Admission requirements
Master students Methodology and Statistics
Description
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.
Timetable
Categorical Data Analysis (2012-2013):
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 .
Blackboard
Information on blackboard.leidenuniv.nl
Reading list
Agresti, A. (2007). An introduction to categorical data analyis (Second Edition). Wiley.
Registration
Course enrolment
Students need to enrol for the course via uSis on the master’s introduction and course enrolment day that takes place at the start of each semester. Please, consult the master’s agenda Psychology.
Exam registration
Students must register for each examination. Students, who haven’t registered, cannot participate in an exam
Contact information
Dr. H.M. Worku
Room 3B23
Tel.: +31 (0)71 527 6623
E-mail: h.m.worku@fsw.leidenuniv.nl