ESOn4020 Categorical Data Analysis in Sociology

Faculty of Social Studies
Spring 2021
Extent and Intensity
1/1/0. 10 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. PhDr. Tomáš Katrňák, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Tomáš Katrňák, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Timetable
Wed 10:00–11:40 bude_upresneno
Prerequisites
Optional class, that is intended for students studying for a master’s degree in sociology at the Faculty of Social Sciences at Masaryk University.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25
fields of study / plans the course is directly associated with
Course objectives
Learn to analyse sociological data using log-linear modelling and variants of logistic regression.
Learning outcomes
This course is practical, it focuses on the analysis and interpretation of categorical data from sociological surveys. It is a workshop in which students learn to work with two statistical techniques, which have been used in the analysis of categorized data in social sciences since the second half of the 1980s. Students will learn to work with two statistical programs: LEM (for log-linear and log-multiplicative models) and STATA (for individual variants of logistic regression).
Syllabus
  • 1) Course introduction: introduction of the topics and organization of the course
  • 2) Basic concepts of log-linear modelling and introduction to the LEM program
  • 3) Two-dimensional and multidimensional contingency tables 4) Basic hierarchical log-linear models
  • 5) More advanced log-linear models: topology, association, multiplication
  • 6) Group presentations of data analysis using log-linear multiplicative models
  • 7) Reading week for self-study and revision
  • 8) Introduction of the Stata program and introduction to logistic regression
  • 9) Logistic regression for a dependent variable of two categories
  • 10) Predictors in logistic regression and their interpretation
  • 11) Beyond the binary logistic regression: ordinal and multinomial logistic regression I
  • 12) Beyond the binary logistic regression: ordinal and multinomial logistic regression I
  • 13) Group presentations of data analysis using log-linear and log-multiplicative models
Literature
    required literature
  • AGRESTI, Alan. An introduction to categorical data analysis. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2007, xvii, 372. ISBN 9780471226185. info
  • LONG, J. Scott and Jeremy FREESE. Regression models for categorical dependent variables using Stata. 2nd ed. Texas: Stata corporation, 2006, xxxii, 527. ISBN 9781597180115. info
  • POWERS, Daniel A. and Yu XIE. Statistical methods for categorical data analysis. 2nd ed. Bingley: Emerald Group, 2008, xvii, 317. ISBN 9780123725622. info
Teaching methods
lecture, seminar, work with data and their analysis
Assessment methods
written test, presentation of analysis of categorical data
Language of instruction
English
Further Comments
Study Materials
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/spring2021/ESOn4020