Which statistical power is typically considered the minimum for statistical significance?

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Multiple Choice

Which statistical power is typically considered the minimum for statistical significance?

Power is the probability that a study will detect an effect if one truly exists, i.e., 1 minus the probability of a Type II error. In practice, researchers aim for at least 0.80 power, meaning there’s an 80% chance of finding a real effect with the planned design and assumptions. This threshold balances having enough sensitivity to detect effects with the practicalities of sample size and resources. Higher power (like 0.95) requires more data, while lower power increases the risk of missing real effects. So, 0.80 is the typical minimum level used.

Power is the probability that a study will detect an effect if one truly exists, i.e., 1 minus the probability of a Type II error. In practice, researchers aim for at least 0.80 power, meaning there’s an 80% chance of finding a real effect with the planned design and assumptions. This threshold balances having enough sensitivity to detect effects with the practicalities of sample size and resources. Higher power (like 0.95) requires more data, while lower power increases the risk of missing real effects. So, 0.80 is the typical minimum level used.

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