Course: Psychometrics 2

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Course title Psychometrics 2
Course code PCH/PCH2D
Organizational form of instruction Lecture + Seminary
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Dostál Daniel, PhDr. Ph.D.
Course content
The course consists of three thematic blocks: - Introduction to epidemiology, sensitivity and specificity of a test, ROC analysis, procedures for determining the threshold value. - Item response theory (IRT), basic IRT models, DIF analysis and other techniques, adaptive testing, comparison IRT and CTT. - Structural modelling (path analysis, confirmatory factor analysis).

Learning activities and teaching methods
Lecture, Demonstration
  • Homework for Teaching - 56 hours per semester
  • Preparation for the Exam - 40 hours per semester
  • Attendace - 4 hours per semester
Learning outcomes
The aim of the course is to provide students with advanced methods of construction and quality assessment of psychodiagnostic tests.
Students will understand the principles of advanced methods of working with psychometric data and a construction of psychodiagnostic tests. They will also be able to the situations in which the introduced methods can be affectively used and the will be able to interpret their results.
Prerequisites
Successful completion of Statistical Methods in Psychology 1 and 2 and Psychometry 1 courses. The course can be completed without meeting these prerequisites.

Assessment methods and criteria
Mark, Oral exam, Written exam

The subject requires credit and examination. Students receive credit for active participation in lessons. The examination is in a written form and consists of a series of questions related to the course topics. There will be on one hand theoretical questions (e.g.. the properties of certain methods, explanation of some concepts etc.), on a second hand then they can involve an interpretation of the results of psychometric data and even minor calculations.
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester