Study Question Review Audio Files for Quiz #2

 

 

1.  Describe the rationale for employing factorial designs. Tell “the IVs” versus “the effects” examined in a 2-factori design and tell the information obtained from each.

 

2. Distinguish among main effects, interaction effects, and simple (main) effects of a 2-factor design and tell the types of means involved in each.  For each, tell what means are compared, and the purpose(s) of examining each effect. 

 

3. Describe why main effects MUST be examined and described with caution when there is an interaction.  Give an example of an interaction that does influence the interpretation of at least one of the main effects and an example of an interaction that does not produce such an influence.

 

4. What are the kinds of RH:s (i.e., about what effects) that can be tested using a 2-factor design, and how do you determine which type a given RH: is? Within a 2-factor design, when is a RH: for a main effect fully supported?

 

5. Describe the ways to select "the set" of simple effects to test an interaction RH: within  2-factor design,

 

6. When can what effects (main, simple & interaction) of a 2-factor design be causally interpreted?

 

7. For a kxk factor design, describe the different significance tests available and what each is used for.

 

8. Describe how to determine which parts of a 2-factorl design should be used to evaluate the “replication” and the “generalizability” of a previous 1-factor study.

 

9. Distinguish BG, WG & MG designs.  Tell what ANOVA model is used for each.  Tell which effects (including simple effects)  of which models can be causally interpreted.

 

10. Describe a 3-way factorial design and tell each of the effects and F-tests involved in this design.  Contrast the definition of a 2-way and a 3-way interaction.

 

11. Distinguish among main effects, interaction effects, and simple (main) effects of a 3-factor design and tell the types of means involved in each.  For each, tell what means are compared, and the purpose(s) of examining each effect. 

12. Describe when one must be careful about the description of what effects from a 3-way factor design and how one determines whether each effect is “descriptive” or “unconditional”.

 

13. Describe under what conditions which effects of a 3-way factor design are causally interpretable.

 

14. Describe the different substantive reasons a researcher may select a 2-factor design. What are the statistical consequences & possible advantages of each. Considering this, what are the reasons a researcher might select a 3-factor design?

 

15. Help Describe how to determine which parts of a 3-factor design should be used to evaluate the “replication” and the “generalizability” of a previous 1-factor study.

 

16. Help Compare and contrast orthogonal and nonorthogonal 2-factor designs and tell why the latter occur. What are the “analytic consequences” of having a nonorthogonal design and how is this situation similar to the common situation in multiple regression analyses? What is the analyst to do?