SAS® Structural Equation Modeling for JMP® is a new application that enables researchers to use SAS and JMP to draw models by using an interface that is built on the SAS/STAT® CALIS procedure.
To create models in SAS Structural Equation Modeling for JMP, you simply drag variables into the diagram area and then use point-and-click features to draw paths among variables, specify variable and path properties, and select other model specifications. SAS Structural Equation Modeling for JMP enables both novice and experienced users of structural equation models to build models easily with no programming involved.
How is structural equation modeling (SEM) used?
Structural equation modeling in academia:
Structural equation modeling in industry:
For what models can I use SAS Structural Equation Modeling for JMP?
With SAS Structural Equation Modeling for JMP, you can fit either models that have only observed variables (including linear regression and path analysis models) or models with observed and latent variables (including confirmatory factor analysis and latent growth curve models). Here are some examples of the models you can fit with SAS Structural Equation Modeling for JMP:
Typically, you have several models you want to examine. With SAS Structural Equation Modeling for JMP, you can fit several models to the same data set using the Single Group Analysis option. You can easily compare multiple models using the Comparisons tab.
SAS Structural Equation Modeling for JMP requires:
You can acquire SAS Structural Equation Modeling for JMP in one of the following ways:
For more information, see the SAS Structural Equation Modeling section of the JMP website.
To see a quick example of how to use the software, watch a 10-minute demo (click the "Overview Demo" link on the right-hand side of the application page.
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