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Nonparametric Evaluation of Repeated Measurement Designs by Point‐Symmetry Testing
Author(s) -
Lienert G. A.,
Netter Petra
Publication year - 1986
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.4710280102
Subject(s) - nonparametric statistics , univariate , mathematics , statistics , statistical hypothesis testing , point (geometry) , repeated measures design , symmetry (geometry) , sign test , parametric statistics , multivariate statistics , econometrics , wilcoxon signed rank test , geometry , mann–whitney u test
It is suggested to use simultaneous point‐symmetry tests in evaluating trivariate repeated measurement designs nonparametrically. With k =3 treatments being applied to each of N individuals in randomized sequence, pairs of treatments are compared as to 3 variables or incremental sign patterns. It is shown that unifold trivariate tests preserve more information than do multifold univariate tests. The method is illustrated by an example from psychophysiological research.