Question 1. The number of sets of measures that a within-subjects F will accommodate is ___________.
one
two
two or more
three or more

Question 2. The eta-squared statistic _____________.
provides a measure of practical importance
indicates the ratio of treatment effect to error variability
indicates which set of scores are significantly different from which
provides a test of the probability of committing a decision error

Question 3. A matched pairs design requires no more time to administer than an independent groups test.
True
False

Question 4. What is the highest value eta-square can have?
There is no upper limit.
1.0
.5
.25

Question 5. The within-subjects F is the dependent groups equivalent to what independent groups test?
The independent t-test
The one-way ANOVA
The one sample t-test
The z-test

Question 6. Besides the tedium involved in performing all possible comparisons, what is the problem in conducting all possible t-test with multiple groups?
Mounting alpha error
Mounting beta error
Locating significance
Determining the effect size

Question 7. What is the statistical focus of a one-way analysis of variance?
Means
Variances
Correlations
People

Question 8. Matched pairs analyses are common with more than two groups.
True
False

Question 9. Dependent groups designs have what strength from the standpoint of analysis?
They are more time efficient than independent groups designs.
They allow more variables to be analyzed than independent groups designs.
They eliminate initial between groups differences.
They allow for more liberal assumptions about data normality.

Question 10. The magnitude of any sum of square value reflects which of the following?
The treatment effect
The impact of the dependent variable
The number of scores included
The effect size