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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 (2010-2011):

Mode of instruction


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.


Introduction and enrolment for courses of the first semester will take place on 2 September 2010. Introduction and enrolment for courses of the second semester will take place on 27 January 2011. More information will be available at the website of the Institute of Psychology.

NB: Exam registration will take place via uSis, and will be open between a month and a week before the (re)exam. Students who haven’t registered, cannot participate in the exam.

Contact information

Dr. M. de Rooij
Room 3B14
Tel.: +31 (0)71 527 4102