IHMJ2204 Multilevel Modelling Basic Course (to R Lava) (2 cr)

Open the course unit brochure on Sisu

Study level:

Postgraduate studies

Grading scale:

Pass - fail

Language:

English, Finnish

Responsible organisation:

Faculty of Education and Psychology

Curriculum periods:

2024-2025, 2025-2026, 2026-2027, 2027-2028

Description

The Multilevel Course in Structural Equation Modelling includes modelling and training regression, confirmatory factor and latent growth curve models in the context of multiple independent groups and hierarchical data.

Completion mode:

Independent and / or assisted learning and verification of learning from exercise results.

Learning outcomes

After completing the course, students will understand the concepts of hierarchical data modelling and the basics of analysis. They will be able to analyse and interpret their own data using a multilevel structural equation model and understand the strengths and limitations of the method.

Study materials

Literature and online materials:

Joop J. Hox (in the third edition also Mirjam Moerbeek and Rens van de Schoot). Multilevel analysis: techniques and applications.
Tom A. B. Snijders & Roel J. Bosker. Multilevel analysis: An introduction to basic and advances multilevel modelling.
https://cran.r-project.org/web/packages/lavaan/lavaan.pdf
http://lavaan.ugent.be/

Completion methods

Method 1

Evaluation criteria:

Completion is assessed on the basis of the student's mastery of the course content and achievement of the course objectives. To obtain an approved grade, the assignments must be completed successfully. If the completion method includes contact teaching, active participation in the teaching and successful completion of any other tasks indicated in the teaching is also required.

Select all marked parts

Parts of the completion methods

Independent study (2 cr)

Type:

Independent study