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Analysis of repeated measurements
Author(s) -
Rogan Joanne C.,
Keselman H. J.,
Mendoza Jorge L.
Publication year - 1979
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1979.tb00598.x
Subject(s) - univariate , type i and type ii errors , mathematics , multivariate statistics , statistics , econometrics , population , demography , sociology
Recent literature demonstrates that uniformity of population variances and covariances is a sufficient but not a necessary requirement for valid F ratios in repeated measures designs; the tests will be valid if the loss restrictive condition of circularity is satisfied. The circularity assumptions of various repeated measures designs are presented and the empirical literature is reviewed and interpreted in light of these assumptions. An empirical investigation is then presented which compares numerous data analytic strategies when circularity assumptions have been violated, Results indicate that adjusted univariate and multivariate tests are comparable with respect to Type I error control and power. Furthermore, it is shown that by formulating planned comparisons researchers can by pass all or some circularity constraints.