Todd C. Riniolo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Todd C. Riniolo has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Stephen W. Porges
Department of Human Development, University of Maryland, College Park, USA
1 shared publication - Stephen W. Porges
Traumatic Stress Research Consortium, Kinsey Institute, Indiana University, Bloomington, IN 47405, USA
1 shared publication
Latest Publications
- 1 January 2000
- Vol. 37 (1) , 21-8
Evaluating group distributional characteristics: why psychophysiologists should be interested in qualitative departures from the normal distribution.
Real data often do not approximate the normal distribution. Under nonnormal conditions, psycho-physiologists 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 psycho-physiologists 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.
- 1 January 2000
- Vol. 37 (1) , 21-8
Evaluating group distributional characteristics: why psychophysiologists should be interested in qualitative departures from the normal distribution.
Real data often do not approximate the normal distribution. Under nonnormal conditions, psycho-physiologists 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 psycho-physiologists 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.
- 1 January 2000
- Published by Wiley in Psychophysiology
- Vol. 37 (1) , 21-28
Evaluating group distributional characteristics: Why psychophysiologists should be interested in qualitative departures from the normal distribution
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.
- 1 January 2000
- Published by Wiley in Psychophysiology
- Vol. 37 (1) , 21-28
Evaluating group distributional characteristics: Why psychophysiologists should be interested in qualitative departures from the normal distribution
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.