Literature DB >> 24788227

State-trace analysis can be an appropriate tool for assessing the number of cognitive systems: a reply to Ashby (2014).

John C Dunn1, Michael L Kalish, Ben R Newell.   

Abstract

Ashby (2014) has argued that state-trace analysis (STA) is not an appropriate tool for assessing the number of cognitive systems, because it fails in its primary goal of distinguishing single-parameter and multiple-parameter models. We show that this is based on a misunderstanding of the logic of STA, which depends solely on nearly universal assumptions about psychological measurement and clearly supersedes inferences based on functional dissociation and the analysis of interactions in analyses of variance. We demonstrate that STA can be used to draw inferences concerning the number of latent variables mediating the effects of a set of independent variables on a set of dependent variables. We suggest that STA is an appropriate tool to use when making arguments about the number of cognitive systems that must be posited to explain behavior. However, no statistical or inferential procedure is able to provide definitive answers to questions about the number of cognitive systems, simply because the concept of a "system" is not defined in an appropriate way.

Entities:  

Mesh:

Year:  2014        PMID: 24788227     DOI: 10.3758/s13423-014-0637-y

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  19 in total

1.  Accounts of the confidence-accuracy relation in recognition memory.

Authors:  T A Busey; J Tunnicliff; G R Loftus; E F Loftus
Journal:  Psychon Bull Rev       Date:  2000-03

Review 2.  Decisions and the evolution of memory: multiple systems, multiple functions.

Authors:  Stanley B Klein; Leda Cosmides; John Tooby; Sarah Chance
Journal:  Psychol Rev       Date:  2002-04       Impact factor: 8.934

Review 3.  What can we infer from double dissociations?

Authors:  John C Dunn; Kim Kirsner
Journal:  Cortex       Date:  2003-02       Impact factor: 4.027

4.  Beyond existence: inferences about mental processes from reversed associations.

Authors:  Helena Kadlec; Iris van Rooij
Journal:  Cortex       Date:  2003-02       Impact factor: 4.027

5.  The design and analysis of state-trace experiments.

Authors:  Melissa Prince; Scott Brown; Andrew Heathcote
Journal:  Psychol Methods       Date:  2011-10-31

6.  On the interpretation of removable interactions: a survey of the field 33 years after Loftus.

Authors:  Eric-Jan Wagenmakers; Angelos-Miltiadis Krypotos; Amy H Criss; Geoff Iverson
Journal:  Mem Cognit       Date:  2012-02

7.  Linear theory, dimensional theory, and the face-inversion effect.

Authors:  Geoffrey R Loftus; Martin A Oberg; Allyss M Dillon
Journal:  Psychol Rev       Date:  2004-10       Impact factor: 8.934

8.  Dimensions in data: testing psychological models using state-trace analysis.

Authors:  Ben R Newell; John C Dunn
Journal:  Trends Cogn Sci       Date:  2008-07-05       Impact factor: 20.229

Review 9.  The dimensionality of the remember-know task: a state-trace analysis.

Authors:  John C Dunn
Journal:  Psychol Rev       Date:  2008-04       Impact factor: 8.934

10.  Discovering functionally independent mental processes: the principle of reversed association.

Authors:  J C Dunn; K Kirsner
Journal:  Psychol Rev       Date:  1988-01       Impact factor: 8.934

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