Lisrel 9.1 vs Other SEM Software: Which One is Better for You?
Structural equation modeling (SEM) is a multivariate data analysis method that allows you to test hypotheses about the causal relationships among observed and latent variables. Observed variables are those that can be directly measured, such as test scores, income, or age. Latent variables are those that cannot be directly measured, but are inferred from the observed variables, such as intelligence, motivation, or satisfaction.
Lisrel 9.1 Full Version Free Downloadl
SEM can be used for various purposes, such as:
Confirming or rejecting a theoretical model based on empirical data
Exploring the underlying structure of a set of variables
Comparing the fit of alternative models or groups
Predicting the effects of one variable on another
Mediating or moderating the effects of one variable on another