Short Answer

Evaluate the statistical trade-off when a researcher chooses to analyze a within-subjects dataset using a one-way ANOVA instead of a repeated-measures ANOVA. What is the consequence of this choice on the sensitivity of the hypothesis test?

Question: Evaluate the statistical trade-off when a researcher chooses to analyze a within-subjects dataset using a one-way ANOVA instead of a repeated-measures ANOVA. What is the consequence of this choice on the sensitivity of the hypothesis test?

Sample answer: Analyzing a within-subjects dataset with a one-way ANOVA is inappropriate because it fails to isolate stable individual differences. This choice leaves these differences to inflate the within-groups variance (MSWMS_W), resulting in a lower FF-ratio and a less sensitive hypothesis test compared to a repeated-measures ANOVA, which would have subtracted those differences.

Key points:

  • Evaluate that using a one-way ANOVA on within-subjects data prevents the subtraction of stable individual differences.
  • Explain that the unsubtracted stable individual differences inflate the within-groups variance (MSWMS_W).
  • Conclude that an inflated MSWMS_W decreases the FF-ratio, making the hypothesis test less sensitive.

Rubric: Answers must evaluate that using a one-way ANOVA on within-subjects data fails to subtract stable individual differences from MSWMS_W, leading to an inflated MSWMS_W, a lower FF-ratio, and a less sensitive test.

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Updated 2026-05-26

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Research Methods in Psychology - 4th American Edition @ KPU

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