Introduction to Structural Equation Modeling (SEM) 15-17 November, 2010

Faculty
Associate Professor Bo Bernhard Nielsen, Center for Strategic Management and Globalization, bn.smg@cbs.dk and Assistant Professor Sabina Nielsen, Department of International Economics and Management, sta.int@cbs.dk

Course Coordinator
Bo Bernhard Nielsen

PhD enrollment – open to all faculties.

The course requires basic understanding of statistics, but does not require knowledge of structural equation modeling or any particular SEM software. We will provide an overview of different SEM software packages but will focus on one software package for illustrations and a student (demo) version will be made available for downloading and using during lab sessions.

This course is designed to help participants understand the theoretical basis and practical application of latent variable structural equation models. More specifically:

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

2. Theoretical understanding of measurement models and structural models.

3. An overview of state-of-the-art SEM software packages and their relative strengths and limitations.

4. Conducting basic SEM analysis

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

6. Providing an overview of more advanced analyses.

Day 1: Foundations (10:00-18:00)

• 10:00-10:30: Welcome: purpose of the course
• 10:30-11:30 : Introduction to latent variables and their use in social science research
• 11:30-12:30: Survey design and common method bias
12:30 – 13: 30 Lunch Break
• 13:30 – 15:00: Steps of SEM – an overview
• 15:00 – 18.00: Measurement models and confirmatory factor analysis (CFA)

Day 2: Measurement models applied and Structural models (10:00-18:00)

• 10:00-12:30: Conducting SEM analysis: Measurement models
12:30 – 13:30 Break
• 13:30 – 15:30 Structural models
• 15:30 – 17:00 Reporting SEM results in article form
• 17: 00 – 18:00 Q & A

Day 3: Structural models applied and advanced issues (10:00-16:00)

• 10:00 – 12:30 Conducting SEM analysis: Structural models
12:30 – 13:30 Lunch Break
• 13:30 – 15:30 Overview of advanced SEM techniques
- Second-order factors and multiple group (sample) analysis
- Interaction effects
- Latent growth models
• 15:30 – 16:00 Wrap-up and evaluation

Course certificates will be issued based on participation

Lectures and interactive lab-sessions

Main texts:

* Rex B. Kline: Principles and practices of structural equation modeling, 2nd edition 2005: New York: Guilford Press.

Articles:

* 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.

* 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.

* MacCallum, 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.

* Shook, C. L., Ketchen, D. J. J., Hult, G. T. M., & Kacmar, K. M. (2004). An assessment of the use of structural equation modeling in strategic management research. Strategic Management Journal, 25: 397–404.

Email to Sarah Biel, sb.smg@cbs.dk

State your name, email, department and university plus any prior SEM experience.

15-17 November, 2010