IHMJ2202 Structural Equation Modelling Basic Course (R package to Lava) (2 cr)
Description
The course teaches the basic regression model using structural equation modelling, which model is extended to the path model by introducing the mediator model. The construction and testing of the measurement scale is guided by confirmatory factor analysis and testing the factorial invariance. The model is extended to longitudinal data by presenting the principles of constructing a longitudinal factor model and a latent growth curve model. The course includes exercises for the R-lavaan program.
Completion mode: Independent and / or assisted learning and verification of learning from exercise results.
Learning outcomes
After completing the basics of structural equation modelling (SEM), the student has a good understanding of the method and its statistical modelling possibilities. After completing the course, the student will be able to critically evaluate the performance of his/her measurement structure or statistical model by identifying its strengths and limitations. The course provides a good basis for analysing your own data through R-lavaan program and further develop analysing skills using SEM.
Additional information
Study materials
Video lectures (YouTube ja Moodle) from the idea of structural equation modelling. Online lectures.
Literature and online material:
Rick H. Hoyle. Handbook of structural equation modelling
Rex B. Kline (Fourth Edition). Principles and practiceof structural equation modelling.
Andrew F. Hayes (Second Edition). Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition.