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Обычная версия сайта
30
Март

Categorical Data Analysis: Introductory and Advanced Topics

2021/2022
Учебный год
ENG
Обучение ведется на английском языке
5
Кредиты
Статус:
Курс по выбору
Когда читается:
1-й курс, 4 модуль

Course Syllabus

Abstract

In recent years the use of specialized methods for categorical data analysis has significantly increased in social science. Discrete variables have always used as standard measures in public opinion surveys and experimental studies. However, they also require methods that account for properties of probability distributions for categorical data. We will start our course with basics like contingency tables, and then move on to the modelling of binary, multinomial ordered and unordered outcomes. Such advanced topics as maximum likelihood estimation and optimization methods will be covered upon request. At the end of this course students will be able to conduct categorical data statistical analysis using the freeware package R and give a substantive interpretation of results.