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Exercise 24 Describing the Elements of Power Analysis, Power, Effect Size, Alpha, and Sample Size $6.49
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  3. American Military University
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  5. MATH 302

Exam (elaborations)

Exercise 24 Describing the Elements of Power Analysis, Power, Effect Size, Alpha, and Sample Size
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Exercise 24 Describing the Elements of Power Analysis, Power, Effect Size, Alpha, and Sample Size

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  • September 9, 2024
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  • 2024/2025
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Exercise 24: Describing the Elements of Power Analysis:

Power, Effect Size, Alpha, and Sample Size

Questions to Be Graded

1. 1. When is the optimal time to perform a power analysis—before the beginning of the

study or after the study ends? Provide a rationale for your answer.




The optimal time to perform a power analysis is prior to the study’s beginning so that the

researcher can include an adequate number of participants, because using an inadequate

number of participants puts the study at risk for Type II error.

1. 2. Define effect size.

Effect size: It is a simple way of quantifying the difference between two groups that has

many advantages over the use of tests of statistical significance alone.




1. 3. A researcher is planning to compute a Pearson r. What effect size measure should be

used in the power analysis? Provide a rationale for your answer.




The effect size measure that should be used in the power analysis is the Pearson correlation

coefficient (r) because it serves as its own effect size, as does the odds ratio.

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