Poslední úprava: Mgr. Katarína Prikrylová (09.01.2024)
This course aims to guide students to become more familiar with more advanced statistical models, principles of how to choose an appropriate
statistical test for a more complex research design and will learn to independently perform relevant tests in SPSS,
JASP, and Mplus statistical programs. They will also acquire the ability to verbally describe the results and
understand this description in empirical quantitative studies. The focus of this class will be on latent variable
modeling in the forms of Structural Equation Modeling and Multilevel Modelling.
Literatura
Poslední úprava: Zsófia Csajbók, M.A., Ph.D. (02.02.2024)
Povinná:
Navarro, D., Foxcroft, D., & Faulkenberry, T. J. . Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. : , 2019, s. ISBN .
Doporučená:
Field, Andy P.. Discovering statistics using IBM SPSS statistics. Los Angeles: SAGE, 2018, 1070 s. ISBN 978-1-5264-1952-1.
Brown, Timothy A.. Confirmatory factor analysis for applied research. New York, New York: The Guilford Press, 2015, 1 s. ISBN 1-4625-1780-3.
Kline, Rex B.. Principles and practice of structural equation modeling. New York ; London: The Guilford Press, 2016, 534 s. ISBN 978-1-4625-2334-4.
Sylabus
Poslední úprava: Zsófia Csajbók, M.A., Ph.D. (02.02.2024)
Schedule:
19.2.2024 - Zakreski
Factorial ANOVA
4.3.2024 - Zakreski
Regression, multiple regression with interaction, regression diagnostics
18.3.2024 - Zakreski
Path modeling, understanding the differences between mediation and moderation
Mixed-effects models
15.4.2024 - NO CLASS!
22.4.2024 - Csajbók (WARNING: date changed from 15.4.2024 to 22.4.2024!)
Exploratory factor analysis
Understanding latent variable modeling, degrees of freedom, and model fit
29.4.2024 - Csajbók
Confirmatory factor analysis and its use in psychometrics
