All of the following factors increase the power of a study EXCEPT:

• A Larger effect size
• B Larger sample size
• C Higher alpha level
• D Higher beta level ✓

Explanation

Power equals 1 minus beta. Higher beta means lower power. Larger effect size, larger sample size, and higher alpha (such as 0.05 versus 0.01) all increase power. Power is the probability of correctly rejecting a false null hypothesis, and it increases when the test becomes more sensitive to detecting true differences.

Reference: Methods in Biostatistics, 7th ed.

High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP

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