Manifest Variables: Unlocking Hidden Psychological Data
Manifest variables are a type of latent variable used in structural equation modeling (SEM) and psychometrics. They are created by combining observed variables into a single latent construct. This article examines the purpose of manifest variables, the different types available, and the advantages and disadvantages of using manifest variables in research. The main purpose of […]
STRUCTURAL EQUATION MODELING (SEM)
STRUCTURAL EQUATION MODELING (SEM) Structural Equation Modeling (SEM) constitutes a sophisticated statistical methodology utilized primarily in the social, behavioral, and economic sciences to test and estimate causal relationships among both observed and latent variables. Unlike simpler regression techniques which analyze relationships among variables measured directly, SEM is recognized as a “higher statistical model” because it […]