Sociology | Longitudinal Methods
S651 | 10308-10309 | McManus


This applied topics course addresses statistical techniques for the
analysis of repeat observations over time.  The course draws on a
range of models from various social science disciplines, all with
special relevance to applications in sociology.  After a short
review of the regression model for continuous dependent variables,
topics include (1) error components and dynamic panel models, (2)
growth curve models of longitudinal data analysis, and (3) an
introduction to event history models.  Prerequisites for the course
are S554-Statistical Techniques in Sociology I (covering the linear
regression model, seemingly unrelated regressions, and systems of
simultaneous equations) and S650-Statistical Techniques in Sociology
II (covering probit, logit, ordered logit, Poisson regression,
negative binomial regression and related methods).