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Cited by 546

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

Occupational Stress, Burnout, and Health in Teachers: A Methodological and Theoretical Analysis

Guglielmi, R. Sergio, Tatrow, Kristin·1998·Review of Educational Research

Abstract

The health effects of teacher stress and teacher burnout are reviewed separately in this article. Although the literature generally lends support to the hypothesis that occupational stress and burnout are associated with poor health in teachers, confidence in this conclusion is weakened by the serious methodological and conceptual difficulties that pervade this area of research. In particular, reliance on cross-sectional retrospective designs, exclusive dependence on self-report measures, and failure to adopt a theoretical framework as a guide for empirical investigations are identified as major threats to the validity of the findings reported. It is concluded that this area of research is ready for a shift to theory-based investigations that test causal models of teacher stress and health with more sophisticated research designs and measurement strategies.

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Metadata

Authors
Guglielmi, R. S., & Tatrow, K.
Venue
Review of Educational Research
Published
1998
Volume
68
Issue
1
Pages
61
ISSN
0034-6543 (ISSN-L)
OpenAlex
W2105976506
Cited by
546
References
8
FWCI
35.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Occupational Stress, Burnout, and Health in Teachers: A Methodological and Theoretical Analysis. https://app.cochat.ai/papers/10.2307/1170690
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Guglielmi, R. S., & Tatrow, K. (1998). Occupational Stress, Burnout, and Health in Teachers: A Methodological and Theoretical Analysis. Review of Educational Research. https://doi.org/10.2307/1170690

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.