Applications of the HotellingT2Statistic to Designs Involving Multiple Measures on Two Dimensions

Multiple measures taken on subjects are usually classified along two dimensions: (1) measures on the same dependent variable taken at different periods of time or occasions; and (2) measures on different dependent variables taken at one testing or observation period. In this paper an appropriate procedure for the analysis of “multivariate repeated measures” designs, i.e. designs in which measures are taken along both dimensions simultaneously, is discussed. Examples are given of the application of the procedure to quasi-experimental time-series designs and to the problem of determining rater agreement when a group of individuals are rated on more than one variable.