Introduction to Structural Equation Modeling (SEM)

1124377


Course
Introduction to Structural Equation Modeling (SEM)

Faculty
Professor Sabina Nielsen

Course coordinator
Professor Sabina Nielsen

Prerequisites
The course requires basic understanding of statistics, but does not require knowledge of structural equation modeling or any particular SEM software.

Aim
This course is designed to help participants understand the theoretical basis and practical application of structural equation modeling. 

More specifically, we will address the following issues:

1. What is structural equation modeling and what types of research questions can it help answer?

2. Theoretical understanding of measurement models and structural models.

3. Conducting basic SEM analysis.

4. Reading SEM output and providing guidelines for reporting SEM results.

5. Analysis of interaction effects with continuous and categorical variables.

6. Latent growth modeling and overview of advanced analyses.

Course content
10 modules/4 hours each Sessions will run between 9 am -1 pm and 2 -6pm with an hour lunch break 



Teaching style
Lectures and interactive lab-sessions

Lecture plan
Module 1 - Intro to SEM
Module 2 - Intro to Mplus
Module 3 - :Measurement Model 1
Module 4 - Measurement model 2
Module 5 - Structural Model 1
Module 6 - Structural model 2
Module 7 - Multigroup Analysis
Module 8 - Latent Growth Models
Module 9 - SEM Reporting
Module10 - Project work

Learning objectives

Exam
Course certificates will be issued based on participationand completion of project.

Other

Start date
04/09/2023

End date
08/09/2023

Level
PhD

ECTS
7,5

Language
English

Course Literature
Main texts:

Rex B. Kline (2016). Principles and practices of structural equation modeling, 4thedition, New York: Guilford Press.

Barbara M Byrne(2012). Structural Equation Modeling with Mplus, Basic concepts, applications, and programming, Lawrence Erlbaum Associates.

Articles:

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.

Anderson, J. C. and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103: 411-423. 

McCallum, R. C., Roznowski M. ≠cowitz L.B.(1992). Model modifications in covariancestructure analysis: the problem of capitalizationon chance. Psychological Bulletin. 111:490–504.



Fee
9.750 DKK

Minimum number of participants

Maximum number of participants
12

Location
Copenhagen Business School
2000 Frederiksberg
Room TBA

Contact information
PhD Coordinator
Nina Iversen
ni.research@cbs.dk
+45 3815 2475

Registration deadline
23/07/2023

In case we receive more registrations for the course than we have place, the registrations will be prioritized in the following order: Students from the CBS, students from other institutions than CBS.

Please note that your registration is binding after the registration deadline.
Register here
 
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