Theory testing with structural equation modelling
Objectives
This course provides an introduction to Structural Equation Modelling (SEM), including the study of covariance-based methods (CBSEM) and the Partial Least Squares (PLS-SEM). The course also includes an approach to confirmatory factor analysis.
The applications will be supported by different software covering CBSEM and PLS.
The course is designed for non-experts in SEM and it will be focused on the understanding of SEM methodologies and their application as a research tool in business and social sciences. The main goal is to provide professionals, researchers and master or doctoral students with the modelling and data analysis tools necessary to test theories in the context of social sciences.
General characterization
Code
300033
Credits
5.0
Responsible teacher
Pedro Miguel Pereira Simões Coelho
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
None
Bibliography
- Lehlin, J. C. (1987). Latent variables models, Hillsdale, NJ: Lawrence Erlbaum associates.
- Bollen, K.A. (1989). Structural Equations with Latent Variables. New York: John Wiley & Sons.
- Hair, Hult, Ringle (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications
- Henseler, J.; Hubona, G.; Ray, P. (2015). Using PLS path modeling in new technology research: updated guidelines, Industrial Management and Data Systems, vol. 116, No. 1.
Teaching method
Conceptual presentation
Examples and exercises
Use of software tools
Evaluation method
Project 100%
Subject matter
Introduction and motivation to use SEM models
Representation of a structural equation model
Theory testing with SEM models
Confirmatory Factor Analysis
SEM modelling based on covariance
Specification
Identification
Estimation
Evaluation
Modification
SEM modelling based on PLS
Specification and evaluation of the measurement model
Specification and evaluation of the structural model
How to write the results section of a project or scientific paper
Examples and exercises