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390076 DK PhD-M: Structural Equations Modeling (2018W)

PhD-M: Structural Equations Modeling

Continuous assessment of course work



max. 15 participants
Language: English


Classes (iCal) - next class is marked with N

Wednesday 03.10. 08:00 - 18:15 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 04.10. 08:00 - 13:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
Friday 05.10. 08:00 - 18:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock


Aims, contents and method of the course

This course is targeted to PhD students and seeks to provide a user-friendly introduction to structural equations modeling (SEM) using the LISREL program. It is designed for non-experts and its emphasis is on understanding and applying SEM as a tool in substantive research. The course assumes previous knowledge of data analysis and statistics (including factor analysis and regression). Students taking this course must have already successfully completed the Multivariate Business Statistics course of the PhD Management core program.

The course is designed to familiarize participants with the various stages associated with conceptualizing, estimating, and evaluating SEM models, highlighting key decisions and potential problems at each stage. Following an introduction to SEM as an analytical approach, issues associated with the theoretical specification and graphical representation of a SEM model are discussed. These set the background for applying the LISREL program to estimate the model and assess its fit along different criteria. Strategies for model modification and cross-validation are also outlined. To enable participants experience SEM "in action", the above issues are illustrated by using a concrete example of a model specified and estimated with the LISREL program. Detailed guidance for setting up and interpreting the relevant input/output files of the program is also provided.

The course will take the form of interactive workshop sessions, placing particular emphasis on student participation.

Students are expected to download the (free) student version of the LISREL program from www.ssicentral.com and also read widely on the subject (see Course Text and Additional Reading below).


- Introduction to SEM

- Model Conceptualization I: Structure

- Model Conceptualization II: Measurement

- Path Diagram Construction

- Model Identification

- Introduction to the LISREL Program

- Parameter Estimation

- Model Fit Evaluation

- Model Modification

- Model Cross-Validation

- Examples of different types of SEM models

Assessment and permitted materials

The Assessment will take the form of a project on using LISREL to estimate and evaluate structural equation models. Full details will be given in the last session.

Minimum requirements and assessment criteria

Examination topics

Reading list

The required text for the course is:

Diamantopoulos, A. and Siguaw, J.A. (2000): Introducing LISREL, Sage Publications

(ISBN 0-7619-5171-7).

Student should also read the relevant chapters on SEM in:

Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010): Multivariate Data Analysis, 7th edition, Pearson (ISBN 978-0-13-515309-3).

A selected list of readings on SEM in general and LISREL in particular is given below.

Anderson, J. C. & Gerbing, D. W. 1988. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103 (3): 411-423.

Bagozzi, R. P. & Yi, Y. 1988. On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16 (1): 74-94.

Bagozzi, R. P. & Yi, Y. 2012. Specification, Evaluation, and Interpretation of Structural Equation Models. Journal of the Academy of Marketing Science, 40 (1): 8-34.

Baumgartner, H. & Homburg, C. 1996. Applications of Structural Equation Modeling in Marketing and Consumer Research. A Review. International Journal of Research in Marketing, 13 (2): 139-161.

Chin, W. W., Peterson, R. A. & Brown, S. P. 2008. Structural Equation Modeling in Marketing: Some Practical Reminders, Journal of Marketing Theory and Practice, 16 (4): 287-298.

Danes, J. E. & Mann, K. O. 1984. Unidimensional Measurement and Structural Equation Models with Latent Variables. Journal of Business Research, 12 (3): 337-352. [will be available on moodle]

Diamantopoulos, A. & Winklhofer, H. 2001. Index Construction with Formative Indicators: An Alternative to Scale Development. Journal of Marketing Research, 38 (2): 269-277.

Gefen, D., Straub, D. W. & Boudreau, M-C. 2000. Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4 (7): 1-79.

Golob, T. F. 2003. Structural Equation Modeling for Travel Behavior Research. Transportation Research Part B: Methodological, 37 (1): 1-25.

Iacobucci, D. 2009. Everything You Always Wanted to Know about SEM (Structural Equations Modeling) but were Afraid to Ask. Journal of Consumer Psychology, 19 (4): 673-680.

Iacobucci, D. 2010. Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics. Journal of Consumer Psychology, 20 (1): 90-98.

MacCallum, R. C. & Austin, J. T. 2000. Applications of Structural Equation Modeling in Psychological Research. Annual Review of Psychology, 51 (1): 201-226.

Mackenzie, S. B. 2001. Opportunities for Improving Consumer Research through Latent Variable Structural Equation Modeling. Journal of Consumer Research, 28 (1): 159-166.

Reisinger, Y. & Turner, L. 1999. Structural Equation Modelling with LISREL: Application to Tourism. Tourism Management, 20 (1): 71-88.

Schreiber, J. B., Stage, F. K., King, J., Vora, A. & Barlow, E. A. 2006. Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. The Journal of Education Research, 99 (6): 323-338.

Shah, R. & Goldstein, S. M. 2006. Use of Structural Equation Models in Operations Management Research: Looking Back and Forward. Journal of Operations Management, 24 (2): 148-169.

Shook, C. L., Ketchen, D. J., Hult, G. T. M. & Kacmar, M. 2004. An Assessment of the Use of Structural Equation Modeling in Strategic Management Research. Strategic Management Journal, 25 (4): 397-404.

Steenkamp, J. B. E. M. & Baumgartner, H. 2000. On the Use of Structural Equation Models for Marketing Modeling. International Journal of Research in Marketing, 17 (2-3): 195-202.

Tomarken, A. J. & Waller, N. G. 2005. Structural Equation Modeling: Strengths, Limitations, and Misconceptions. Annual Review of Clinical Psychology, 1: 31-65.

Williams, L. J., Edwards, J. R. & Vandenberg, R. J. 2003. Recent Advances in Causal Modeling Methods for Organizational and Management Research. Journal of Management, 29 (6): 903-936.

Association in the course directory

Last modified: Mo 07.09.2020 15:46