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Evaluating group distributional characteristics: Why psychophysiologists should be interested in qualitative departures from the normal distribution

Published online by Cambridge University Press:  01 January 2000

TODD C. RINIOLO  and
STEPHEN W. PORGES
TODD C. RINIOLO
Affiliation:
Department of Psychology, Adams State College, Alamosa, Colorado, USA
STEPHEN W. PORGES
Affiliation:
Department of Human Development, University of Maryland, College Park, USA
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Abstract

Real data often do not approximate the normal distribution. Under nonnormal conditions, psychophysiologists who use parametric statistics may be testing with inadequate power and/or testing a measure of location (i.e., the mean) that does not represent the desired portion of the distribution for statistical comparison. The purpose of this paper is: first, to provide psychophysiologists with a method to investigate group distributional characteristics; second, to evaluate the distributional characteristics of heart period and respiratory sinus arrhythmia in human adults and newborns; third, to demonstrate the increased statistical power that can accompany the selection of an alternative statistical analysis for nonnormal data. Suggestions are provided on how to analyze nonnormal data.

Keywords

DataDistributionStatistics
Type
Research Article
Information
Psychophysiology , Volume 37 , Issue 1 , January 2000 , pp. 21 - 28
Copyright
© 2000 Society for Psychophysiological Research

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