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A multivariate method for the classification of preexisting near-death conditions

Stuart W. Twemlow, Glen O. Gabbard, L. Coyne

Journal of Near-Death Studies December 1, 1982 DOI: 10.17514/jnds-1982-2-2-p132-139 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study (multivariate analysis of existing data) Peer reviewed
Sample size 33
Population People who had near-death experiences
Key findings A multivariate analysis of 33 near-death experience accounts yielded five clusters relating the phenomenology of the experience to preexisting conditions: Low Stress, Emotional Stress, Intoxicant, Cardiac Arrest, and Anesthetic. The author argues these clusters have heuristic value and that the statistical technique used suits categorical data with few subjects and many variables.

Abstract

Abstract: This study reports the results of a multivariate analysis of data from 33 subjects who had near-death experiences. The analysis examined the relationship between the phenomenology of the experience and preexisting conditions. Five clusters were derived: Low Stress, Emotional Stress, Intoxicant, Cardiac Arrest, and Anesthetic. The heuristic value of these clusters is discussed. The statistical technique used is also discussed in some detail since it is particularly suitable for category data of this type where small numbers of subjects and large numbers of variables are involved in the analysis.

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