SubjectsSubjects(version: 970)
Course, academic year 2018/2019
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Seminar in psychometrics - NMST571
Title: Seminář z psychometrie
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018 to 2022
Semester: summer
E-Credits: 2
Hours per week, examination: summer s.:0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Additional information: http://www.cs.cas.cz/martinkova/NMST571
Note: you can enroll for the course repeatedly
Guarantor: doc. RNDr. Patrícia Martinková, Ph.D.
Teacher(s): doc. RNDr. Patrícia Martinková, Ph.D.
Class: Pravděp. a statistika, ekonometrie a fin. mat.
M Mgr. PMSE
M Mgr. PMSE > Volitelné
Classification: Mathematics > Probability and Statistics
Annotation -
Psychometrics uses statistical models for analysis of educational and psychological tests. This seminar covers selected topics in psychometrics in more depth.
Last update: Zichová Jitka, RNDr., Dr. (09.05.2018)
Aim of the course -

Goal of the seminar is to present and discuss selected methods for analysis of educational end psychological tests.

Last update: Martinková Patrícia, doc. RNDr., Ph.D. (16.02.2021)
Course completion requirements - Czech

Aktivní účast, vypracování seminární práce či prezentace referátu.

Last update: Martinková Patrícia, doc. RNDr., Ph.D. (16.02.2021)
Literature

Rao, C. R. & Sinharay S. (2006). Handbook of Statistics. Volume 26: Psychometrics. Amsterdam, NL : Elsevier.

van der Linden, W. J. (2016). Handbook of item response theory: Models, statistical tools, and applications (Vols.1-3). Boca Raton, FL: Chapman & Hall/CRC.

Last update: Zichová Jitka, RNDr., Dr. (29.04.2019)
Teaching methods -

Seminar

Last update: Martinková Patrícia, doc. RNDr., Ph.D. (07.05.2018)
Syllabus -

Seminar covers selected topics in psychometrics such as traditional item analysis, gaining proofs of test reliability and validity, item response theory models, differential item functioning, computerized adaptive testing, etc. It also presents implementation of these methods on real data from admission tests and other assessments.

Last update: Martinková Patrícia, doc. RNDr., Ph.D. (17.02.2021)
Registration requirements -

Basic knowledge of statistical methods.

Last update: Zichová Jitka, RNDr., Dr. (30.05.2019)
 
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