OBJECTIVE: The study: (1) provides the first assessment of the a priori measurement model and psychometric properties of the Organizational Social Context (OSC) measurement system in a US nationwide probability sample of child welfare systems; (2) illustrates the use of the OSC in constructing norm-based organizational culture and climate profiles for child welfare systems; and (3) estimates the association of child welfare system-level organizational culture and climate profiles with individual caseworker-level job satisfaction and organizational commitment. METHODS: The study applies confirmatory factor analysis (CFA) and hierarchical linear models (HLM) analysis to a US nationwide sample of 1,740 caseworkers from 81 child welfare systems participating in the second National Survey of Child and Adolescent Wellbeing (NSCAW II). The participating child welfare systems were selected using a national probability procedure reflecting the number of children served by child welfare systems nationwide. RESULTS: The a priori OSC measurement model is confirmed in this nationwide sample of child welfare systems. In addition, caseworker responses to the OSC scales generate acceptable to high scale reliabilities, moderate to high within-system agreement, and significant between-system differences. Caseworkers in the child welfare systems with the best organizational culture and climate profiles report higher levels of job satisfaction and organizational commitment. Organizational climates characterized by high engagement and functionality, and organizational cultures characterized by low rigidity are associated with the most positive work attitudes. CONCLUSIONS: The OSC is the first valid and reliable measure of organizational culture and climate with US national norms for child welfare systems. The OSC provides a useful measure of Organizational Social Context for child welfare service improvement and implementation research efforts which include a focus on child welfare system culture and climate.
OBJECTIVE: The study: (1) provides the first assessment of the a priori measurement model and psychometric properties of the Organizational Social Context (OSC) measurement system in a US nationwide probability sample of child welfare systems; (2) illustrates the use of the OSC in constructing norm-based organizational culture and climate profiles for child welfare systems; and (3) estimates the association of child welfare system-level organizational culture and climate profiles with individual caseworker-level job satisfaction and organizational commitment. METHODS: The study applies confirmatory factor analysis (CFA) and hierarchical linear models (HLM) analysis to a US nationwide sample of 1,740 caseworkers from 81 child welfare systems participating in the second National Survey of Child and Adolescent Wellbeing (NSCAW II). The participating child welfare systems were selected using a national probability procedure reflecting the number of children served by child welfare systems nationwide. RESULTS: The a priori OSC measurement model is confirmed in this nationwide sample of child welfare systems. In addition, caseworker responses to the OSC scales generate acceptable to high scale reliabilities, moderate to high within-system agreement, and significant between-system differences. Caseworkers in the child welfare systems with the best organizational culture and climate profiles report higher levels of job satisfaction and organizational commitment. Organizational climates characterized by high engagement and functionality, and organizational cultures characterized by low rigidity are associated with the most positive work attitudes. CONCLUSIONS: The OSC is the first valid and reliable measure of organizational culture and climate with US national norms for child welfare systems. The OSC provides a useful measure of Organizational Social Context for child welfare service improvement and implementation research efforts which include a focus on child welfare system culture and climate.
Authors: Rinad S Beidas; Steven Marcus; Courtney Benjamin Wolk; Byron Powell; Gregory A Aarons; Arthur C Evans; Matthew O Hurford; Trevor Hadley; Danielle R Adams; Lucia M Walsh; Shaili Babbar; Frances Barg; David S Mandell Journal: Adm Policy Ment Health Date: 2016-09
Authors: Emily M Becker-Haimes; Kelsie H Okamura; Courtney Benjamin Wolk; Ronnie Rubin; Arthur C Evans; Rinad S Beidas Journal: J Anxiety Disord Date: 2017-04-27
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Authors: Rinad S Beidas; Steven Marcus; Gregory A Aarons; Kimberly E Hoagwood; Sonja Schoenwald; Arthur C Evans; Matthew O Hurford; Trevor Hadley; Frances K Barg; Lucia M Walsh; Danielle R Adams; David S Mandell Journal: JAMA Pediatr Date: 2015-04 Impact factor: 16.193
Authors: Rinad Beidas; Laura Skriner; Danielle Adams; Courtney Benjamin Wolk; Rebecca E Stewart; Emily Becker-Haimes; Nathaniel Williams; Brenna Maddox; Ronnie Rubin; Shawna Weaver; Arthur Evans; David Mandell; Steven C Marcus Journal: Behav Res Ther Date: 2017-08-25
Authors: Laura C Skriner; Courtney Benjamin Wolk; Rebecca E Stewart; Danielle R Adams; Ronnie M Rubin; Arthur C Evans; Rinad S Beidas Journal: J Behav Health Serv Res Date: 2018-04 Impact factor: 1.505
Authors: Adriana Rodriguez; Chanel Zhan; Alison B Hamilton; Resham Gellatly; Joanna J Kim; Anna S Lau; Lawrence A Palinkas; Lauren Brookman-Frazee Journal: Prof Psychol Res Pr Date: 2020-07-02