826018

Course
Introduction to Structural Equation Modeling (SEM)

Faculty
Professor Bo Bernhard Nielsen & Professor Sabina Nielsen

Course Coordinator
Sabina Nielsen and Bo Nielsen

Prerequisites

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

PhD enrollment – open to all faculty

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 more advanced analyses.

Course content


Teaching style
Lectures and interactive lab-sessions

Lecture plan

Day 1: Foundations (9:30-18:00)

  9:30-10:00    Morning Coffee 

  9:45-10:00   Introduction & purpose of the course

10:00-11:15   Basic concepts

11:15-11:30   Coffee break

11:30-12:30   Introduction to SEM

12:30-13:30   Lunch break

13:30-15:00          Lab Session 1: Introduction to MPLUS

15:00-15:15   Coffee break

15:15-16:00   Steps of SEM

16:00-16:15   Bio-break

16:15-17:00   Discussion of research questions

17:00-18:00   Q & A

 

 

Day 2: Measurement models (9:30-18:00)

9:30-10:00  Morning coffee & questions

10:00-11:15  Specification & identification of measurement models

11:15-11:30  Coffee break

11:30-12:30  Estimation of measurement models

12:30-13:30  Lunch break

13:30-15:00  Re-specification of measurement models

15:00-15:15  Coffee break

15:15-16:45  Lab session 2: Measurement models

16:45-17:00: Bio-break

17:00-18:00: Q & A

 

 Day 3: Structural models (9:30-18:00)

 9:30-10:00  Coffee & questions

10:00-11:15  Structural models I

11:15-11:30  Coffee break

11:30-12:30  Structural models II

12:30-13:30  Lunch break

13:30-15:00  Lab session 3: Structural models

15:00-15:15  Coffee break

15:15-16:45  Discuss your own structural models

16:45-17:00  Bio-break

17:00-18:00  Q & A

 

Day 4: Reporting & Advanced analysis (9:30-16:00)

 9:30-10:00  Coffee & questions

10:00-11:30  Reporting

11:30-11:45  Coffee break

11:45-12:30  Interaction effects

12:30-13:30  Lunch break

13:30-15:00  Latent growth models

15:00-16:00  Wine reception

Learning objectives

Exam
Course certificates will be issued based on participation

Other

Start date
16/01/2017

End date
19/01/2017

Level
PhD

ECTS
7.5

Language
English

Course Literature
Main texts:Rex B. Kline (2015). Principles and practices of structural equation modeling, 4th edition, 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. & Necowitz L.B. (1992). Model modifications in covariance structure analysis: the problem of capitalization on chance. Psychological Bulletin. 111:490–504.

Fee
DKK 9,750

Minimum number of participants
16

Maximum number of participants
24

Location
TBA

Contact information
Bente S. Ramovic
bsr.research@cbs.dk 
+45 3815 3138

Registration deadline
01/12/2016

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