What are the effect sizes for Cohen's d?

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Multiple Choice

What are the effect sizes for Cohen's d?

Explanation:
Cohen's d expresses how large the difference between two groups is in standard deviation units, so you can compare effects across different measures and studies. It’s computed by taking the difference between the group means and dividing by the pooled standard deviation, giving a standardized sense of the effect. The conventional benchmarks are: - small around 0.2 - medium around 0.5 - large around 0.8 So the option that lists small 0.2, medium 0.5, and large 0.8 matches these standard thresholds. These values help interpret practical significance: a d of about 0.2 suggests a small, often subtle difference; about 0.5 indicates a moderate difference; around 0.8 signals a substantial difference. Keep in mind these are guidelines, and interpretation can vary by field and context; for small samples, a small-sample correction like Hedge's g can be used.

Cohen's d expresses how large the difference between two groups is in standard deviation units, so you can compare effects across different measures and studies. It’s computed by taking the difference between the group means and dividing by the pooled standard deviation, giving a standardized sense of the effect.

The conventional benchmarks are:

  • small around 0.2

  • medium around 0.5

  • large around 0.8

So the option that lists small 0.2, medium 0.5, and large 0.8 matches these standard thresholds. These values help interpret practical significance: a d of about 0.2 suggests a small, often subtle difference; about 0.5 indicates a moderate difference; around 0.8 signals a substantial difference. Keep in mind these are guidelines, and interpretation can vary by field and context; for small samples, a small-sample correction like Hedge's g can be used.

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