Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
An Association Rule General Analytic System (ARGAS) for hypothesis testing and data mining applications
preprintposted on 19.11.2018, 23:27 by Rick ParenteRick Parente
The primary purpose of this study was to evaluate the use of an Association Rule General Analytic System (ARGAS) versus the General Linear Model (GLM) for hypothesis testing. Results indicate that the ARGAS provides an better alternative method for testing hypotheses when the assumptions of the GLM are violated. The ARGAS approach can be used with any experimental design to which the GLM can be applied. ARGAS is free of the usual assumptions of the GLM. A second purpose of the study was to illustrate how the ARGAS can be used for hypothesis testing with commonly used experimental designs.
Declaration of conflicts of interestNone
Corresponding author email@example.com
Lead author countryUnited States
Lead author job roleHigher Education Faculty 4-yr College
Lead author institutionTowson University
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