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.
Coordinator
Dr. M. de Rooij
Room 3B14
Tel.: +31 (0)71 527 4102
E-Mail: rooijm@fsw.leidenuniv.nl
Aims
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.
Literature
Agresti, A. (2007). An introduction to categorical data analyis (Second Edition). Wiley.
Examination
Graded assignments during course.
From January 1th 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 take a look at the Additional Rules and Regulations, section 6.
Education method(s)
Lectures
Enrolment
Introduction and enrollment for courses of the first semester will take place August 27th 2009. Introduction and enrollment for courses of the second semester will take place in January 2010. More information will be available at the website of the Department of Psychology.
NB: Exam and re-exam registration will take place via U-Twist, and will be open between a month and a week before the (re)exam. Students who don’t register, cannot participate in the (re)exam.
Blackboard
Information available on Blackboard.