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- W2004249042 abstract "Simulated data for a two-group repeated measurements design were generated with different numbers of equally-spaced measurements interposed between baseline and the end of the study. A standard repeated measurements ANOVA for a split-pilot design was used to test the significance of the between-groups main effect, the Geisser-Greenhouse corrected groups x times interaction, and the difference in linear trends across time. The analyses were repeated with and without baseline measurements entered as a covariate in the model. Monte Carlo results confirmed that increasing the number of repeated measurements across a fixed treatment period generally had negative or neutral implications for power of the tests of significance in the presence of serial dependencies that produced heterogeneous correlations among the repeated measurements. © 1996 John Wiley & Sons, Inc." @default.
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- W2004249042 date "1996-05-01" @default.
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- W2004249042 title "How many repeated measurements are useful?" @default.
- W2004249042 doi "https://doi.org/10.1002/(sici)1097-4679(199605)52:3<243::aid-jclp1>3.0.co;2-t" @default.
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