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The Bergen–Yale Sexual Addiction Scale (BYSAS): Longitudinal Measurement Invariance Across a Two-Year Interval.

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Title: The Bergen–Yale Sexual Addiction Scale (BYSAS): Longitudinal Measurement Invariance Across a Two-Year Interval.
Authors: Gomez, Rapson (AUTHOR), Brown, Taylor (AUTHOR), Stavropoulos, Vasileios (AUTHOR)
Source: Psychiatric Quarterly. Dec2024, Vol. 95 Issue 4, p561-577. 17p.
Subjects: Sex addiction, Confirmatory factor analysis, Ordinal measurement, Least squares, Psychometrics
Abstract: The Bergen–Yale Sexual Addiction Scale (BYSAS; [1]) is arguably the most popular questionnaire at present for assessing sex addiction. Employing Confirmatory Factor Analysis (CFA) and treating item scores as ordered categorical, we applied Weighted Least Square Mean and Variance Adjusted Chi-Square (WLSMV) extraction to investigate the longitudinal measurement and structural invariance of ratings on the BYSAS among 276 adults (mean = 31.86 years; SD = 9.94 years; 71% male) over a two-year period, with ratings at three yearly intervals. Overall, there was support for configural invariance, full loading, full threshold, the full unique factor invariance; and all structural (latent variances and covariances) components. Additionally, there was no difference in latent mean scores across the three-time points. The psychometric and practical implications of the findings are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The Bergen–Yale Sexual Addiction Scale (BYSAS): Longitudinal Measurement Invariance Across a Two-Year Interval.
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  Data: <searchLink fieldCode="AR" term="%22Gomez%2C+Rapson%22">Gomez, Rapson</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brown%2C+Taylor%22">Brown, Taylor</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stavropoulos%2C+Vasileios%22">Stavropoulos, Vasileios</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatric+Quarterly%22">Psychiatric Quarterly</searchLink>. Dec2024, Vol. 95 Issue 4, p561-577. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Sex+addiction%22">Sex addiction</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Ordinal+measurement%22">Ordinal measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Least+squares%22">Least squares</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink>
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  Data: The Bergen–Yale Sexual Addiction Scale (BYSAS; [1]) is arguably the most popular questionnaire at present for assessing sex addiction. Employing Confirmatory Factor Analysis (CFA) and treating item scores as ordered categorical, we applied Weighted Least Square Mean and Variance Adjusted Chi-Square (WLSMV) extraction to investigate the longitudinal measurement and structural invariance of ratings on the BYSAS among 276 adults (mean = 31.86 years; SD = 9.94 years; 71% male) over a two-year period, with ratings at three yearly intervals. Overall, there was support for configural invariance, full loading, full threshold, the full unique factor invariance; and all structural (latent variances and covariances) components. Additionally, there was no difference in latent mean scores across the three-time points. The psychometric and practical implications of the findings are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2024
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