Structural Equation Modelling (7-9 October 2009)

Faculty
Prof. Tomas Hult (http://global.broad.msu.edu/hult), Eli Broad Graduate School of Management, Michigan State University

Course Coordinator
PhD Administrator Kirsten Ryelund

To provide an introduction to structural equation modelling (SEM) – a multivariate statistical technique that has grown in popularity in the last twenty years. The focus is on using SEM to analyze hypotheses and on how to present SEM results in articles intended for top journals in business.

The course provides an understanding of distinguishing characteristics of SEM, differences between variables and constructs, types of relationships involved in SEM. The course will also focus on measurement models, structural models, multi-group analyses, and reflective vs. formative indicators.

Day 1:

· Distinguishing characteristics of SEM

· Variables and constructs

· Measurement models

Day 2:

· Types of relationships involved in SEM

· Reflective vs. formative indicators

· Structural models

· Multi-group analysis

Day 3:

· Running SEM models

· Reporting measurement model results

· Reporting structural model results

Lectures, discussion, and analysis.

Bollen, K.A. (1989), Structural Equations with Latent Variables, New York: John Wiley & Sons.

Hayduk, L.A. (1987), Structural Equation Modeling with LISREL: Essentials and Advances, Baltimore, MD: The Johns Hopkins University Press.

Jöreskog, K. G. & Sörbom D., (1993), LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language, Hillsdale, JN: Scientific Software International

The PhD School in Economics and Management, Copenhagen Business School Porcelainshaven 24B, 2000 Frederiksberg, Denmark

Attention: Kirsten Ryelund

Email: kr.smg@cbs.dk

Fee: € 525 (for non-danish participants)

ECTS: 3