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Systems factorial technology with R

Authors
  • Houpt, Joseph W.1
  • Blaha, Leslie M.2
  • McIntire, John P.2
  • Havig, Paul R.2
  • Townsend, James T.3
  • 1 Wright State University, Department of Psychology, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA , Dayton (United States)
  • 2 U.S. Air Force Research Laboratory, Wright-Patterson Air Force Base, Wright-Patterson AFB, OH, USA , Wright-Patterson AFB (United States)
  • 3 Indiana University, Bloomington, IN, USA , Bloomington (United States)
Type
Published Article
Journal
Behavior Research Methods
Publisher
Springer - Psychonomic Society
Publication Date
Sep 10, 2013
Volume
46
Issue
2
Pages
307–330
Identifiers
DOI: 10.3758/s13428-013-0377-3
Source
Springer Nature
Keywords
License
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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.

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