Estimating and interpreting latent variable interactions
The University of Texas at Austin · Arizona State University · +1 more institution
Abstract
Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS) method is one that is built into Mplus software. The potential utility of this method is limited by the fact that the models do not produce traditional model fit indices, standardized coefficients, or effect sizes for the latent interaction, which renders model fitting and interpretation of the latent variable interaction difficult. This article compiles…
Citation impact
- FWCI
- 18.25
- Percentile
- 100%
- References
- 31
Authors
3Topics & keywords
- Structural equation modeling
- Latent variable
- Latent variable model
- Latent class model
- Econometrics
- Latent growth modeling
- Interpretation (philosophy)
- Variable (mathematics)