PSYn4790 Psychometrics

Faculty of Social Studies
Autumn 2024
Extent and Intensity
2/0/0. 5 credit(s). Type of Completion: zk (examination).
Taught in person.
Teacher(s)
Mgr. Hynek Cígler, Ph.D. (lecturer)
doc. Mgr. et Mgr. Jan Šerek, Ph.D. (lecturer)
Mgr. et Mgr. Petr Palíšek (seminar tutor)
doc. Mgr. Stanislav Ježek, Ph.D. (alternate examiner), Mgr. Petra Hubatková (deputy)
Guaranteed by
Mgr. Hynek Cígler, Ph.D.
Department of Psychology – Faculty of Social Studies
Contact Person: Mgr. Hynek Cígler, Ph.D.
Supplier department: Department of Psychology – Faculty of Social Studies
Prerequisites
! PSY479 Psychometrics
Although the course does not have any explicit prerequisites, it is a based on the basic knowledge from the bachelor's courses - in particular PSY259 Introduction to Psychometrics, PSY112 Research methods in psychology, PSY117 Statistical Analysis in Psychology and PSY252 Statistical data analysis II.
It is recommended to enroll this course before or concurrently with psychodiagnostic courses.
Students who have not completed PSY259 Introduction to Psychometrics are strongly advised to go through the course materials at the beginning of the semester. The content of the course PSY259 will form part of the exam.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course focuses on methodological and statistical procedures in psychology including their epistemological foundation. It is divided into three topics.

  • The first part of the course is devoted to psychometrics as such.
  • The second part focuses on the methodological aspects of measuring interindividual differences and psychological research; it should be a bridge over the false dichotomy of “qualitative” and “quantitative” paradigms in science.
  • The last part deals with the epistemology of human measurement.

    The course also includes practical skills in psychometric analyses.
    • Learning outcomes
    The aim of the course is to augment students' knowledge and practical basis for independent work in the construction of psychological diagnostic methods for individual use and use in research based on mixed-methods designs.
    Syllabus
    • Foundation and basic concepts of measurement in psychology: validity, reliability, objectivity, standardization
    • Measurement error and reliability within CTT and Factor analysis, advanced topics
    • Item Response Theory and Rasch Model I
    • Item Response Theory and Rasch Model II
    • Generalizability theory, other psychometrics models (in particular Network Models)
    • Fairness, test and response bias
    • Inter-rater reliability
    • Meta-analysis, replication crisis and consequences for research
    • Mixed-methods research I. (foundation)
    • Mixed-methods research II. (validity and trustworthiness)
    • Mixed-methods research III. (frameworks of interpretation and generalization)
    • Epistemology I.
    • Epistemology II.
    Literature
      required literature
    • FURR, R. Michael. Psychometrics : an introduction. Third edition. Los Angeles: Sage, 2018, xxiii, 543. ISBN 9781506389875. info
      recommended literature
    • HOGAN, Thomas P. Psychological testing : a practical introduction. 3rd ed. Hoboken, NJ: John Wiley & Sons, 2015, xxi, 674. ISBN 9781118554128. info
    • URBÁNEK, Tomáš, Denisa DENGLEROVÁ and Jan ŠIRŮČEK. Psychometrika : měření v psychologii. Vydání první. Praha: Portál, 2011, 319 stran. ISBN 9788073678364. URL info
    Teaching methods
    Course consists of short, thematically based lectures and interactive class work. Individual work is supported via on-line discussion and concurrent feedback on group projects.
    Assessment methods
    The final assessment consists of:
  • Written exam 1
  • Written exam 2
  • Seminar work
  • Final oral exam
    • Language of instruction
    Czech
    Further comments (probably available only in Czech)
    The course is taught annually.
    The course is taught: every week.
    The course is also listed under the following terms Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
    • Enrolment Statistics (Autumn 2024, recent)
    • Permalink: https://is.muni.cz/course/fss/autumn2024/PSYn4790