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Gabriel Gomez
Gabriel Gomez

Lisrel 9.1 vs Other SEM Software: Which One is Better for You?


Introduction




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.




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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