This is an introductory, applied course on Structural Equation Models (SEM). The course aims to provide students basic understanding of SEM, the underlying theory and its applications in psychology. It includes practical work with computer software (Mplus) and real data.
Full description:
This is an introductory, applied course on Structural Equation Models (SEM). The course aims to provide students basic understanding of SEM, the underlying theory and its applications in psychology. It includes practical work with computer software (Mplus) and real data.
Introduction to structural equation modeling: basic concepts and principles; the use of path diagrams; mathematical equations; model specification; model fit.
Students will use the Mplus software to fit confirmatory factor analysis, path analysis with observed variables, and full structural equation models.
Bibliography:
Byrne, B.M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. New York, NY: Taylor and Francis Group
Assessment methods and assessment criteria:
Students are required to replicate the results of a published manuscript using Mplus, writing a short research report (up to three pages), interpreting and commenting the data.
Classes in period
"Summer semester 2017/18"
(future)
(in Polish) E-Learning (pełny kurs) z podziałem na grupy
Type of subject:
optional with unlimited choices
Short description:
This is an introductory, applied course on Structural Equation Models (SEM). The course aims to provide students basic understanding of SEM, the underlying theory and its applications in psychology. It includes practical work with computer software (Mplus) and real data.
Full description:
This is an introductory, applied course on Structural Equation Models (SEM). The course aims to provide students basic understanding of SEM, the underlying theory and its applications in psychology. It includes practical work with computer software (Mplus) and real data.
Introduction to structural equation modeling: basic concepts and principles; the use of path diagrams; mathematical equations; model specification; model fit.
Students will use the Mplus software to fit confirmatory factor analysis, path analysis with observed variables, and full structural equation models.
Bibliography:
Byrne, B.M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. New York, NY: Taylor and Francis Group
Course descriptions are protected by copyright. Copyright by Cardinal Stefan Wyszynski University in Warsaw.