Jul 22, 2018 · The method for computing degrees of freedom that lme() uses is laid out in Pinheiro & Bates 2000, p. 91, but the most comprehensive discussion of the related controversies and pitfalls that I know of (including a case where lme() calculates the degrees of freedom incorrectly!) is at Ben Bolker's GLMM FAQ:
Repeated Measures ANOVA was used to test the hypothesis whether babies with cocaine exposure were less heavy and had slower growth rates than babies without cocaine exposure. The dependent variable in the study was weight in grams repeatedly measured for four times. Repeated measures ANOVA Repeated measures analysis of variance (rANOVA) is a commonly used statistical approach to repeated measure designs.  With such designs, the repeated-measure factor (the qualitative independent variable) is the within-subjects factor, while the dependent quantitative variable on which each participant is measured is ...
One Factor Repeated Measure ANOVA (Multivariate Approach) Example: Effect of digitalis on calcium levels in dogs Goal: To determine if the level of digitalis affects the mean level of calcium in dogs when repeated measures were obtained from each dog. A study was conducted to compare the effect of three levels of digitalis on the level of The Factorial ANOVA (with two mixed factors) is kind of like combination of a One-Way ANOVA and a Repeated-Measures ANOVA. Here's an example of a Factorial ANOVA question: Researchers want to see if high school students and college students have different levels of anxiety as they progress through the semester. Dec 29, 2018 · Introduction. A one-way repeated measures ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group.
Answer: It is the assumption that the variances for levels of a repeated-measures variable are equal A nutritionist conducted an experiment on memory for dreams. She wanted to test whether it really was true that eating cheese before going to bed made you have bad dreams. A multilevel linear model is a repeated measures version of linear regression Remember, ANOVA and linear regression are kind of the same thing Multilevel models far more ﬂexible than the repeated measures ANOVA We will learn all about them next week! Mar 09, 2017 · Repeated measures ANOVA falls apart when repeats are unbalanced. For example, a common design is to observe behaviors of different types, then compare them. One of the data sets we use in our Repeated Measures workshop compares the time it takes an infant to breath out while uttering different types of sounds.