Master’s students Methodology and Statistics, Research Master Students and PhDs.
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.
Learns the theory of Generalized Linear Models
Learns logistic regression and how to apply it in empirical data analysis
Learns generalizations of logistic regression for ordinal and nominal response categories
Learns loglinear models for the analysis of contingency tables
Learns the SPSS software modules for analyzing categorical data ;
Learns extensions of generalized linear models for clustered data
Categorical Data Analysis (2014-2015):
Students need to enroll for lectures and work group sessions. Please consult the Instructions registration
Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the date; students who are not registered will not be permitted to take the examination. Registering for exams
Mode of instruction
The course consists of 7 lectures
Two graded assignments and a written exam.
The Faculty of Social Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud
Information on blackboard.leidenuniv.nl
Agresti, A. (2007). An introduction to categorical data analyis (Second Edition). Wiley.
Dr. M . de Rooij
Tel.: +31 (0)71 527 4102