Repeated Measures Designs and Analysis of Longitudinal Data

The analysis of repeated measures designs: a review.

Repeated measures ANOVA can refer to many different types of analysis. Specifically, this vague term can refer to conventional tests of significance, one of three univariate solutions with adjusted degrees of freedom, two different types of multivariate statistic, or approaches that combine univariate and multivariate tests. Accordingly, it is argued that, by only reporting probability values a...

Models of accuracy in repeated-measures designs

Accuracy is often analyzed using analysis of variance techniques in which the data are assumed to be normally distributed. However, accuracy data are discrete rather than continuous, and proportion correct are constrained to the range 0–1. Monte Carlo simulations are presented illustrating how this can lead to distortions in the pattern of means. An alternative is to analyze accuracy using logi...

Multivariate Analysis of Repeated Measures Data

ABSTRACT In this paper, we have used SAS software for the multivariate analysis of repeated measures data due to Grizzel and Allen (1969). We have applied four multivariate methods viz MANOVA, Profile Analysis, non-parametric multisample rank sum test and non-parametric multisample median test to analyse two sets of data. The findings of the study reveal that profile analysis gives similar resu...

A Comparison of Data Analysis Strategies for Testing Omnibus Effects in Higher-Order Repeated Measures Designs.

Methods for analyzing repeated measures data, in addition to the conventional and corrected degrees of freedom univariate and multivariate solutions, are presented in this review. These "newer" methods offer researchers either improved control over Type I errors and/or greater power to detect treatment effects when (a) certain assumptions are violated, and/or (b) missing data exists. In particu...

A Bayesian approach to the mixed-effects analysis of accuracy data in repeated-measures designs