Selected Topics in Statistics and Psychometrics

Pre-requisites: Students have mastered the contents of following courses: Methodology of Psychological Research, Statistics in Psychology 1, Statistics in Psychology 2 and Psychometrics.

Course objectives: Mastering knowledge of statistical and psychometric procedures necessary for conducting psychological research in various fields and constructing psychological measuring instruments.

Course description: Quasi-experimental research and monitoring studies – design basics and key issues, basics of sampling theory, Analysis of covariance, Nonlinear regression models, Time series analysis, Canonical correlation analysis, Structural equation modeling (SEM), Robust statistical methods, statistical analysis of single-case research data, Item response theory (IRT theory). Practice in applying the procedures to examples from psychology.

Learning Outcomes: A thorough understanding of the correlational research design, knowledge of key principles and procedures of sample planning and selection, acquired skills for conducting and interpreting correlational research as well as the skills needed for construction of psychological measuring instruments.

Selected Topics in Statistics and Psychometrics

Pre-requisites: Students have mastered the contents of following courses: Methodology of Psychological Research, Statistics in Psychology 1, Statistics in Psychology 2 and Psychometrics.

Course objectives: Mastering knowledge of statistical and psychometric procedures necessary for conducting psychological research in various fields and constructing psychological measuring instruments.

Course description: Quasi-experimental research and monitoring studies – design basics and key issues, basics of sampling theory, Analysis of covariance, Nonlinear regression models, Time series analysis, Canonical correlation analysis, Structural equation modeling (SEM), Robust statistical methods, statistical analysis of single-case research data, Item response theory (IRT theory). Practice in applying the procedures to examples from psychology.

Learning Outcomes: A thorough understanding of the correlational research design, knowledge of key principles and procedures of sample planning and selection, acquired skills for conducting and interpreting correlational research as well as the skills needed for construction of psychological measuring instruments.

Literature/Reading:

• Fajgelj, S. (2005). Psihometrija, Beograd: Centar za primenjenu psihologiju.
• Kovačić, Z. (1993). Multivarijaciona Analiza, Beograd, Ekonomski fakultet.
• Zečević, T., Kovačević, M., & Kovačević, M. (1991). Teorija uzoraka i planiranje eksperimenta, Beograd: Ekonomski fakultet (od 1. do 9. poglavlja)
• Kovačić, Z. (1998). Analiza vremenskih serija, Beograd: Ekonomski fakultet.
• Winer, B.J. (1970). Statistical principles in experimental design, London: McGraw-Hill Inc.(poglavlje 11).
• Cohen, J., & Cohen, P. (1975). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, New Jersey: LEA Publishers (Poglavlja 6, 8,9,11).
• Fajgelj, S. (2005). Metode istraživanja ponašanja (poglavlja III i VII). Beograd: Centar za primenjenu psihologiju.
• Tenjović, L. (2002). Statistika u psihologiji – priručnik, Beograd: Centar za primenjenu psdihologiju.