Repeated Measures and MANOVA
Analysis of variance, repeated measures modeling, and multiple comparisons for data with multiple responses
|Fit repeated measures model|
|Repeated measures analysis of variance|
|Mauchly’s test for sphericity|
|Epsilon adjustment for repeated measures anova|
|Multiple comparison of estimated marginal means|
|Analysis of variance for between-subject effects in a repeated measures model|
|Multivariate analysis of variance|
|Linear hypothesis test on coefficients of repeated measures model|
|Compute descriptive statistics of repeated measures data by group|
|Estimate marginal means|
|Plot data with optional grouping|
|Plot expected marginal means with optional grouping|
|Compute predicted values given predictor values|
|Generate new random response values given predictor values|
|One-way multivariate analysis of variance|
|Dendrogram of group mean clusters following MANOVA|
|Repeated measures model object|
- Model Specification for Repeated Measures Models
Learn how to specify a repeated measures model in
- Mauchly’s Test of Sphericity
Learn the test of sphericity used in repeated measures models.
- Compound Symmetry Assumption and Epsilon Corrections
Learn the different epsilon corrections used in p-value calculations in the repeated measures ANOVA when the compound symmetry assumption fails.
- Multivariate Analysis of Variance for Repeated Measures
Learn the four different methods used in multivariate analysis of variance for repeated measures models.
- Wilkinson Notation
Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.
MANOVA is a form of ANOVA with multiple response variables. It determines whether the entire set of means is different from one group to the next.