SubjectsSubjects(version: 953)
Course, academic year 2023/2024
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Selected topics in psychometrics - OIDQ1P107
Title: Selected topics in psychometry
Guaranteed by: Ústav výzkumu a rozvoje vzdělávání (41-UVRV)
Faculty: Faculty of Education
Actual: from 2023
Semester: both
E-Credits: 0
Hours per week, examination: 0/0, Ex [HT]
Extent per academic year: 20 [hours]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: combined
Teaching methods: combined
Additional information: https://www.cs.cas.cz/martinkova/NMST570.html
Note: you can enroll for the course in winter and in summer semester
Guarantor: doc. RNDr. Patrícia Martinková, Ph.D.
Teacher(s): doc. RNDr. Patrícia Martinková, Ph.D.
Annotation
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.
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Aim of the course
The goal of the course is to present the main topics of psychometrics and selected methods for the analysis of educational end psychological tests.
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Literature
Martinková, P., & Hladká, A. (2023). Computational Aspects of Psychometric Methods: With R (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003054313
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Teaching methods
Lecture and exercises.
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Requirements to the exam

Solution of assignments and defense of the final project.

Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Syllabus
  • 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)
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Entry requirements
Knowledge of basic statistical methods.
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
Registration requirements
Knowledge of basic statistical methods.
Last update: Martinková Patrícia, doc. RNDr., Ph.D. (01.10.2023)
 
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