QUESTION 14 "Compared to an independent-measures design, a repeated-measures study is more likely to find a statistically significant effect because it reduces the contribution of variance due to time-related factors. O order effects. the effect of the treatment. individual differences. D000

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Question 14**

Compared to an independent-measures design, a repeated-measures study is more likely to find a statistically significant effect because it reduces the contribution of variance due to:
- time-related factors.
- order effects.
- the effect of the treatment.
- individual differences.

**Question 15**

A repeated-measures experiment and a matched-subjects experiment each produce a t-statistic with df = 19. How many individuals participated in each study?
- 20 for repeated and 20 for matched.
- 20 for repeated and 40 for matched.
- 20 for repeated and 21 for matched.
- 20 for repeated and 21 for matched.

**Question 16**

A researcher reports an independent-measures t-statistic with degrees of freedom = 36. How many participants were in the entire study?
- 19
- 38
- 37
- 72
Transcribed Image Text:**Question 14** Compared to an independent-measures design, a repeated-measures study is more likely to find a statistically significant effect because it reduces the contribution of variance due to: - time-related factors. - order effects. - the effect of the treatment. - individual differences. **Question 15** A repeated-measures experiment and a matched-subjects experiment each produce a t-statistic with df = 19. How many individuals participated in each study? - 20 for repeated and 20 for matched. - 20 for repeated and 40 for matched. - 20 for repeated and 21 for matched. - 20 for repeated and 21 for matched. **Question 16** A researcher reports an independent-measures t-statistic with degrees of freedom = 36. How many participants were in the entire study? - 19 - 38 - 37 - 72
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