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Lecturer(s)
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Dostál Daniel, PhDr. Ph.D.
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Course content
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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).
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Learning activities and teaching methods
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Lecture, Demonstration, Work Activities
- Attendace
- 20 hours per semester
- Homework for Teaching
- 55 hours per semester
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Learning outcomes
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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.
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Prerequisites
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The prerequisite is a basic knowledge of psychometric theories, within the scope of Psychometrics 1. Since much of the knowledge will be of a practical nature, at least a basic knowledge of the R programming language is welcome.
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Assessment methods and criteria
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Mark, Written exam, Analysis of Creative works (Music, Pictorial,Literary), Dialog
The course is finished with a credit and an exam. Students receive credit for active participation in lessons. Due to the conversational nature of the course, students are not tested - they demonstrate their knowledge by interacting with the teacher during class.
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Recommended literature
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Jelínek, M., Květon, P., Vobořil, D. (2011). Testování v psychologii: Teorie odpovědi na položku a počítačové adaptivní testování. Brno.
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Urbánek, T. (2000). Strukturální modelování v psychologii. Brno.
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Urbánek, T., Denglerová, D., Širůček, J. Psychometrika: Měření v psychologii. Praha.
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