Behaviormetrika
Online ISSN : 1349-6964
Print ISSN : 0385-7417
ISSN-L : 0385-7417
STATISTICAL CLASSIFICATION PROCEDURES FOR POLYGRAPH TESTS OF GUILTY KNOWLEDGE
Kohei Adachi
Author information
JOURNAL RESTRICTED ACCESS

1995 Volume 22 Issue 1 Pages 49-66

Details
Abstract

This paper presents statistical procedures for classifying records of psychophysiological responses obtained in the guilty knowledge polygraph tests. The procedures to be presented are divided into a within-subject approach and a training-data approach. In the former approach, the classification is made using only the record to be classified, whereas in the latter the rule for the classification is derived using training-data. The procedures were evaluated with records obtained in an experiment. The major result was that both the approaches yielded almost 80% correct classifications for the records containing a sufficient number of observations, but the within-subject approach became inaccurate for the records with few observations in contrast to the training-data approach showing stable outcomes. It was also shown that the statistical procedures were superior to the diagnostic procedure relying on human interpretations of the records.

Content from these authors
© The Behaviormetric Society of Japan
Previous article Next article
feedback
Top