Multivariate Methods
Study Cycle: 1
Lectures: 30
Seminars: 0
Tutorials: 30
ECTS credit: 5
Lecturer(s): asist. dr. Šemrov Ana, prof. dr. Bucik Valentin, prof. dr. Sočan Gregor, Zaposleni/pogodbeni bodoči
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