A MONTE CARLO STUDY OF MULTIPLE COMPARISON TECHNIQUES.

Abstract

A study was conducted on the multiple comparison methods presented by Scheffe, Tukey, Student-Newman-Keuls, and Duncan under the experimental situation in which all populations were normal with equal variances and all means but one were equal. The characteristics of all four test procedures were compared for the case of multiple comparisons of pairs of means. These tests were conducted both with and without the prior performance of an analysis of variance. The Tukey and Scheffe procedures were compared in tests of linear combinations of three means. Estimates were made of the power of the tests and of Type I error rates under both the null and alternate hypotheses. Scheffe's method was found to be too conservative for pairwise comparisons of means, but it was to be preferred over Tukey's method for combinations of more than two means. Duncan's method was the most powerful test of pairwise comparisons, but it maintained little control over one kind of Type I error. The S-N-K procedure showed a good balance between power and control of Type I errors. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1969
Accession Number
AD0705090

Entities

People

  • Merlin Gene Bell

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computing-Related Activities
  • Data Science
  • Hypotheses
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics

Fields of Study

  • Education

Readers

  • Regression Analysis.