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Cited by 1,189

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Teacher Attrition and Retention: A Meta-Analytic and Narrative Review of the Research

Borman, Geoffrey D., Dowling, N. Maritza·2008·Review of Educational Research

Abstract

This comprehensive meta-analysis on teacher career trajectories, consisting of 34 studies of 63 attrition moderators, seeks to understand why teaching attrition occurs, or what factors moderate attrition outcomes. Personal characteristics of teachers are important predictors of turnover. Attributes of teachers’ schools, including organizational characteristics, student body composition, and resources (instructional spending and teacher salaries), are also key moderators. The evidence suggests that attrition from teaching is (a) not necessarily “healthy” turnover, (b) influenced by various personal and professional factors that change across teachers’ career paths, (c) more strongly moderated by characteristics of teachers’ work conditions than previously noted in the literature, and (d) a problem that can be addressed through policies and initiatives. Though researchers have utilized a number of national and state databases and have applied economic labor theory to questions related to teacher attrition, the authors argue that better longitudinal data on teacher career paths and more nuanced theories are needed.

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Metadata

Authors
Borman, G. D., & Dowling, N. M.
Venue
Review of Educational Research
Published
2008-09
Volume
78
Issue
3
Pages
367-409
ISSN
  • 0034-6543 (ISSN-L)
  • 1935-1046
OpenAlex
W2129232060
Cited by
1,189
References
2
FWCI
36.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Teacher Attrition and Retention: A Meta-Analytic and Narrative Review of the Research. https://app.cochat.ai/papers/10.3102/0034654308321455
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Borman, G. D., & Dowling, N. M. (2008). Teacher Attrition and Retention: A Meta-Analytic and Narrative Review of the Research. Review of Educational Research. https://doi.org/10.3102/0034654308321455

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

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