title: Systems factorial technology with R.
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.
authors.affiliation: Department of Psychology, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA, joseph.houpt@wright.edu.
authors.forename: Joseph W
authors.initials: JW
authors.lastname: Houpt
authors.forename: Leslie M
authors.initials: LM
authors.lastname: Blaha
authors.forename: John P
authors.initials: JP
authors.lastname: McIntire
authors.forename: Paul R
authors.initials: PR
authors.lastname: Havig
authors.forename: James T
authors.initials: JT
authors.lastname: Townsend
mesh_terms: D001288:Attention / Q000502:physiology; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation; D005163:Factor Analysis, Statistical; D006801:Humans; D008960:Models, Psychological; D018709:Statistics, Nonparametric; D013269:Stochastic Processes; D013597:Systems Analysis; D013647:Task Performance and Analysis; D014796:Visual Perception / Q000502:physiology; D016526:Workload / Q000523:psychology