The Classification of Federally Sentenced Women in Canada: Addition of Gender-Informed Variables to the Custody Rating Scale Contributes Incremental Predictive Validity
The Correctional Service of Canada (CSC) uses the Custody Rating Scale (CRS) for initial security classification; it is gender-neutral. Gender-informed scholars contend that gender-neutral assessments are problematic for use with justice-impacted women, as they exclude factors (e.g., victimization)...
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| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2023
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| In: |
Criminal justice and behavior
Jahr: 2023, Band: 50, Heft: 12, Seiten: 1759-1782 |
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Volltext (kostenfrei) |
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MARC
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| 245 | 1 | 4 | |a The Classification of Federally Sentenced Women in Canada: Addition of Gender-Informed Variables to the Custody Rating Scale Contributes Incremental Predictive Validity |
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| 520 | |a The Correctional Service of Canada (CSC) uses the Custody Rating Scale (CRS) for initial security classification; it is gender-neutral. Gender-informed scholars contend that gender-neutral assessments are problematic for use with justice-impacted women, as they exclude factors (e.g., victimization) deemed more relevant for women. Using an archival database with 1,555 federally sentenced women in Canada, we examined the extent that gender-informed indicators could yield incremental predictive validity (predicting institutional misconduct) beyond the CRS. Specifically, gender-informed variables from these domains were tested: mental health, substance misuse, relationship dysfunction, personal/emotional difficulties, parental/family issues, and victimization. Results revealed at least one gender-informed variable from each domain significantly predicted institutional misconducts. Composite gender-informed scales were created from the set of significant gender-informed predictors. Area under the curve (AUC) and hierarchical Cox regression analyses revealed the composite gender-informed scales contributed incremental predictive validity above and beyond the CRS. Although the CRS was predictive, it can be improved by including gender-informed variables. | ||
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