Titre
Against coefficient of variation for estimation of intraindividual variability with accuracy measures
Type
article
Institution
Externe
Périodique
Auteur(s)
Golay, P.
Auteure/Auteur
Fagot, D.
Auteure/Auteur
Lecerf, T.
Auteure/Auteur
Liens vers les personnes
ISSN
1913-4126
Statut éditorial
Publié
Date de publication
2013
Volume
9
Numéro
1
Première page
6
Dernière page/numéro d’article
14
Peer-reviewed
Oui
Langue
anglais
Résumé
Previous studies have shown that intraindividual variability (iV) in performance is an
important indicator of individual's cognitive functioning and neurological integrity.
While most experiments have examined iV of performance using Reaction Time data
(RTs), few studies have considered it with accuracy measures (e.g. number /
percentage of correct responses). For these two types of measures, intraindividual
standard deviation (iSD) or intraindividual coefficient of variation (iCV;
intraindividual standard deviation divided by the individual mean) were used as
indicators of iV in performance. However, because accuracy data have a lower and an
upper bound (in contrast to RTs), we illustrate both formally and with simulated data,
that the iCV cannot be used with accuracy measures. We also show that the coefficient
iCV is influenced by the number of items which is an issue when dealing with missing
data. We further provide formulas that may help researchers to visualize and correctly
interpret their data using any spreadsheet software. The current article finally
proposes an alternative coefficient (zeta) to examine iV in performance with accuracy
measures that shows similar behaviour as does iCV with RTs data.
important indicator of individual's cognitive functioning and neurological integrity.
While most experiments have examined iV of performance using Reaction Time data
(RTs), few studies have considered it with accuracy measures (e.g. number /
percentage of correct responses). For these two types of measures, intraindividual
standard deviation (iSD) or intraindividual coefficient of variation (iCV;
intraindividual standard deviation divided by the individual mean) were used as
indicators of iV in performance. However, because accuracy data have a lower and an
upper bound (in contrast to RTs), we illustrate both formally and with simulated data,
that the iCV cannot be used with accuracy measures. We also show that the coefficient
iCV is influenced by the number of items which is an issue when dealing with missing
data. We further provide formulas that may help researchers to visualize and correctly
interpret their data using any spreadsheet software. The current article finally
proposes an alternative coefficient (zeta) to examine iV in performance with accuracy
measures that shows similar behaviour as does iCV with RTs data.
PID Serval
serval:BIB_749D963F46DD
Date de création
2013-09-23T10:50:41.399Z
Date de création dans IRIS
2025-05-20T21:32:49Z
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BIB_749D963F46DD.P001.pdf
Version du manuscrit
published
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507.77 KB
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Adobe PDF
PID Serval
serval:BIB_749D963F46DD.P001
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