Analyzing reaction times

Reaction times (RTs) are an important source of information in experimental psychology. Classical methodological considerations pertaining to the statistical analysis of RT data are optimized for analyses of aggregated data, based on subject or item means (c.f., Forster & Dickinson, 1976). Mixed...

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Autores principales:	R. Harald Baayen, Petar Milin
Formato:	article
Lenguaje:	EN ES
Publicado:	Universidad de San Buenaventura 2010
Materias:	Reaction times distributions outliers transformations temporal dependencies linear mixed-effects modeling Psychology BF1-990
Acceso en línea:	https://doaj.org/article/29497db1c7f74dabbc2034b47320465c
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id	oai:doaj.org-article:29497db1c7f74dabbc2034b47320465c
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spelling	oai:doaj.org-article:29497db1c7f74dabbc2034b47320465c2021-11-25T02:23:55ZAnalyzing reaction times10.21500/20112084.8072011-20842011-7922https://doaj.org/article/29497db1c7f74dabbc2034b47320465c2010-12-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/807https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922Reaction times (RTs) are an important source of information in experimental psychology. Classical methodological considerations pertaining to the statistical analysis of RT data are optimized for analyses of aggregated data, based on subject or item means (c.f., Forster & Dickinson, 1976). Mixed-effects modeling (see, e.g., Baayen, Davidson, & Bates, 2008) does not require prior aggregation and allows the researcher the more ambitious goal of predicting individual responses. Mixed-modeling calls for a reconsideration of the classical methodological strategies for analysing rts. In this study, we argue for empirical exibility with respect to the choice of transformation for the RTs. We advocate minimal a-priori data trimming, combined with model criticism. We also show how trial-to-trial, longitudinal dependencies between individual observations can be brought into the statistical model. These strategies are illustrated for a large dataset with a non-trivial random-effects structure. Special attention is paid to the evaluation of interactions involving fixed-effect factors that partition the levels sampled by random-effect factors.R. Harald BaayenPetar MilinUniversidad de San BuenaventuraarticleReaction timesdistributionsoutlierstransformationstemporal dependencieslinear mixed-effects modelingPsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 2 (2010)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	Reaction times distributions outliers transformations temporal dependencies linear mixed-effects modeling Psychology BF1-990
spellingShingle	Reaction times distributions outliers transformations temporal dependencies linear mixed-effects modeling Psychology BF1-990 R. Harald Baayen Petar Milin Analyzing reaction times
description	Reaction times (RTs) are an important source of information in experimental psychology. Classical methodological considerations pertaining to the statistical analysis of RT data are optimized for analyses of aggregated data, based on subject or item means (c.f., Forster & Dickinson, 1976). Mixed-effects modeling (see, e.g., Baayen, Davidson, & Bates, 2008) does not require prior aggregation and allows the researcher the more ambitious goal of predicting individual responses. Mixed-modeling calls for a reconsideration of the classical methodological strategies for analysing rts. In this study, we argue for empirical exibility with respect to the choice of transformation for the RTs. We advocate minimal a-priori data trimming, combined with model criticism. We also show how trial-to-trial, longitudinal dependencies between individual observations can be brought into the statistical model. These strategies are illustrated for a large dataset with a non-trivial random-effects structure. Special attention is paid to the evaluation of interactions involving fixed-effect factors that partition the levels sampled by random-effect factors.
format	article
author	R. Harald Baayen Petar Milin
author_facet	R. Harald Baayen Petar Milin
author_sort	R. Harald Baayen
title	Analyzing reaction times
title_short	Analyzing reaction times
title_full	Analyzing reaction times
title_fullStr	Analyzing reaction times
title_full_unstemmed	Analyzing reaction times
title_sort	analyzing reaction times
publisher	Universidad de San Buenaventura
publishDate	2010
url	https://doaj.org/article/29497db1c7f74dabbc2034b47320465c
work_keys_str_mv	AT rharaldbaayen analyzingreactiontimes AT petarmilin analyzingreactiontimes
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Analyzing reaction times

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