Introduction to panel analysis
Johanne Boisjoly is a full professor at the Université du Québec à
Rimouski, since 1982. She has a Ph.D. in Sociology from the University
of Montreal. Her main interests are in Methodology, Statistical Methods
applied to the study of socio-economic inequalities. While spending two
years at the Institute for Social Research at the University of Michigan
(1993-1995), she was involved in numerous research project involving the
analysis of the Panel Study of Income Dynamics 25-year data. She is
currently working on two new longitudinal data analysis projects using
the Add Health data (National Longitudinal Study of Adolescent Health,
University of North Carolina at Chapel Hill), with Greg J. Duncan
(Northwestern University) and Kathleen M. Harris (University of North
Carolina); and the Canadian Panel Survey data: Survey of Labor and
Income Dynamics, with Paul Bernard and Stéphane Crespo (Université de
Montréal).
Introduction to longitudinal data: censoring and time-varying explanatory
variables.
Descriptive methods: the survival analysis. Event history methods.
Discrete-Time Method using Logistic Regression Models. Introduction to
parametric methods. The Proportional-Hazards Model (Cox regression).
Introduction to the various Statistical Packages that provide Event History
analysis methods: SPSS, SAS, STATA, TDA. Overview of advanced topics.
The objective of this workshop will be to acquire a practical knowledge of
event history data analysis. It will involve the use of SPSS to analyse
longitudinal data. There will also be a special emphasis put on the data
construction issues involved in longitudinal data analysis.
Bibliography
Basic text/overview
Allison, Paul D. Event History Analysis. Regression for Longitudinal Event
Data. Quantitative Applications in the Social Sciences, # 46, Sage: Beverly
Hills, 1984.
This is a book that covers a significant part of what we will be covering
in the course. Students, of course, do not need to read and understand
everything in the book before the class, but a pre-reading of the first two
chapters will give them a good overview of what is involved in Event
History Analysis.
Also, in the SPSS Advanced Statistics book, the chapters on Logistic
Regression, on Kaplan-Meier Survival Analysis and on Cox Regression.
Remedial Reading
- Lewis-Beck, Michael S. Applied Regression. An introduction. Quantitative
Applications in the Social Sciences, #22, Sage: Beverly Hills, 1980.
-
Aldrich, J.H., Forrest D. Nelson. Linear Probability, Logit, and Probit
Models. Quantitative Applications in the Social Sciences, #45, Sage:
Beverly Hills, 1984.
Main references (used during the workshop)