Showing that the race model inequality is not violated

• Verfasst von: Gondan, Matthias [VerfasserIn]
• Verfasst von: Riehle, Verena [VerfasserIn]
• Verfasst von: Blurton, Steven P. [VerfasserIn]
• Titel: Showing that the race model inequality is not violated
• Verf.angabe: Matthias Gondan, Verena Riehl, Steven P. Blurton
• Jahr: 2012
• Umfang: 8 S.
• Fussnoten: Published online: 20 August 2011 ; Gesehen am 03.11.2018
• Titel Quelle: Enthalten in: Behavior research methods
• Ort Quelle: New York, NY : Springer, 2005
• Jahr Quelle: 2012
• Band/Heft Quelle: 44(2012), 1, Seite 248-255
• ISSN Quelle: 1554-3528
• DOI: doi:10.3758/s13428-011-0147-z
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Cognitive architecture
• Sach-SW: Divided attention
• Sach-SW: Model testing and validation
• Sach-SW: Non-inferiority
• K10plus-PPN: 1582286736

Abstract

When participants are asked to respond in the same way to stimuli from different sources (e.g., auditory and visual), responses are often observed to be substantially faster when both stimuli are presented simultaneously (redundancy gain). Different models account for this effect, the two most important being race models and coactivation models. Redundancy gains consistent with the race model have an upper limit, however, which is given by the well-known race model inequality (Miller, 1982). A number of statistical tests have been proposed for testing the race model inequality in single participants and groups of participants. All of these tests use the race model as the null hypothesis, and rejection of the null hypothesis is considered evidence in favor of coactivation. We introduce a statistical test in which the race model prediction is the alternative hypothesis. This test controls the Type I error if a theory predicts that the race model prediction holds in a given experimental condition.