Subject description
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Simple correspondence analysis
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Multiple correspondence analysis
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Logistic regression
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Log-linear models
The subject is taught in programs
Objectives and competences
Competent use of advanced methods for analysis of categorical variables.
Teaching and learning methods
The course consists of lectures and computer exercises. Methodological approaches that are taught at any given lecture are then demonstrated at the subsequent computer session.
Expected study results
Use of advanced, especially multivariate, methods for analysis of categorical variables. Practical examples and emphasizes a content-based data analysis.
Basic sources and literature
- Agresti, A.: Categorical Data Analysis: Third Edition. Hoboken, NJ: John Wiley & Sons, 2012.
- Gelman, A. and J. Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press, 2006.
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Additional study materials will be distributed during the course as necessary.
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Greenacre, M. J.: Correspondence Analysis in Practice: Second Edition. Boca Raton, FL: Chapman & Hall/CRC, 2007.
- Hosmer, D. W., S. Lemeshow and R. X. Sturdivant: Applied Logistic Regression: Third Edition. Hoboken, NJ: John Wiley & Sons, 2013.
Additional study materials will be distributed during the course as necessary.
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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana