Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. How can these problems be eliminated or reduced with a repeated-measures study? Check all that apply. V In a repeated-measures study, both samples consist of the same individuals, eliminating systematic differences between the two samples, which bias the results. V In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal. V In a repeated-measures study, individual differences do not add to the variance of the scores because the same participants are used in all treatment conditions. V In a repeated-measures study, you eliminate extraneous changes to the individuals in the sample over time.
Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. How can these problems be eliminated or reduced with a repeated-measures study? Check all that apply. V In a repeated-measures study, both samples consist of the same individuals, eliminating systematic differences between the two samples, which bias the results. V In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal. V In a repeated-measures study, individual differences do not add to the variance of the scores because the same participants are used in all treatment conditions. V In a repeated-measures study, you eliminate extraneous changes to the individuals in the sample over time.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:**Understanding Repeated-Measures Studies**
Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. How can these problems be eliminated or reduced with a repeated-measures study? Consider the following points:
- **Consistent Samples**: In a repeated-measures study, both samples consist of the same individuals. This approach eliminates systematic differences between the two samples, which might otherwise bias the results.
- **No Need for Normal Distribution**: Conducting a repeated-measures study eliminates the necessity for the population distribution of difference scores to be normal.
- **Reduced Variance**: Individual differences do not add to the variance of the scores in a repeated-measures study, as the same participants are used across all treatment conditions.
- **Minimized Extraneous Changes**: Repeated-measures studies help in eliminating extraneous changes to the individuals in the sample over time, ensuring more reliable results.
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