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Cited by 777

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Burnout and Turnover Intention Among Social Workers: Effects of Role Stress, Job Autonomy and Social Support

Open access
Kim, Hansung, Stoner, Madeleine·2008·Administration in Social Work

Abstract

This study examines the main and interactive effects of role stress, job autonomy, and social support in predicting burnout and turnover intention among social workers. This study included a subsample of 346 social workers identified from a cross-sectional random survey of 1,500 California state-registered social workers. Adjusted for age, gender, organizational tenure, and annual salary, structural equation analyses revealed that role stress had a positive direct effect on burnout. The variables of social support and job autonomy had a negative direct effect on turnover intention, but not on burnout. Results showed that job autonomy interacted with role stress in predicting burnout, while social support interacted with role stress in predicting turnover intention. Study results suggest that creating decentralized job conditions is essential for preventing burnout, and that building supportive job conditions is needed to retain social workers who are experiencing high role stress.

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Crossref · 10.1080/03643100801922357

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Metadata

Authors
Kim, H., & Stoner, M.
Venue
Administration in Social Work
Published
2008-06-13
Volume
32
Issue
3
Pages
5-25
ISSN
  • 0364-3107 (ISSN-L)
  • 1544-4376
OpenAlex
W2076337672
Cited by
777
References
8
FWCI
17.37
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Burnout and Turnover Intention Among Social Workers: Effects of Role Stress, Job Autonomy and Social Support. https://app.cochat.ai/papers/10.1080/03643100801922357
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Kim, H., & Stoner, M. (2008). Burnout and Turnover Intention Among Social Workers: Effects of Role Stress, Job Autonomy and Social Support. Administration in Social Work. https://doi.org/10.1080/03643100801922357

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.