2013
DOI: 10.3758/s13428-013-0377-3
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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 & Nozawa, 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 … Show more

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Cited by 96 publications
(130 citation statements)
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“…As described below, these strength manipulations allow us to compute one of the critical statistics of SFT which can enable us to determine the nature of the processes by which item and associative information are retrieved and the extent to which they interact (for an overview and tutorial on SFT, see Houpt et al, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…As described below, these strength manipulations allow us to compute one of the critical statistics of SFT which can enable us to determine the nature of the processes by which item and associative information are retrieved and the extent to which they interact (for an overview and tutorial on SFT, see Houpt et al, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…If the selective-influence assumption holds, we would expect that the former four tests are significant, and the latter four tests are not significant. See Houpt et al (2014) for more details. In addition, we tested the reaction time distributions at the factor level.…”
Section: Methodsmentioning
confidence: 99%
“…We adopted a nonparametric bootstrapping method (Van Zandt, 2000) and utilized statistics from the sft R package (Houpt, Blaha, McIntire, Havig, & Townsend, 2014) to analyze the reaction time data and make inferences. All analyses were conducted separately for each individual.…”
Section: Methodsmentioning
confidence: 99%
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