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Peer reviewedWillett, John B.; Singer, Judith D. – Journal of Consulting and Clinical Psychology, 1993
Shows how discrete-time survival analysis can address questions about onset, cessation, relapse, and recovery. Uses data on onset of suicide ideation and depression and relapse into cocaine use to introduce concepts underpinning method, describe action of discrete-time hazard model, and discuss main effects and interactions that can be included as…
Descriptors: Cocaine, Data Analysis, Depression (Psychology), Drug Use
Peer reviewedWillett, John B.; Singer, Judith D. – Journal of Educational and Behavioral Statistics, 1995
The multiple-spell discrete-time survival analysis method is introduced and illustrated using longitudinal data on exit from and reentry into the teaching profession. The method is applicable to many educational problems involving the sequential occurrence of disparate events or episodes. (SLD)
Descriptors: Cognitive Processes, Longitudinal Studies, Prediction, Research Methodology
Peer reviewedSinger, Judith D.; Willett, John B. – Journal of Educational Statistics, 1993
Using longitudinal data on career paths of 3,941 special educators, maximum likelihood estimators are derived for the parameters of a discrete-time hazard model, and it is shown that the model can be fit using standard logistic regression software. Illustrative computer codes from the Statistical Analysis System (SAS) are offered. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Estimation (Mathematics), Life Events
Peer reviewedLiang, Xiaoyan; Fuller, Bruce; Singer, Judith D. – Early Childhood Research Quarterly, 2000
Used discrete-time survival analysis technique to examine whether, and at what age, a national sample of 3,624 children first entered a childcare center. Found that after controlling for household-economic factors, the household's social structure and mother's language, childrearing beliefs, and practices predicted probability of selecting…
Descriptors: Black Mothers, Child Rearing, Comparative Analysis, Day Care
Download full textWillett, John B.; Singer, Judith D. – 1988
Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…
Descriptors: Computer Simulation, Computer Software, Data Analysis, Databases
