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METHODS FOR ANALYZING EXPERIMENTS WITH MULTIPLE CRITERIA *
Author(s) -
Messmer Donald J.,
Homans Richard E.
Publication year - 1980
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1980.tb01124.x
Subject(s) - covariance , variance (accounting) , computer science , multivariate statistics , analysis of covariance , variable (mathematics) , test (biology) , econometrics , statistics , multivariate analysis of variance , data mining , mathematics , economics , mathematical analysis , paleontology , accounting , biology
An approach to analyzing experimental data with multiple criteria is explained and demonstrated on data from a test of the effectiveness of two posters. As a supplement to traditional multivariate analysis of variance and covariance, the application of a step‐down F test is advocated when an ordering of the criterion is meaningful, and an analysis of contrasts is recommended when such an ordering is not managerially relevant. The step‐down procedure has the advantage of simultaneously testing an overall hypothesis and hypotheses on each criterion variable.