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Meta-analysis of turnover intention among child welfare workers

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  • معلومة اضافية
    • Contributors:
      Kao, Dennis T.; Bordnick, Patrick S.; Torres, Luis R.
    • الموضوع:
      2013
    • Collection:
      University of Houston Institutional Repository (UHIR)
    • نبذة مختصرة :
      High rates of turnover among public child welfare (CW) workers has a detrimental influence on social workers, clients and their families, agencies, and states. Although the severity and prevalence of the problem are well understood, it was only recently that research on turnover among CW workers became more popular. Our understanding of the phenomenon, however, is still lacking and requires quantitative research synthesis. To address this research gap, the purpose of this study is to conduct a meta-analysis of the existing literature on turnover intention among child welfare workers. Among 144 potentially qualifying studies, twenty two studies were included in this meta-analytic study. Utilizing Hunter and Schmidt (2004)'s method, this study quantitatively combined and analyzed 36 predictors from the included studies. Overall, predictors related to CW worker attitudes and perceptions (e.g., organizational commitment and job satisfaction) had the highest influence on turnover intention among CW workers. On the other hand, demographic predictors, such as age, race, and gender, showed small or negligible effects on turnover intention. Among work-related predictors, stress-related predictors and sub-factors of burnout had medium to high influence on turnover intention while predictors related to decision-making showed medium effect sizes. Among predictors in work environment category, various types of support predictors had varying influence on turnover intention while such variables as perceptions of fairness and policy had relatively high effect sizes of around .4. Several commonly-studied factors with proven validity, such as organizational commitment, stress, job satisfaction, professional commitment, and organizational climate, emerged as some of the strongest predictors. Other variables, such as perceptions of fairness, safety concern, and policy, were also shown to be strong predictors, but have received relatively less attention. While caseload is commonly thought of as one of major drivers of turnover, this ...
    • File Description:
      application/pdf; born digital
    • Relation:
      http://hdl.handle.net/10657/412
    • الدخول الالكتروني :
      http://hdl.handle.net/10657/412
    • Rights:
      The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
    • الرقم المعرف:
      edsbas.2416A910