Анализ категорийных переменных

2024/2025

Статус: Маго-лего

Кто читает: Международная лаборатория прикладного сетевого анализа

Когда читается: 4 модуль

Охват аудитории: для своего кампуса

Преподаватели: Павлова Ирина Анатольевна

Язык: русский

Кредиты: 3

Полная версия программы учебной дисциплины

Аннотация

This course is designed to introduce basic concepts and common statistical models and analyses for categorical data; to provide enough theory, examples of applications in a variety of disciplines (especially in social and behavioral science); and practice using categorical techniques and computer software so that students can use these methods in their own research; to attain knowledge necessary to critically read research papers that use such methods.

Цель освоения дисциплины

The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.

Планируемые результаты обучения

Be able to work with major linear modeling programs, especially SAS, so that they can use them and interpret their output.
Have the skill to work with statistical software, required to analyze the data.
Be able to develop and/or foster critical reviewing skills of published empirical research using applied statistical methods.
Have the skill to meaningfully develop an appropriate model for the research question.
Be able to interpret the results of models with non-linear outcomes.
Be able to to criticize constructively and determine existing issues with applied linear models in published work .
Have an understanding of the basic principles of binary models and lay the foundation for future learning in the area.
Know the approaches to building the binary logit and probit models.
Know the foundation of multinomial logit models.
Know the most fundamental regression models for binary, ordinal, nominal and count outcomes.