Multivariate Methods
Study Cycle: 1
Lectures: 30
Seminars: 0
Tutorials: 30
ECTS credit: 5
Lecturer(s): asist. Šemrov Ana, izr. prof. dr. Sočan Gregor, prof. dr. Bucik Valentin
Essentials of matrix algebra.
General linear model, its assumptions and applications. Data checking before entering the multuvariate analysis.
Methods of prediction and classification: multiple linear and logistic regression, discriminant analysis, cluster analysis.
Methods of structuring: principal component analysis, correspondence analysis, exploratory factor analysis, introduction to hierarchical modeling, multidimensional scaling, introduction to structural modeling. Methods for missing data imputation.
- Bartholomew, D. J., Steele, F., Moustaki, I. in Galbraith, J. I. (2008). Analysis of multivariate social science data. Boca Raton, FL: Chapman Hall/CRC. (str. 1-207, 289-355) COBISS.SI-ID - 43621474
- Sočan, G. (2011). Postopki klasične testne teorije. Ljubljana: FF. (str. 65-140). COBISS.SI-ID - 257494784
Internetni viri:
http://davidmlane.com/hyperstat/index.html, poglavje 15
http://www.psychstat.missouristate.edu/multibook/mlt00.htm