PSY028_E Data Analysis

Faculty of Social Studies
Spring 2018
Extent and Intensity
0/0/0. 10 credit(s) (from 5 credits increase by 5). Type of Completion: z (credit).
Teacher(s)
Mgr. Hynek Cígler, Ph.D. (lecturer)
doc. Mgr. Stanislav Ježek, Ph.D. (lecturer)
Mgr. Michal Šimeček, Ph.D. (lecturer)
Mgr. Adam Ťápal, M.A. (lecturer)
Guaranteed by
doc. Mgr. Stanislav Ježek, Ph.D.
Department of Psychology – Faculty of Social Studies
Contact Person: doc. Mgr. Stanislav Ježek, Ph.D.
Supplier department: Department of Psychology – Faculty of Social Studies
Timetable of Seminar Groups
PSY028_E/Diskretni_volby: No timetable has been entered into IS. S. Ježek, M. Šimeček, A. Ťápal
PSY028_E/IRT: No timetable has been entered into IS. H. Cígler, S. Ježek, A. Ťápal
Prerequisites
---- IRT ----
In order to successfuly finish the course, the student should have a basic knowledge of R, although any student will have the time to catch up with R during the beginning of the semester. At the same time, student's elementary knowledge of statistics, research methodology and psychometrics (Undergraduate and Master's level) is expected.
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---- Discrete choice analysis ----
Elementary knowledge of statistics and research methodology (Undergraduate and Master's level).
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
there are 12 fields of study the course is directly associated with, display
Course objectives
---- IRT ----
The topics from Item Response Theory will be well-understood by the student.
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---- Discrete choice analysis ----
The goals of the course are to get acquainted with discrete choice research, its applications, its typical research design, analysis and interpretation.
Learning outcomes
---- IRT ----
The student will be able to apply IRT in both basic and applied research. They will also gain the necessary competence for independent further study of more advanced IRT-related topics.
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---- Discrete choice analysis ----
The student will be able to design a simple experimental study for the research of stated preferences, and will have the necessary knowledge about respective data analyses and basic interpretation.
Syllabus
  • ---- IRT ----
  • 1. Epistemological foundations of IRT models. Rasch model.
  • 2. Multi-parametric IRT models; models for polytomous responses.
  • 3. How to routinely analyse items using the Rasch model.
  • 4. IRT as an example of full-information item factor analysis. mIRT.
  • 5. Multigroup IRT (MG IRT), DIF analysis.
  • 6. Generalization of the Rasch model as a log-linear or a GLMM model.
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  • ---- Discrete choice analysis ----
  • 1. Foundations of discrete choice research
  • 2. Experimental design
  • 3. Experimental design: generating scenarios
  • 4. Pilot research
  • 5. Discrete choice analysis
  • 6. Interpreting discrete choice analysis
Literature
    recommended literature
  • Handbook of item response theory. Edited by Wim J. van der Linden. Boca Raton: CRC Press/Taylor & Francis Group, 2016, xxviii, 59. ISBN 9781466514317. info
  • Handbook of item response theory. Edited by Wim J. van der Linden. Boca Raton: CRC Press/Taylor & Francis Group, 2016, xxv, 427. ISBN 9781466514324. info
  • BOND, Trevor G. and Christine M. FOX. Applying the Rasch model : fundamental measurement in the human sciences. Third edition. New York: Routledge, Taylor & Francis Group, 2015, xx, 383. ISBN 9780415833424. info
  • Handbook of item response theory modeling : applications to typical performance assessment. Edited by Steven Paul Reise - Dennis A. Revicki. First published. London: Routledge, Taylor & Francis Group, 2015, xvi, 465. ISBN 9781138787858. info
  • DE AYALA, R. J. The theory and practice of item response theory. London: Guilford Press, 2009, xv, 448. ISBN 9781593858698. info
  • EMBRETSON, Susan E. and Steven Paul REISE. Item response theory for psychologists. Mahwah: Lawrence Erlbaum Associates, 2000, xi, 371. ISBN 0805828192. info
Teaching methods
Workshop, lecture.
Assessment methods
---- IRT ----
In order to finish the course, a student needs to attend at least 80% of the classes (thus, approximately 1 to 1.5 classes can be skipped). The course is graded on the basis of individual consultation/discussion between the lecturer and the student. For the consultation/discussion, the knowledge of the topic and class material is expected, as well as materials chosen based on individual preference.
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---- Discrete choice analysis ----
In order to finish the course, a student needs to attend at least 80% of the classes (thus, approximately 1 to 1.5 classes can be skipped). The course will be graded on the basis of a discussion of student's own work (method, analysis, interpretation).
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is also listed under the following terms Autumn 2018.
  • Enrolment Statistics (Spring 2018, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2018/PSY028_E