1. Match the following terms with definitions that will be provided:
|
Terms
|
|
|
Homogeneity of slopes assumption
|
Eta squared
|
|
Factor
|
Covariate
|
|
Levene's test
|
Systematic bias
|
|
Interaction
|
Main effect
|
|
Cell
|
Ordinal interaction
|
|
Wilk's Lambda
|
Disordinal interaction
|
|
One-Way MANCOVA
|
Box's M test
|
|
Pairwise comparisons
|
Level
|
|
ANCOVA
|
Two-Way ANOVA
|
|
Linearity
|
Heteroscedasticity
|
2. What are some advantages of a two-way factorial ANOVA design?
3. What is the difference between ordinal and disordinal interaction?
4. What is a covariate? Why do we use them?
5. What are important considerations in choosing covariates?
6. What are the three 'F' values that are generated in Two-Way ANOVA? What do they stand for?
7. What are the components of the formula to determine how many covariates you can put into your ANCOVA test?
8. What is the process used to interpret output for Factorial ANOVA?
9. How do we evaluate homogeneity of variance in an ANOVA?
10. How is the variance in One-Way ANOVA partitioned? How about Two-Way ANOVA?
11. What is a factor and what is a level?
12. What are two reasons that MANOVA is such a powerful test?
13. What is the function of Box's M in MANOVA/MANCOVA?
14. What are the advantages of MANOVA?
15. How would you define 'main effect'?
16. What is the purpose of post-hoc procedures?
17. What exactly is interaction between factors?
18. To test linearity prior to an ANCOVA, what must you know about your variables?
19. How is regression a component of ANCOVA?
20. How do we handle post-hoc interpretation when you have only two groups?
21. What is the sequence of notations for summarizing the results of a MANOVA test?
22. What numbers are selected in the Two-Way ANOVA table to communicate degrees of freedom when writing a results section?
23. Describe the sequence and process of interpreting SPSS output for a Two-Way ANCOVA.
24. How do we handle post-hoc tests for ANCOVA?
25. What is the most common reason or purpose for using an ANCOVA test?