Multiple Comparisons For Repeated Measures Means
- 1 January 1982
- journal article
- research article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 17 (1) , 87-92
- https://doi.org/10.1207/s15327906mbr1701_5
Abstract
The paper shows how multiple comparison procedures for repeated measures means employing a pooled estimate of error variance must conform to the sphericity assumptions of the design in order to provide a valid test. Since it is highly unlikely that behavioral science data will satisfy this condition the paper presents a test statistic that, depending upon the design, will provide either an exact or robust test and is generalizable to designs containing any number of repeated factors. Finally, various critical values are enumerated to limit the joint level of significance at α.Keywords
This publication has 2 references indexed in Scilit:
- Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot DesignsJournal of Educational Statistics, 1976
- Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-DistributionsJournal of the American Statistical Association, 1970