In a post hoc power analysis, if the power estimate were .60 for a result that was nonsignificant, a researcher would be able to conclude that:

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A post hoc power analysis calculates the probability of correctly rejecting a false null hypothesis (i.e., the power) after the study has been completed. If the power estimate is only .60, it means that there was a 40% chance of making a Type II error (incorrectly failing to reject a false null hypothesis) in the study. Therefore, the researcher would conclude that there was a high risk of committing a Type II error and the nonsignificant result was not necessarily incorrect.

In a Post Hoc Power Analysis, If the Power Estimate