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Validation for Multidimensional Measure of Reentry Well-Being Among Individuals Who Are Incarcerated

Validation for Multidimensional Measure of Reentry Well-Being Among Individuals Who Are Incarcerated Purpose: Thousands release from imprisonment every day but no specialized measures of progress during reentry exist beyond criminal risk. This study investigates a new measure of well-being during the transition to the community called the Reentry Well-Being Assessment Tool (RWAT). The RWAT is designed as an alternative to measures of risk while responding to the challenges of individualizing program services and evaluating effectiveness. Method: Confirmatory factor analysis informed by item response theory was undertaken to identify a parsimonious set of RWAT items. Results: Analysis identified 13 unidimensional factors. Multidimensional modeling supported a second-order factor to assess reentry well-being with minor modifications, (x2(3,724) = 12,564.27, p <.001; root mean square error of approximation = 0.04 [0.039–0.040]; comparative fit index = 0.91; Tucker-Lewis index = 0.91). Discussion: The final RWAT is composed of seven measures with 89 items. Further research is needed to investigate the RWAT in populations disproportionately impacted by mass incarceration, particularly women of color. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Social Work Practice SAGE

Validation for Multidimensional Measure of Reentry Well-Being Among Individuals Who Are Incarcerated

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References (29)

Publisher
SAGE
Copyright
© The Author(s) 2023
ISSN
1049-7315
eISSN
1552-7581
DOI
10.1177/10497315231151238
Publisher site
See Article on Publisher Site

Abstract

Purpose: Thousands release from imprisonment every day but no specialized measures of progress during reentry exist beyond criminal risk. This study investigates a new measure of well-being during the transition to the community called the Reentry Well-Being Assessment Tool (RWAT). The RWAT is designed as an alternative to measures of risk while responding to the challenges of individualizing program services and evaluating effectiveness. Method: Confirmatory factor analysis informed by item response theory was undertaken to identify a parsimonious set of RWAT items. Results: Analysis identified 13 unidimensional factors. Multidimensional modeling supported a second-order factor to assess reentry well-being with minor modifications, (x2(3,724) = 12,564.27, p <.001; root mean square error of approximation = 0.04 [0.039–0.040]; comparative fit index = 0.91; Tucker-Lewis index = 0.91). Discussion: The final RWAT is composed of seven measures with 89 items. Further research is needed to investigate the RWAT in populations disproportionately impacted by mass incarceration, particularly women of color.

Journal

Research on Social Work Practice – SAGE

Published: Jan 1, 2024

Keywords: criminal justice; prison reentry; well-being; factor analysis

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