Now showing items 1-3 of 3
Controlling the rate of Type I error over a large set of statistical tests
When many tests of significance are examined in a research investigation with procedures that limit the probability of making at least one Type I error—the so‐called familywise techniques of control—the likelihood of ...
Pairwise multiple comparison test procedures: An update for Clinical Child and Adolescent Psychologists
(Taylor & Francis, 2004)
Locating pairwise differences among treatment groups is a common practice of applied researchers. Articles published in this journal have addressed the issue of statistical inference within the context of an analysis of ...
The Pairwise Multiple Comparison Multiplicity Problem: An Alternative Approach to Familywise and Comparisonwise Type I Error Control
(American Psychological Association, 1999-03)
When simultaneously undertaking many tests of significance researchers are faced with the problem of how best to control the probability of committing a Type I error. The familywise approach deals directly with multiplicity ...