Systems Factorial Technology with R

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Authors Joseph W. Houpt, Leslie M. Blaha, John P. McIntire, Paul R. Havig, James T. Townsend
Journal/Conference Name Behavior research methods
Paper Category
Paper Abstract Systems factorial technology (SFT) comprises a set of powerful nonparametric models and measures, together with a theory-driven experiment methodology termed the double factorial paradigm (DFP), for assessing the cognitive information-processing mechanisms supporting the processing of multiple sources of information in a given task (Townsend and Nozawa, Journal of Mathematical Psychology 39:321–360, 1995). We provide an overview of the model-based measures of SFT, together with a tutorial on designing a DFP experiment to take advantage of all SFT measures in a single experiment. Illustrative examples are given to highlight the breadth of applicability of these techniques across psychology. We further introduce and demonstrate a new package for performing SFT analyses using R for statistical computing.
Date of publication 2014
Code Programming Language R

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