive/diagnosis, Behavior, Addictive/psychology, Erotica/psychology, Factor Analysis, Statistical, Female, Humans, Internet, Male, Middle Aged, Motivation, Principal Component Analysis, Psychometrics, Reproducibility of Results, Sexual Behavior/psychology, Surveys and Questionnaires, Young Adult, Gambling Motives Questionnaire, Internet addiction, cybersex, motives, pornography
Pubmed
Web of science
Open Access
Yes
Create date
27/03/2022 21:19
Last modification date
09/08/2024 12:29