SubjectsSubjects(version: 849)
Course, academic year 2019/2020
   Login via CAS
Seminar in psychometrics - NMST571
Title in English: Seminář z psychometrie
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018
Semester: summer
E-Credits: 2
Hours per week, examination: summer s.:0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
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: 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 -
Last update: RNDr. Jitka Zichová, Dr. (09.05.2018)
Psychometrics uses statistical models for analysis of educational and psychological tests. This seminar covers selected topics in psychometrics in more depth.
Aim of the course -
Last update: RNDr. Patrícia Martinková, Ph.D. (08.05.2018)

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

Course completion requirements - Czech
Last update: RNDr. Patrícia Martinková, Ph.D. (08.05.2018)

Aktivní účast, vypracování seminární práce či prezentace referátu.

Literature - Czech
Last update: RNDr. Jitka Zichová, Dr. (29.04.2019)

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.

Teaching methods -
Last update: RNDr. Patrícia Martinková, Ph.D. (07.05.2018)

Seminar

Syllabus -
Last update: RNDr. Patrícia Martinková, Ph.D. (08.05.2018)

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.

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

Basic knowledge of statistical methods.

 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html