Multiple Comparison Procedures for Analysis of Ranked Data

Authors


Direct inquiries to author Ogden (E-mail: Lynn_Ogden@byu.edu).

ABSTRACT

Multiple comparison procedures for analysis of ranked data are available in tabular form for quick determination of significance. It was determined that the method used by Basker and Newell to determine critical values was overly conservative. Those values are useful for determining the overall significance of the model. Additional multiple comparison tables of critical values are presented for determining the rank significance of all samples within the set. Both sets of tables are included.

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