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Journal of Experimental Social Psychology
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DI-fusion
Article . 2013 . Peer-reviewed
Data sources: DI-fusion
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Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Authors: Leys, Christophe; Ley, Christophe; Klein, Olivier; Bernard, Philippe; Licata, Laurent;

Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Abstract

A survey revealed that researchers still seem to encounter difficulties to cope with outliers. Detecting outliers by determining an interval spanning over the mean plus/minus three standard deviations remains a common practice. However, since both the mean and the standard deviation are particularly sensitive to outliers, this method is problematic. We highlight the disadvantages of this method and present the median absolute deviation, an alternative and more robust measure of dispersion that is easy to implement. We also explain the procedures for calculating this indicator in SPSS and R software.

Countries
Luxembourg, Belgium
Keywords

Sciences sociales & comportementales, psychologie, Social Psychology, Sociology and Political Science, MAD, Physique, chimie, mathématiques & sciences de la terre, Median absolute deviation, Mathématiques, Physical, chemical, mathematical & earth Sciences, Social & behavioral sciences, psychology, Outlier, Statistique politico-sociale, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3K
Top 0.01%
Top 0.01%
Top 0.1%
Green