Short Answer

A researcher has designed a between-subjects experiment to test a new therapy but realizes the design has inadequate statistical power. If recruiting additional participants is not feasible, what specific change can the researcher make to the experimental design to reduce noise in the data, and how does this affect statistical power?

Question: A researcher has designed a between-subjects experiment to test a new therapy but realizes the design has inadequate statistical power. If recruiting additional participants is not feasible, what specific change can the researcher make to the experimental design to reduce noise in the data, and how does this affect statistical power?

Sample answer: The researcher can change the experimental design from a between-subjects design to a within-subjects design. This change helps control extraneous variables and reduces data noise, which strengthens the observed relationship and thereby increases the statistical power.

Key points:

  • Switch from a between-subjects design to a within-subjects design.
  • Control extraneous variables and reduce noise in the data.
  • Increase statistical power by strengthening the relationship.

Rubric: The answer must state that the researcher should switch from a between-subjects design to a within-subjects design, and explain that doing so controls extraneous variables / reduces noise to increase statistical power.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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