Multiple comparison procedures for analysis of ranked data

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 sign...

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Veröffentlicht in:	Journal of food science 2006-03, Vol.71 (2), p.S132-S143
Hauptverfasser:	Christensen, Z.T, Ogden, L.V, Dunn, M.L, Eggett, D.L
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Comparative analysis consumer preferences critical value data analysis Food industries Food science Fundamental and applied biological sciences. Psychology model validation multiple comparison ranked data sensory analysis sensory evaluation statistical models
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Beschreibung
Zusammenfassung:	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.
ISSN:	0022-1147 1750-3841
DOI:	10.1111/j.1365-2621.2006.tb08916.x