DSpace Repository

Pairwise multiple comparisons: A model comparisons approach versus stepwise procedures

Pairwise multiple comparisons: A model comparisons approach versus stepwise procedures

Show full item record

Title: Pairwise multiple comparisons: A model comparisons approach versus stepwise procedures
Author: Cribbie, Robert A.
Keselman, H. J.
Abstract: Researchers in the behavioural sciences have been presented with a host of pairwise multiple comparison procedures that attempt to obtain an optimal combination of Type I error control, power, and ease of application. However, these procedures share one important limitation: intransitive decisions. Moreover, they can be characterized as a piecemeal approach to the problem rather than a holistic approach. Dayton has recently proposed a new approach to pairwise multiple comparisons testing that eliminates intransitivity through a model selection procedure. The present study compared the model selection approach (and a protected version) with three powerful and easy‐to‐use stepwise multiple comparison procedures in terms of the proportion of times that the procedure identified the true pattern of differences among a set of means across several one‐way layouts. The protected version of the model selection approach selected the true model a significantly greater proportion of times than the stepwise procedures and, in most cases, was not affected by variance heterogeneity and non‐normality.
Sponsor: Social Sciences and Humanities Research Council
Subject: multiple comparisons
model selection
stepwise procedure
Type: Article
Rights: https://onlinelibrary.wiley.com/doi/abs/10.1348/000711003321645412
URI: https://doi.org/10.1348/000711003321645412
http://hdl.handle.net/10315/34615
Published: Wiley
Citation: Cribbie, R. A. & Keselman, H. J. (2003). Pairwise multiple comparisons: A model comparisons approach versus stepwise procedures. British Journal of Mathematical and Statistical Psychology, 56, 167-182. doi: 10.1348/000711003321645412
Date: 2003-05

Files in this item



Article Level Metrics




This item appears in the following Collection(s)