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Categorical Data Analysis


Admission requirements

Master students Methodology and Statistics


In this course the focus will be on the analysis of categorical data. The course starts with basic theory on contingency tables and distributions for categorical data. Then from the general framework of Generalized Linear Models special cases are developed like logistic regression, multinomial logistic regression and log-linear models. Software, model selection and interpretation will be discussed for the models.
After this introduction attention shifts to models for longitudinal categorical data, where we distinguish between marginal, transitional and subject specific models.

Course objectives

The student:

  • Acquires a general overview of statistical models for categorical data analysis;

  • Learns statistical software for categorical data analysis;

  • Acquires an overview of current research topics for categorical data.


Categorical Data Analysis (2013-2014):

Mode of instruction

7 Lectures

Assessment method

Graded assignments and a written exam.

From January 1, 2006 the Faculty of Social Sciences has instituted the Ephorus system to be used by instructors for the systematic detection of plagiarism in students’ written work. Please see the information concerning fraud .


Information on

Reading list

Agresti, A. (2007). An introduction to categorical data analyis (Second Edition). Wiley.


Master’s introduction and enrolment day

Make a reservation in your agenda so you will not miss any information that you will need during your master’s programme MSc in Psychology. Please consult the Agenda master meetings

Exam registration

Students must register for each examination. Students, who haven’t registered, cannot participate in an exam

Contact information

Dr. M . de Rooij

Room 3B21
Tel.: +31 (0)71 527 4102