Course: Psychometrics 1

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Course title Psychometrics 1
Course code PCH/SPCHM
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
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
Students will become familiar with the following topics: - Psychometrics and its history - Measurement in psychology and its pitfalls - Classical test theory (CTT) - Types and characteristics of diagnostic methods - Evidence of the test reliability - Evidence of the test validity - Standards and standardization - Development and analysis of test items - Exploratory factor analysis

Learning activities and teaching methods
Lecture, Work with Text (with Book, Textbook)
  • Homework for Teaching - 14 hours per semester
  • Preparation for the Exam - 20 hours per semester
  • Attendace - 36 hours per semester
  • Semestral Work - 30 hours per semester
Learning outcomes
The aim of the course is to provide students with knowledge about the measurement of mental properties, construction and exploration of psychodiagnostic tests. Furthermore, students gain skills for working with data - especially the ability to calculate raw scores and weighted scores of psychological tests to verify their reliability, quantitative evaluation of individual items and so on.
In addition to the knowledge of psychometry theory, students acquire the following competencies to analyze psychometric data: The calculation of the raw scores (+ imputation of missing values) Calculation of weighted scores as linear transformation of raw score Calculation of weighted scores (nonlinear) using a table Treating inverse scored items Machine identification of apparently incorrect observation Estimating the reliability as a stability in time Estimating reliability of parallel forms Computation of split-half reliability Computation of reliability as an internal consistency Using SpearmanBrown "prophecy" formula Dealing with attenuation of correlation coefficient caused with imperfect reliability Identification of problematic items with their relationship to the total score Using interrater agreement (Kappa) coefficients Determination of the number of factors suitable for extraction using a scree plot and other tools Extraction of factors, their rotation and interpretation factor charges Calculation of the factor scores for each respondent Determination of interval estimation for raw score based on reliability estimates
Prerequisites
Knowledge of methodology of psychological research and statistical data analysis.

Assessment methods and criteria
Written exam

The course is completed by credit and examination. Credit is awarded for the development of a team project. Students work in teams of 1 to 5 people to create a test, administer it online to a group of volunteers and then verify the psychometric qualities of the test (reliability, factor structure...). The test is administered as a computer-based test. The test will combine both theoretical questions and practical tasks requiring work with data in MS Excel and Statistica. The theoretical topics correspond to the presentation used.
Recommended literature
  • Urbánek, T., Denglerová, D., & Širůček, J. (2011). Psychometrika: měření v psychologii. Praha: Portál.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Data Analyst in Social Sciences (2023) Category: Social sciences 3 Recommended year of study:3, Recommended semester: Winter