About this document
Understanding Structural Equation Modelling by soumirai is a document available to read on EtoBox.
Structural equation modeling (SEM) allows researchers to specify and test causal relationships between variables. It addresses limitations of other correlational techniques by allowing inclusion of latent variables and disturbance terms. The first step is to specify the model by determining the parameters (fixed or free), variables (measured or latent), and hypothesized relationships. SEM then tests whether the data fit the specified model.
- Author
- soumirai
- Language
- EN