Meta-analysis of turnover intention among child welfare workers

dc.contributor.advisorKao, Dennis T.
dc.contributor.committeeMemberBordnick, Patrick S.
dc.contributor.committeeMemberTorres, Luis R.
dc.creatorKim, Hyosu 1975-
dc.date.accessioned2013-07-16T16:58:47Z
dc.date.available2013-07-16T16:58:47Z
dc.date.createdMay 2013
dc.date.issued2013-05
dc.date.updated2013-07-16T16:59:01Z
dc.description.abstractHigh 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 study showed that caseload had little effect on turnover intention of CW workers. This study highlights several key areas of further research. First, job performance and economy-related factors are rarely utilized in studies of turnover intention among CW workers and therefore, deserve greater attention. Second, studies with private CW workers were relatively small compared to studies with public CW workers. Third, there has been a conceptual confusion of turnover intention measures, which future research can help to further clarify. The theoretical and practical implications highlighted by this study are also discussed.
dc.description.departmentSocial Work, Graduate College of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/412
dc.language.isoeng
dc.rightsThe 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).
dc.subjectMeta-analysis
dc.subjectReview
dc.subjectChild welfare
dc.subjectChild
dc.subjectChild protective service
dc.subjectCps
dc.subjectTurnover
dc.subjectLeave
dc.subjectQuit
dc.subjectRetention
dc.subjectRetainment
dc.subjectRemain
dc.subjectStay
dc.subject.lcshSocial service
dc.titleMeta-analysis of turnover intention among child welfare workers
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeGraduate College of Social Work
thesis.degree.departmentSocial Work, Graduate College of
thesis.degree.disciplineSocial Work
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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