Penn State Population Research Institute

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Eleventh Annual Demography Graduate Student Methodology Workshop

Event History Modeling With Latent Variables

Monday, August 9, 2004 The Nittany Lion Inn, The Pennsylvania State University
Ballroom C
Organized by the PRI Graduate Student Workshop Committee
Latrica E. Best, Jacob Cheadle, Mira M. Hidajat, Paul-Philippe Pare, Mindy Scott Sponsored by The Population Research Institute (PRI) at Pennsylvania State University
Registration is CLOSED

Workshop Sessions:

9:00 a.m.	Opening and Welcome Dr. Paul Amato, Interim Department Head and Professor of Sociology, Demography, and Family Studies at Pennsylvania State University
9:05-10:45 a.m.	Session One: Multi-level discrete time hazard modeling Dr. Sean Reardon, Associate Professor of Education and Sociology at Pennsylvania State University Suggested Readings: Reardon, Sean F., Robert T. Brennan, and Stephen L. Buka. 2002. "Estimating multi-level discrete-time hazard models using cross-sectional data: Neighborhood effects on the onset of adolescent cigarette use." Multivariate Behavioral Research, 37(3): 297-330. Barber, Jennifer, Susan Murphy, William G. Axinn, and Jerry Maples. 2000. "Discrete Time Multilevel Survival Analysis". Sociological Methodology 30: 201-235.
10:45-11:00 a.m.	Refreshments
11:00-1:00 p.m.	Session Two: Discrete-time survival analysis using latent variables Dr. Katherine E. Masyn, Postdoctoral Fellow at Johns Hopkins University Suggested Readings: Masyn, K.E. 2003. "Discrete-time survival mixture models for single and recurrent events using latent variables." Dissertation. Los Angeles: University of California. (Paper and abstract available at the MPlus Website. Singer, J.D., & Willet, J.B. 1993. "It's about time: Using discrete-time survival analysis to study duration and the timing of events." Journal of Educational Statistics, 18, 155-195. Vermunt, J.K. 2002. "A general latent class approach to unobserved heterogeneity in the analysis of event history data." In J.A. Hagenaars & A.L. McCutcheon (Eds.), Applied latent class analysis (pp. 383-407). Cambridge: Cambridge University Press.
1:00-2:00 p.m.	Informal luncheon with the speakers

Registration is CLOSED

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If you need to cancel your registration, please send an email to workshop_reg@pop.psu.edu with the subject heading WORKSHOP CANCELLATION.

A brief introduction of the speakers:

Sean Reardon received his Ed. D. from the Harvard Graduate School of Education in 1997. His research interests include the effects of community and neighborhood context on adolescent development and behavior, issues of social class, race, and stratification in U.S. schools and society, and the dynamics of adult-adolescent relationships. His most recent awards include the Carnegie Scholars Program Fellowship (2004-06), the William T. Grant Faculty Scholars Award (2002-07), and the National Academy of Education/Spencer Foundation Postdoctoral Fellowship (2002-04).

Katherine E. Masyn received her Ph.D. from the UCLA Graduate School of Education and Information Studies in 2003. Her research interests include latent variable growth models, finite mixture models, discrete-time survival analysis, latent class enumeration in growth and survival mixture modeling, and effect estimation in quasi-experimental and observational studies with application areas in prevention science, childhood aggression, alcohol and substance abuse behavioral co-morbidities, and teacher retention in urban school settings. For her complete CV, click here.

For more information, please contact workshop@pop.psu.edu

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