A Revolutionary Alternative to


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. 


NEUSREL is the first path modeling method that meets the following 5 prerequisites:
  • Quantitative
  • Multivariate
  • Explorative
  • Explores nonlinearities
  • Explores interactions

Why is it crucial for your causal modeling software to have all these properties in one program? You'll find the answers in following videos.

“LISREL, AMOS or PLS does not deliver what you need for your Ph.D. research?”

Discover how researchers detect nonlinearities and explore interactions in their cause-effect models and innovate their research field with exciting new discoveries ... 

 Read here
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Market Research on Causality
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