potential exam 2 questions

canonical correlation, manova, profile analysis

Create a model for a significant correlation/dimension
How do you know it is significant?

Draw the canonical correlation input set up

Explain Redundancy Analysis, its importance and where to find it

What are the different types of redundancy

what are the canonical variables?

what is a canonical variate pair?

what is the canonical input matrix formula and what does each variable represent?

in canonical correlation, what does rci = square root of eigenvaluei mean?

define canonical correlation

define MANOVA

define Profile Analysis

what is the difference between MANOVA, Profile Analysis, and Doubly MANOVA?

explain canonical coefficients, their questions, and how are they different from other coefficients

what are manova advantages over anova

what is wolfram player

explain wilk’s stat and its equation

write out the homogeneity of covariance matrices

what is homog of reg? and it is different from the one used in anova?

write/fill in the data design for manova

write out a full factorial design eq for manova

what are the steps to manova

what are the different multivariate test critera? and when would you use these? please provide an example in your own research

write out the test stat wilk’s lambda eq and approx multi F and how are they related to each other?

what does a repeated measures data chart look like

does profile analysis use commensurate data? what is that?

how id profile analysis different than manova?

why would you use a profile analysis instead of a manova

what are the steps to profile analysis?

what is segmented data in profile analysis

why does profile aalysis look at the null and how do you do the matrices equations for profile analysis?

what is parallelism and flatness?

what is an S matrix?

what is Hotelling’s T² eq?

how do we test for interactions? simple effect and simple comparisons

what are interaction contrasts