Content |
This course gives an introduction to methods and models for the analysis of categorical dependent variables and their application in comparative social science research. It first considers the binomial logistic model for the analysis of binary responses. It then discusses two models for analysing unordered categorical dependent variables, i.e., multinomial logistic models and conditional logistic (or discrete-choice) models. Next to these issues, a smash board of topics directly related to categorical data modelling will be discussed. Students complete exercises in categorical data modelling and write papers on their findings. |
Levels |
Master |
Test information |
Papers and oral presentations |
Prerequisites |
It is assumed that students have prior knowledge such as that covered in a typical applied linear regression course at the BA-level. |
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