Statistical analysis of multivariate data in psychology

Pre-requisites: Mastered content of following courses: Methodology of psychological research, Statistics in Psychology 1, Statistics in Psychology 2 and Psychometrics.

Course objectives: The acquisition of fundamental theoretical knowledge and skills required for multivariate statistical analysis of data in psychology.

Course description: Mathematical basis necessary for understanding the statistical analysis of multivariate data, multivariate distributions: normal, symmetric, elliptical, Wishart; Conditions for the application of some multivariate statistical methods to solve research problems in psychology, the interpretation of the results obtained by statistical analysis of multivariate data. The practical performance of multivariate statistical methods in the statistical program with examples from psychology

Learning Outcomes: Understanding of statistical procedures that are commonly used in the analysis of multivariate data and conditions for the application of these procedures, mastery of skills of their performance by using statistical programs and competency in interpreting the results.

Statistical analysis of multivariate data in psychology

Pre-requisites: Mastered content of following courses: Methodology of psychological research, Statistics in Psychology 1, Statistics in Psychology 2 and Psychometrics.

Course objectives: The acquisition of fundamental theoretical knowledge and skills required for multivariate statistical analysis of data in psychology.

Course description: Mathematical basis necessary for understanding the statistical analysis of multivariate data, multivariate distributions: normal, symmetric, elliptical, Wishart; Conditions for the application of some multivariate statistical methods to solve research problems in psychology, the interpretation of the results obtained by statistical analysis of multivariate data. The practical performance of multivariate statistical methods in the statistical program with examples from psychology

Learning Outcomes: Understanding of statistical procedures that are commonly used in the analysis of multivariate data and conditions for the application of these procedures, mastery of skills of their performance by using statistical programs and competency in interpreting the results.

Literature/Reading:

• Momirović, K., Volf, B., & Popović, D. (1999). Uvod u teoriju merenja i interne metrijske karakteristike kompozitnih mernih instrumenata , 2. izdanje (Dodatak 1: Osnovi linearne algebre).Priština: FFK.
• Kovačić, Z. (1994). Multivarijaciona analiza, Beograd: Ekonomski fakultet.
• Tenjović, L. (2002). Statistika u psihologiji – priručnik, Beograd: Centar za primenjenu psihologiju (Glave X, XIV, XVI, XVII, XVIII i Dodatak 3: Osnovni pojmovi matrične algebre).
• Fajgelj, S. (2005). Psihometrija, Beograd: Centar za primenjenu psihologiju (Dodatak: Podsetnik za multivarijatnu analizu individualnih razlika).
• Knežević, G. , & Momirović, K. (1996). Algoritam i program za analizu relacija kanoničke korelacijske analize i kanoničke analize kovarijansi, U P. Kostić (Ur.): Merenje u psihologiji, 2, Beograd.
• Wilcox, R. R. (2005). Introduction to Robust Estimation and Hypothesis Testing, 2nd Ed. New York: Academic Press.
• Thompson, B. (2004). Exploratory and Confirmatory factor analysis Understanding Concepts and Applications, American Psychological Association.