Are you ready to take your Structural Equation Modeling (SEM) to another
level? When you perform a SEM analysis using LISREL, AMOS or SmartPLS,
you realize that some requirements, such as the distributional
assumptions, are simply and frustratingly not met. There may be
significant nonlinearities in your data that these programs cannot adequately model for you, or worse: moderating variables
may be present yet go undetected, and you don’t know which ones are
impacting your model! Question after unanswered question keeps coming up
for you despite your thorough literature review. Don’t you deserve
more success for your research efforts?
The main objective of your modeling efforts should be that you only use
the knowledge and theories that you can
truly substantiate. The analysis methods you use should then do the rest
for you. These methods should also be flexible enough to reveal all
significant nonlinearities and moderation effects in your data, some of which you may not have previously been aware of.
Now, there is a better, faster and easier way to causally model your data. It's called NEUSREL, which stands for Nonlinear Universal Structural Relational modeling. This method is now finally available.