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Analysis of response time distributions

An example using the Stroop task

Datos Bibliográficos

ID7983017
AutoresAndrew Heathcote (0000-0003-4324-5537, Northwestern University), Stephen J Popiel, D J Mewhort, D J K Mewhort
Año1991
Volumen109
Número2
Páginas340-347
Fecha de publicación1991-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaPsychological Bulletin (JOURNAL)
Identificadores de la revistaISSN: 0033-2909 • E-ISSN: 1939-1455
EditorialAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0033-2909.109.2.340
OpenAlexW2086295830
IdiomaEN
Citas recibidas41
Referencias citadas5

The shape of a response time (RT) distribution can be described by a 3-parameter model consisting of the convolution of the normal and exponential distributions, the ex-Gaussian. Analyses based on mean RT do not take the distribution's shape into account and, for that reason may obscure aspects of performance. To illustrate the point, the ex-Gaussian mode) was applied to data obtained, from a Stroop task. Mean RT revealed strong interference but no facilitation, whereas the analysis based on the ex-Gaussian model showed bath interference and facilitation. In short, analyses that do not take the shape of RT distributions into account can mislead and, therefore, should be avoided

Audiology · Cognition · Cognitive psychology · Stroop effect · Task (project management) · Diverse Scientific and Engineering Research · Engineering · Gaussian Processes and Bayesian Inference · Medicine · Neuroscience · Psychology · Scientific Research and Discoveries

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Obras citantes distintas41
Citas por año1,24
Intervalo de citas1993 - 2026 (34)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 34
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