2026/2027
Факторный анализ и моделирование структурными уравнениями
Статус:
Маго-лего
Кто читает:
Департамент образовательных программ
Где читается:
Институт образования
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Грачева Дарья Александровна
Язык:
русский
Кредиты:
3
Контактные часы:
36
Программа дисциплины
Аннотация
This course introduces advanced statistical methods and modeling approaches commonly used in psychometrics and the analysis of psychological, sociological, and educational data. It is designed to familiarize students with the theoretical foundations and practical applications of Confirmatory Factor Analysis (CFA) and the Structural Equation Modeling (SEM) framework. The course also covers key concepts such as mediation and moderation within SEM, as well as approaches to testing measurement invariance across groups. Emphasis is placed on both conceptual understanding and applied data analysis, enabling students to critically evaluate models and implement them in empirical research. Prerequisites: Basic knowledge of statistics and experience working with R.
Цель освоения дисциплины
- The objective of this course is to equip students with the knowledge and analytical skills required to apply Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) in psychological and educational research. The course aims to develop students' ability to formulate and test complex theoretical models, evaluate measurement quality, assess mediation, moderation, and measurement invariance, and critically interpret model results in R.
Планируемые результаты обучения
- Capable of calibrating, selecting, improving model quality, and interpreting CFA models
- Capable of calibrating, re-norming and interpreting parameters of IRT models in CFA parametrization
- Capable of conducting path analysis, including mediation and moderation
- Capable of calibrating, selecting and interpreting unidimensional, multidimensional, second-order and bifactor CFA models.
- Capable of performing measurement invariance analyses for different types of data and compare the fit of nested models
Содержание учебной дисциплины
- Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM)
- Relations between IRT and CFA
- Second order and bifactor models
- Measurement invariance (MI) and Differential Item Functioning (DIF)
- Path analysis and SEM
Промежуточная аттестация
- 2026/2027 4th module0.3 * Final Test + 0.4 * Homework + 0.2 * Article Discussion + 0.1 * R Exercises
