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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Bibliographic Details
Published in:	Journal of food science Vol. 71; no. 2; pp. S132 - S143
Main Authors:	Christensen, Z.T, Ogden, L.V, Dunn, M.L, Eggett, D.L
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01-03-2006 Institute of Food Technologists Wiley Subscription Services, Inc
Subjects:	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 Data analysis Sensory analysis ranked data Multiple comparison critical value
Online Access:	Get full text
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Summary:	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.
Bibliography:	ark:/67375/WNG-9XR144HB-T ArticleID:JFDSS132 istex:B8D67EEF6F1D69963D7E5BFE51830B750C14EFAE
ISSN:	0022-1147 1750-3841
DOI:	10.1111/j.1365-2621.2006.tb08916.x