Repeated measures can occur on subjects that are nested within clusters. The clusters may be considered a random effect. Then the covariance structure must accommodate between-cluster variance as well as within-cluster covariance. There also may be higher levels of clustering. In addition, there may be other fixed effect factors that are crossed with some or all of the random effects. The covar...

PURPOSE To establish the reliability of various measures obtained during single and repeated countermovement jump (CMJ) performance in an elite athlete population. METHODS Two studies, each involving 15 elite Australian Rules Football (ARF) players were conducted where subjects performed two days, separated by one week, of AM and PM trials of either a single (CMJ1) or 5 repeated CMJ (CMJ5). E...

Loftus's (1993b, 1995) recommendation that investigators routinely include plots of appropriate means along with 95%confidence intervals or some other indication of variability has considerable merit, yet we agree with Morrison and Weaver (1995) that such plots can supplement but not supplant the usual reporting of analysis of variance results. Providing them may be easier than Loftus and Masso...

Randomized block and split plot designs are among the most commonly used experimental designs in forest research. Measurements for plots in a block (or subplots in a whole plot) are correlated with each other, and these correlations must be taken into account when analyzing repeated measures data from blocked designs. The analysis is similar to repeated measures analysis for a completely random...

Researchers involved with longitudinal studies are faced with the problem of trying to get study subjects to return for every follow-up visit. There is always some amount of missing data when looking at these types of studies. The MIXED procedure of the SAS enables examination of correlational structures and variability changes between repeated measurements on experimental units across time. Wh...