ESOn4020 Categorical Data Analysis in Sociology

Fakulta sociálních studií
jaro 2021
Rozsah
1/1/0. 10 kr. Ukončení: zk.
Vyučující
prof. PhDr. Tomáš Katrňák, Ph.D. (přednášející)
Garance
prof. PhDr. Tomáš Katrňák, Ph.D.
Katedra sociologie – Fakulta sociálních studií
Kontaktní osoba: Ing. Soňa Enenkelová
Dodavatelské pracoviště: Katedra sociologie – Fakulta sociálních studií
Rozvrh
St 10:00–11:40 bude_upresneno
Předpoklady
Optional class, that is intended for students studying for a master’s degree in sociology at the Faculty of Social Sciences at Masaryk University.
Omezení zápisu do předmětu
Předmět je určen pouze studentům mateřských oborů.

Předmět si smí zapsat nejvýše 25 stud.
Momentální stav registrace a zápisu: zapsáno: 0/25, pouze zareg.: 0/25
Mateřské obory/plány
Cíle předmětu
Learn to analyse sociological data using log-linear modelling and variants of logistic regression.
Výstupy z učení
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).
Osnova
  • 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
Literatura
    povinná literatura
  • AGRESTI, Alan. An introduction to categorical data analysis. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2007, xvii, 372. ISBN 9780471226185. info
  • LONG, J. Scott a Jeremy FREESE. Regression models for categorical dependent variables using Stata. 2nd ed. Texas: Stata corporation, 2006, xxxii, 527. ISBN 9781597180115. info
  • POWERS, Daniel A. a Yu XIE. Statistical methods for categorical data analysis. 2nd ed. Bingley: Emerald Group, 2008, xvii, 317. ISBN 9780123725622. info
Výukové metody
lecture, seminar, work with data and their analysis
Metody hodnocení
written test, presentation of analysis of categorical data
Vyučovací jazyk
Angličtina
Další komentáře
Studijní materiály
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.muni.cz/predmet/fss/jaro2021/ESOn4020