The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
From Whether to When: New Methods for Studying Student Dropout and Teacher Attrition
Abstract
Educational researchers studying student dropout and teacher attrition typically ask whether specific events occur by particular points in time. In this article, we argue that a more powerful and informative way of framing such questions is to ask when the transitions occur. We believe that researchers avoid asking questions about time-to-event (“When?”) because of methodological difficulties introduced when members of the sample do not experience the target events during the data collection period. These people—the students who do not graduate or drop out, the teachers who do not quit—possess censored event times. Until recently, statistical techniques available for analyzing censored data were in their infancy. In this article, we show how the methods of survival analysis (also known as event history analysis) lend themselves naturally to the study of the timing of educational events. Drawing examples from the literature on teacher attrition and student dropout and graduation, we introduce a panoply of survival methods useful for describing the timing of educational transitions and for building statistical models of the risk of event occurrence over time. We hope that this nontechnical introduction to survival methods will help educational researchers articulate and explore important substantive questions that they have raised but have yet to answer .
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Cites
Finn, J. D. (1989) · Review of Educational Research · doi:10.2307/1170412 · Cited by 2,702
Logistic regression, survival analysis, and the Kaplan-Meier curve.
Efron, B. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478612 · Cited by 1,065
Stages of Student Departure: Reflections on the Longitudinal Character of Student Leaving
Tinto, V. (1988) · The Journal of Higher Education · doi:10.2307/1981920 · Cited by 949
Cited by
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
Self-citationMa, X. (1999) · Journal for Research in Mathematics Education · doi:10.2307/749772 · Cited by 914
Ma, X., & Kishor, N. (1997) · Journal for Research in Mathematics Education · doi:10.2307/749662 · Cited by 731
Singer, J. D., & Willett, J. B. (1991) · Psychological Bulletin · doi:10.1037//0033-2909.110.2.268 · Cited by 414
Self-citationGrade Retention and School Dropout: Investigating the Association
Roderick, M. (1994) · American Educational Research Journal · doi:10.2307/1163393 · Cited by 349
Metadata
- Authors
- Willett, J. B., & Singer, J. D.
- Venue
- Review of Educational Research
- Publisher
- SAGE Publications
- Published
- 1991
- Volume
- 61
- Issue
- 4
- Pages
- 407
- ISSN
- 0034-6543 (ISSN-L)
- OpenAlex
- W2152439399
- Cited by
- 212
- References
- 3
- FWCI
- 8.46
- Type
- journal article
- Language
- en
- Open access
- closed
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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.