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The revised safe at home instrument for assessing readiness to change intimate partner violence
Audrey L Begun1, Michael J Brondino, Daniel Bolt
1University of Wisconsin-Milwaukee, Helen Bader School of Social Welfare/Center for Addiction and Behavioral Health Research, Milwaukee, WI 53201-0786, USA. begun@uwm.edu
This article describes the development and factor structure of the Revised Safe At Home instrument, a 35-item self-report measure designed to assess individuals' readiness to change their intimate partner violence behaviors. Seven new items have been added, representing content specific to the Maintenance stage, and other items have been revised to strengthen the assessment of earlier stages and address gender concerns. Confirmatory factor analysis using multisite data (two sites, a total of 281 men at intake) supported the conclusion that a four-factor model (Precontemplation, Contemplation, Preparation/Action, and Maintenance stages) was consistent with the observed covariances. A high degree of correlation between the Preparation/Action and Maintenance scales was observed, but subsequent testing indicated a need to treat the two as distinct factors in the model. It is recommended that scoring include only 31 items that perform well.
This article describes the development and factor structure of the Revised Safe At Home instrument, a 35-item self-report measure designed to assess individuals' readiness to change their intimate partner violence behaviors. Seven new items have been added, representing content specific to the Maintenance stage, and other items have been revised to strengthen the assessment of earlier stages and address gender concerns. Confirmatory factor analysis using multisite data (two sites, a total of 281 men at intake) supported the conclusion that a four-factor model (Precontemplation, Contemplation, Preparation/Action, and Maintenance stages) was consistent with the observed covariances. A high degree of correlation between the Preparation/Action and Maintenance scales was observed, but subsequent testing indicated a need to treat the two as distinct factors in the model. It is recommended that scoring include only 31 items that perform well.
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