Analysis of Categorical and Ordinal Data

Sample survey research, which is prevalent in areas such as marketing research and organizational behavior, relies heavily on categorical and ordinal data. This course will prepare students to handle empirical categorical and ordinal datasets, and perform ordinary, polychromous and ordinal logistic regression, as well as multivariate log-linear modeling of categorical, ordinal, and mixed data. This course will cover the analysis of categorical and ordinal data when repeated measures or panel data are present. The course will emphasize important aspects of the statistical model underlying the methodology, limitations in applicability of the methods, and applications to real and simulated data. Statistical software packages such as, but not limited to SAS, SPSS and R will be used in the analysis.