Hostname: page-component-745bb68f8f-d8cs5 Total loading time: 0 Render date: 2025-01-08T10:07:30.434Z Has data issue: false hasContentIssue false

A Sensitive Rank Test for Comparing the Effects of Two Treatments on a Single Group

Published online by Cambridge University Press:  01 January 2025

James N. Cronholm
Affiliation:
U. S. Army Medical Research Laboratory Fort Knox, Kentucky
Samuel H. Revusky
Affiliation:
U. S. Army Medical Research Laboratory Fort Knox, Kentucky

Abstract

By taking advantage of an experimental design which increases the number of observations per subject, the sensitivity of the proposed test is increased. In the first of a series of subexperiments, the score of a randomly selected experimentalS is ranked with the scores of the remaining (control) Ss, and the experimental S is discarded. This procedure is repeated until one S remains. The test criterion, Rn, is the sum of ranks of the experimental Ss; its exact sampling distribution, a normal approximation, and the sensitivity of the test relative to the Wilcoxon T, are described. Because of the large number of scores obtained, the test is particularly useful when preparing Ss is more costly than testing them, e.g., in tests following involved conditioning procedures. Since each S is discarded after experimental treatment, the test fills a real need in studies involving radiation, ablation, or other irreversible treatments.

Type
Original Paper
Copyright
Copyright © 1965 Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

The test criterion, the associated experimental procedure, and the measure of sensitivity are due to SHR; the generating function, tables, and large sample approximation are due to JNC.

References

Bradley, J. V. Distribution-free statistical tests. Wright Air Development Division Technical Report No. 60-661.Google Scholar