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Lecturer(s)
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Sigmund Erik, prof. Mgr. Ph.D.
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Kolarčik Peter, Mgr.
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Novák Lukáš, Mgr. et Mgr.
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Course content
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unspecified
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course is an advanced continuation of *Statistical Data Analysis 1*. It enables students to apply more complex statistical procedures to data analysis, focusing primarily on linear and logistic regression analysis, exploratory factor analysis, cluster analysis, and structural equation modeling. Theoretical knowledge will be complemented by practical examples of statistical data analysis using IBM SPSS and IBM AMOS software.
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Prerequisites
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Required reading: Field, O. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage Publications. Reccomended reading: Byrne, B. M. (2009). Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming. Second Edition (Multivariate Applications Series). Routlege.
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Assessment methods and criteria
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unspecified
Required reading: Field, O. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage Publications. Recommended reading: Byrne, B. M. (2009). Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming. Second Edition (Multivariate Applications Series). Routlege.
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Recommended literature
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