Statistics in Psychological Research III. - YMPV016

• Title: Statistika v psychologickém výzkumu III.
• Guaranteed by: Programme Theoretical and Research Psychology (24-TVP)
• Faculty: Faculty of Humanities
• Actual: from 2024 to 2024
• Semester: summer
• E-Credits: 3
• Examination process: summer s.:
• Hours per week, examination: summer s.:0/2, Ex [HT]
• Capacity: unknown / unknown (20)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: not taught
• Language: English
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment
• Guarantor: Ellen Zakreski, Ph.D.
• Is incompatible with: YTVP205
• Is interchangeable with: YTVP205

Annotation

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.

Last update: Prikrylová Katarína, Mgr. (09.01.2024)

Literature

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.

Last update: Csajbók Zsófia, M.A., Ph.D. (02.02.2024)

Syllabus

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

Measurement invariance testing

 

13.5.2024 - Csajbók

Introduction to advanced SEM methods

 

Last update: Csajbók Zsófia, M.A., Ph.D. (02.02.2024)