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Introduction to Structural Equation Modeling (SEM) (October 11-14, 2011)

Faculty
Associate professor Bo Bernhard Nielsen, Department of Strategic Management and Globalization and Associate professor Sabina Nielsen, Department of International Economics and Management
Course Coordinator
Bo Bernhard Nielsen
Prerequisite
Ph.D. enrollment – open to all faculty. The course requires basic understanding of statistics, but does not require knowledge of structural equation modeling or any particular SEM software.
Aim of the course
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, structure and teaching
Day 1: Foundations (9:00-18:00)
  • Introduction and purpose of the course
  • Multiple regression; Mediation and moderation
  • Introduction to SEM and steps of SEM
Lunch Break
  • Introduction to MPLUS
  • Discussion of research questions
Day 2: Measurement models (9:00-18:00)
  • Measurement models: Theory
Lunch Break
  • Measurement models: Application
Day 3: Structural models (9:00-18:00)
  • Structural models: Theory
Lunch Break
  • Structural models: Application
Day 4: Reporting & Advanced analysis (9:00-18:00)
  • Reporting
  • Multiple group analysis 
Lunch Break
  • Interaction effects with continuous latent variables
  • Latent growth modeling
  • Wrap-up and evaluation
  • Wine reception and certificates
Type of examination, exam aids and assessment
Course certificates will be issued based on participation.
Teaching methods
Lectures and interactive lab-sessions.
Course literature
Main texts:
Rex B. Kline (2010). Principles and practices of structural equation modeling, 3d edition, New York: Guilford Press.
Barbara M Byrne (2010). 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.
Enrolment
Email to Katja Høeg Tingleff, kht.research@cbs.dk. State your name, email, department and university plus any prior SEM experience.

Sidst opdateret af Katja Høeg Tingleff 14.09.2011