Level (Niveau)
Master
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Prerequisites (Toelatingsvoorwaarden)
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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Objectives (Doelstelling)
Knowledge: Students obtain up-to-date knowledge and understanding of important - in the sense of most frequently used - models for the analysis of categorical dependent variables.
Skills: Students are able to apply categorical data models and to interpret the results of their analyses. Students are able to present the results of the analysis orally in class and by reporting them in papers.
Attitudes: Students obtain a healthy critical attitude toward the application of these models, the assumptions underlying them and the obtained results.
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Contents (Inhoud / Omschrijving)
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. The course subsequently discusses multilevel analysis of categorical dependent variables. 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.
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Literature (Literatuur)
Course reader: Categorical data analysis
A collection of publications applying the models is available at the beginning of the course.
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Teaching methods (Werkvormen)
Lectures, computer exercises and student presentations
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Coördinerend docent
Prof. dr. R.N. Eisinga
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Enrollment ( Inschrijving college )
This is not for the RM SCS |
Exam enrollment ( Inschrijving tentamen )
This is not for the RM SCS |
