Магистратура
2024/2025
Психометрические теории и анализ тестовых заданий
Статус:
Курс обязательный (Обучение и оценивание как наука)
Направление:
37.04.01. Психология
Кто читает:
Департамент образовательных программ
Где читается:
Институт образования
Когда читается:
1-й курс, 3, 4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Прогр. обучения:
Обучение и оценивание как наука
Язык:
английский
Кредиты:
6
Course Syllabus
Abstract
Prerequisite: basic knowledge in statistics.This course introduces the fundamental concept of modern measurement theory, including Rasch measurement approach and item response theory (IRT) approach. The course starts with a shortreview of classical test theory, its connection to item response theory and basic assumptions of the latter. Smooth transition to Rasch measurement includes such topics as basic principles and basic assumptions of Rasch measurement. While presented Rasch models for dichotomous and polytomous data the students will learn how Rasch analysis constructs linear measures from scored observations. Theoretical and practical aspects of data analysis, output interpretation and reporting will be introduced. In addition to presenting the Rasch model, the course covers some basic methods for parameter estimation and for assessing fit and dimensionality, as well as differential item functioning (DIF). Introduction to linking and equating problems will be done. Further, the course addresses a variety of other dichotomous and polytomous item response theory (IRT) models, such as 1PL, 2PL, and 3PL models, GRM and GPCM models, and extensions, including topics of multidimensional and multifaced modelling. The course is accessible for students without a sophisticated background in psychometrics or statistics, as well as for those who want to gain a deeper understanding on measurement principles. The use of Winsteps and R software demonstrate how to apply the basic psychometric analysis methods to real-world examples in education and psychology.