Study Questions for Quiz #3

 

Additional Varieties

1. Describe the dimensions/attributes used to organize the variety of single-factor research designs and explain under what conditions results from which of the resulting designs may be causally interpreted.

 

Larger Designs & Role Explication

 

2. Describe the advantages of multiple condition designs, the different kinds of conditions that may be included and how a researcher decides which conditions to include in a research project.

 

3.  Tell the different types of variables involved in a design and how one decides the role of a variable in a particular study.

 

4. Describe the different ways of controlling potential confounds (be sure to address both subject and procedural variables) and tell why “equivalent on the average” is sufficient to allow causal interpretability of research results.

 

 

 

k-group ANOVA & Pairwise Comparisons

 

5. What is the H0: for ANOVA when applied to a multiple condition design?  What is the limitation of this procedure, and what do we do to accompany this initial test?  How do we choose which follow-up procedure to use?

 

6. What is "alpha inflation" and how does one calculate the extent of it for a given set of ANOVA follow-up analyses? Describe the three ways to assess Experiment-wise Type I error.  Which of these do you prefer?  Explain your answer carefully.

 

7. Be prepared to describe each of the following pairwise comparison methods, or to compare and contrast any pair.

Fisher's LSD               Fisher's protected t-test                      Tukey's HSD      Scheffe's          Bonferronni/Dunn's

 

Analytic Comparisons & Trend Analyses

 

8. Distinguish between simple comparisons, complex comparisons, trend analyses and pairwise comparisons and tell when the results from each of these can be causally interpreted.

 

9.  Distinguish the information obtained from a trend analysis versus from a series of pairwise comparisons and give a carefully explained example of each being used when the other should have been.

 

k-group

 

10. What is the H0: for X² when applied to a multiple condition design?  What is the limitation of this procedure, and what do we do to accompany this initial test? How do we choose which follow-up procedure to use?

 

11.  What is "alpha inflation" and how does one calculate the extent of it for a given set of X² follow-up analyses? Describe the three ways to assess Experiment-wise Type I error.  Which of these do you prefer?  Explain your answer carefully.

 

Correlations & Comparisons

 

12  Describe how to identify when to use each of the statistical models we have worked with in this unit. (2x2 & 2xk X2;  2BG, 2WG, kBG & kWG ANOVA; correlation, Steiger’s Z & Fisher’s Z)

 

13 Describe the different uses of Steiger’s Z-test and Fisher’s Z-test for comparing correlations? What questions needs to be separated from the questions answered by these tests?