6370 Final Review

When deciding how large your sample size should be for your analysis, the first thing you need to do is:

Repeated Measures ANOVA includes:

The effect size used for Chi Square Analysis is:

A Covariate in ANCOVA is:

The Chi Square Test of Independence is used to:

Assumptions in Multiple Regression Include:

The best CV is one that is highly correlated with the DV but not correlated with the IV

Multiple Regression is:

You can perform traditional post hoc tests when using a covariate

Typically, stepwise entry in multiple regression is NOT recommended because:

The Chi Square goodness of fit test:

 Under which condition should a nonparametric test be used? 

When interpreting output for LDA, you want to review:

Sphericity is the assumption that the variances of the differences between all combinations of related groups are equal

The Friedman test is the nonparametric counterpart of the 

What type of research study produces data appropriate for the Friedman test?

In Multiple Regression the beta values:

The assumption that the relationship between the CV and the DV should be the same across all levels of the IV is:

In Multiple Regression, the effect size used is partial eta squared

Linear Discriminant Analysis is considered the opposite of MANOVA