Specifying and Testing Differences Between Variables in Structural Equation Modeling: The Difference Composite Specification
Abstract
Differences, such as gaps or contrasts, are crucial to theories in the social sciences. However, modeling these differences in structural equation modeling (SEM) remains challenging. Existing approaches have limitations that prevent researchers from modeling and testing differences flexibly. This paper introduces the difference composite specification as a new flexible SEM specification to model differences that overcomes these limitations. Our specification exploits the idea of the H–O specification and enables differences to be modeled as both independent and dependent variables, allows for differences between latent variables, and facilitates testing of the equal importance and full transmission assumptions. Using an empirical example from marketing research, we demonstrate that the difference composite specification can reproduce the results of existing approaches while offering greater modeling flexibility and more opportunities to test differences.
Fields of Study & Subjects
Psychometric Methodologies and Testing
Statistical Methods and Applications
Statistical Methods and Bayesian Inference
Publication details
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Preprint