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Based on the widely accepted guideline for adequate statistical power, how should the team interpret this value? Explain what this implies about the likelihood of successfully detecting the effect and rejecting the null hypothesis if the study technique is truly effective in the population.

Case context: A research team is planning a study to investigate the effects of a new study technique on exam scores. Before they begin collecting data, they perform a power analysis and determine that their current study design has a statistical power of .80.80.

Question: Based on the widely accepted guideline for adequate statistical power, how should the team interpret this value? Explain what this implies about the likelihood of successfully detecting the effect and rejecting the null hypothesis if the study technique is truly effective in the population.

Sample answer: The research team should interpret a statistical power of .80.80 as meeting the widely accepted guideline for an adequate level of power. This implies that if the study technique is truly effective in the population, their design has an 80%80\% chance of successfully detecting this effect and rejecting the null hypothesis.

Key points:

  • A power of .80.80 satisfies the standard guideline for adequate statistical power in psychology.
  • It means there is an 80%80\% probability of detecting a true effect or relationship in the population.
  • It indicates an 80%80\% chance of successfully rejecting the null hypothesis.

Rubric: To earn full credit, the response must: 1. Identify .80.80 as meeting the guideline for adequate statistical power. 2. Comprehend that this translates to an 80%80\% chance of detecting the true effect in the population. 3. Explain that this means there is an 80%80\% chance of rejecting the null hypothesis under these conditions.

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Updated 2026-05-26

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KPU

Research Methods in Psychology - 4th American Edition @ KPU

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