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Обычная версия сайта
2026/2027

Факторный анализ и моделирование структурными уравнениями

Статус: Маго-лего
Охват аудитории: для всех кампусов НИУ ВШЭ
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

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

Планируемые результаты обучения

  • Calibrates, selects, improves model quality, and interprets CFA models
  • Calibrates, re-norms and interprets parameters of IRT models in CFA parametrization
  • Calibrates, selects and interprets unidimensional, multidimensional, second-order and bifactor CFA models
  • Performs measurement invariance analyses for different types of data and compares the fit of nested models
  • Conducts path analysis, including mediation and moderation
  • Calibrates and interprets alternative CFA specifications (e.g., bifactor, second-order, multidimensional)
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM)
  • Relations between IRT and CFA
  • Alternative CFA specifications
  • Measurement invariance (MI)
  • Path analysis and SEM
Элементы контроля

Элементы контроля

  • неблокирующий R Exercises
  • неблокирующий Homework
  • неблокирующий Article Discussion
  • неблокирующий Final Test
Промежуточная аттестация

Промежуточная аттестация

  • 2026/2027 4th module
    0.3 * Final Test + 0.4 * Homework + 0.2 * Article Discussion + 0.1 * R Exercises
Список литературы

Список литературы

Рекомендуемая основная литература

  • Confirmatory factor analysis for applied research, Brown, T. A., 2006

Рекомендуемая дополнительная литература

  • Handbook of structural equation modeling, , 2012

Авторы

  • Грачева Дарья Александровна