Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Psychometrics uses statistical models for the analysis of educational and psychological tests. This course covers main topics in psychometrics, such as traditional item analysis, reliability, and validity of measurement, use of logistic and nonlinear regression models, item response theory models, differential item functioning, computerized adaptive testing, etc. Methods are demonstrated using data from the Czech matura examination, admission tests, and other assessments. Exercises are prepared in freely available statistical software R, and other psychometric software is also introduced.
Aim of the course
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
The goal of the course is to present the main topics of psychometrics and selected methods for the analysis of educational end psychological tests.
Literature
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Martinková, P., & Hladká, A. (2023). Computational Aspects of Psychometric Methods: With R (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003054313
Teaching methods
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Lecture and exercises.
Requirements to the exam
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Solution of assignments and defense of the final project.
Syllabus
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Introduction to educational measurement
Traditional item analysis
Reliability and validity
Regression models for item description
Item response theory (IRT) models
Differential item functioning (DIF)
Computerized adaptive testing (CAT)
Entry requirements
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
Knowledge of basic statistical methods.
Registration requirements
Last update: doc. RNDr. Patrícia Martinková, Ph.D. (01.10.2023)
