Structural equation modeling refers to an integration of multiple statistical methods that seek to explain the relationship between multiple variables. It is divided into two main components: The measurement model and the structural model. This article aims to differentiate between these two concepts.
The measurement model in the structural equation modeling methodology represents all the structural equations. It includes the latent variables and their measurement indicators to determine their relationships and test the validity and reliability of the observed variables or measurement indicators.
For example, X, Y, M, and W are latent variables included in the theoretical model; each phenomenon or variable has an independent model to measure it. You will be able to test measurement models and tools that include a set of quantitatively measured indicators through advanced statistical methods based on confirmatory factor analysis CFA to test the structural validity of the measurement scales included in the theoretical models.
On the other hand, the structural model depicts the observed relationships and provides a quantitative test of a theoretical model hypothesized by the researcher. Structural model tests theoretical models using basic models to test relationships such as regression models, path analysis, and confirmatory factors. Taken together, they provide a basis for understanding structural equation models.
The researcher hypothesizes that X affects Y. In contrast, X indirectly affects Y through the mediation of M and W.