Expression of error variance in an anova

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Reference no: EM13822590

Question 1: Which statistic is the best expression of error variance in an ANOVA?

MG
SSbet
SSwith
SStot

Question 2: 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

Question 3: With fewer degrees of freedom and larger critical values to exceed, how can the dependent samples t be more powerful than the independent t?

The larger critical value makes it easier to find statistical significance.
The dependent groups tests tend to have larger treatment effects.
The dependent groups tests can be repeated without affecting type I error.
The larger critical value is offset by lower amounts of error variance.

Question 4: In an analysis of significant differences, any variance in scores not related to the independent variable is represented where?

In any ancillary analysis that may be conducted
Error variance
In the differences between groups
As a portion of the treatment effect

Question 5: What measure of data variability did Fisher rely on for ANOVA?

The F ratio
The modified standard score
The squared difference between particular values and the relevant mean
The standard error of the difference between multiple groups

Question 6. 6. The treatment effect is a component of which of the following in the within-subjects F?

The measure-to-measure differences
The subject-to-subject differences
The measure times subjects differences
The residual differences

Question 7: The validity of results from independent t or one-way ANOVA rests on which assumption?

The dependent variable is at least ratio scale.
All groups receive the same level of the treatment.
The groups are equivalent before the treatment.
The independent variable is at least ordinal scale.

Question 8: When the dependent groups tests use matched pairs, what is it that is matched?

Subjects are matched on the degree of error variance each one manifests.
Subjects are matched so that each pair receives the same treatment.
Subjects are matched on variables other than the IV that affect the DV.
Subjects are matched so that there are no differences in the level of the DV.

Question 9: Why is matching uncommon when using the within-subjects F?

With several measures matching is usually unnecessary.
Multiple before/after t-tests will provide the same data.
Matching won't control the error variance in more than two subjects.
It's difficult to find enough subjects that have the same characteristics.

Question 10: Repeated measures designs reduce error variance as long as the scores are correlated.

True
False

Reference no: EM13822590

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