University of Gothenburg
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Structural equation modelling in educational research, 7.5 credits

Are t-tests and simple regression analyzes really sufficient to analyze your data? Do you want to learn more about latent variables, measure abstract concepts and examine cross-lagged relationships between variables? Then this basic course of structural equation modeling may be something for you!

SEM can be described as a further development of multiple regression analysis that allows analysis of both directly observable variables and latent, non-observable variables. The course gives an introduction to structural equation modeling, where confirmatory factor analysis is included as an important part. The Mplus software is required for this course.

Entry requirements

Knowledge equivalent to the learning goals in QRMs course  Regression analysis in educational research (QRM1802).

Practical Information

Course code

Application period
Spring 2025: To be announced