EFFECTS OF NONSPHERICITY TO THE ANALYSIS OF MULTIVARIATE REPEATED MEASURES DESIGNS
Abstract
The analysis of the data obtained from a multivariate repeated measures design, generally, it is accomplished across through of doubly multivariate model (MDM) analysis, or also by means of multivariate mixed model (MMM) analysis. Based on the examination of the Type I error rates and power of the referred procedures, the present investigation puts of relief, on the one hand, the superiority of the MDM approach on the corresponding MMM, except when the dispersion matrix satisfies multivariate sphericity or the sample size is very small and, on the other hand, the poor functioning some of the correction factors used to construct ajusted MMM tests, as for example suggested it in the routine MANOVA of the popular program SPSS.Downloads
The works published in this journal are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) retains the property rights (copyright) of published works, and encourages and enables the reuse of the same under the license specified in paragraph 2.
© Servicio de Publicaciones, Universidad de Murcia, 2022
2. The works are published in the online edition of the journal under a Creative Commons Reconocimiento-CompartirIgual 4.0 (legal text). You can copy, use, distribute, transmit and publicly display, provided that: i) you cite the author and the original source of publication (journal, editorial and URL of the work), ii) are not used for commercial purposes, iii ) mentions the existence and specifications of this license.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
3. Conditions of self-archiving. Is allowed and encouraged the authors to disseminate electronically pre-print versions (version before being evaluated and sent to the journal) and / or post-print (version reviewed and accepted for publication) of their works before publication, as it encourages its earliest circulation and diffusion and thus a possible increase in its citation and scope between the academic community. RoMEO Color: Green.
