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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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These methods will be discussed in the course: - Hotelling test, MANOVA and MANCOVA - Logistic regression - Poisson regression - Cluster analysis (k means and hierarchical clustering methods) - Canonical Correlation - optionally, other methods of multivariate statistical analysis
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Demonstration, Projection (static, dynamic)
- Homework for Teaching
- 27 hours per semester
- Attendace
- 8 hours per semester
- Preparation for the Exam
- 40 hours per semester
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Learning outcomes
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The aim of the course is to to familiarize students with advanced methods of statistical analysis in psychological research.
Students will learn the theoretical foundations of the discussed methods and gain the ability to compute them using a statistical program and to interpret their results.
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Prerequisites
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Knowledge of descriptive and inferential statistics. Orientation in terms of linear models (regression analysis).
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Assessment methods and criteria
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Oral exam
This course requires an examination in a form of individual work with the data. Students will be asked to apply the techniques on a dataset and to interpret their results.
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Recommended literature
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Hendl, J. (2012). Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál.
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Martin, P. R., Bateson, P. P. G., & Müller, I. (2009). Úvod do teorie a metodologie měření chování. Praha: Portál.
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Urbánek, T., Denglerová, D., & Širůček, J. (2011). Psychometrika: měření v psychologii. Praha: Portál.
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