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dc.contributor.authorCribbie, Robert A.
dc.contributor.authorKeselman, H. J.
dc.identifier.citationCribbie, 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
dc.description.abstractResearchers 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.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council
dc.subjectmultiple comparisonsen_US
dc.subjectmodel selectionen_US
dc.subjectstepwise procedureen_US
dc.titlePairwise multiple comparisons: A model comparisons approach versus stepwise procedures

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