Structural Equation Modeling: Path Analysis and Structural Regression
Structural equation modeling (SEM) is a general-purpose modeling framework that is useful for testing theories about complex interrelationships between variables, both observed and latent. For example, SEM could be applied to employee survey data to test competing theories about how motivation, stress, leadership, compensation, and job satisfaction influence one another. While traditionally ap...