Question 21 (1 point)
The data from a repeated-measures research study show that the difference between treatment I and treatment II is large and positive for some subjects, large and negative for some subjects, and near zero for some subjects. These data will produce
Question 21 options:
a) |
a small sample variance and a large t statistic. |
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b) |
a small sample variance and a small t statistic. |
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c) |
a large sample variance and a large t statistic. |
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d) |
a large sample variance and a small t statistic. |
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Question 22 (1 point)
A research report describing the results from a repeated-measures study includes the following: “The data show no significant difference between the two treatments, t(10) = 1.65, p > .05.” Based on this report, you can conclude that a total of _______ individuals participated in the research study.
Question 22 options:
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Question 23 (1 point)
For which of the following situations would a repeated-measures design have a substantial advantage over an independent-measures design.
Question 23 options:
a) |
few subjects are available and individual differences are large |
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b) |
few subjects are available and individual differences are small |
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c) |
many subjects are available and individual differences are large |
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d) |
many subjects are available and individual differences are small |
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Question 24 (1 point)
A researcher obtains t = 2.10 for a repeated-measures study using a sample of n = 16 participants. Based on this t value, what is the correct decision?
Question 24 options:
a) |
reject the null hypothesis with = .05 but not with = .01 |
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b) |
reject the null hypothesis with either = .05 or = .01 |
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c) |
fail to reject the null hypothesis with either = .05 or = .01 |
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d) |
cannot make a decision without additional information |
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Question 25 (1 point)
A researcher obtains t = 3.00 for a repeated-measures study using a sample of n = 10 participants. If the researcher measures effect size using the percentage of variance accounted for, what value will be obtained for?
Question 25 options: