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Evaluating Chessboard MANOVA Designs Using Predictive and Matching Configural Frequency Analysis
Author(s) -
Bergman L. R.,
Lienert G. A.
Publication year - 1991
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710330603
Subject(s) - multivariate analysis of variance , nonparametric statistics , statistics , multivariate statistics , matching (statistics) , multivariate analysis , complement (music) , econometrics , computer science , mathematics , biology , biochemistry , complementation , gene , phenotype
This paper concerns the nonparametric evaluation of chessboard MANOVA designs. For this purpose, a matching procedure based on rook methodology is suggested as a complement to predictive coafigural frequency analysis. Using this procedure, a multivariate hypothesis can be tested in a single test. It is also possible to design a significance test to fit a specific composite hypothesis. The procedure is illustrated by results from a multivariate psychopharmacological experiment in which the effects of alcohol and caffeine were studied on test performance and volatility.