According to Cohen's guidelines for the effect size measure d, which of the following would be an example of a medium effect size?

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BlackTom AI · Accepted Answer

When evaluating Cohen's guidelines for effect size d, it's helpful to recall the commonly used benchmarks for interpretation. 
Option 1: d = 0.10. This value is typically considered a small effect size, indicating a very modest difference between groups. It would not be categorized as medium according to Cohen's standards.
Option 2: d = 0.50. This value aligns with the conventional midpoint that Cohen labeled as a medium effect size, reflecting a moderate difference between groups. It fits the target category we're asked about.
Option 3: d = 2.50. Such a large value signals an extremely large effect, far exceeding the typical large threshold and not representative of a medium effect; it would be described as a very large effect in most guidelines.
Option 4: d = 0.99. This is close to or just above the conventional benchmark for a large effect, depending on the exact interpretation used, and would not be classified as medium under standard Cohen conventions.

In summary, the choice with the value around 0.50 sits at the median of Cohen's small-to-large scale, matching the definition of a medium effect size, while the other options correspond to small, very large, or large categories respectively.

According to Cohen's guidelines for the effect size measure d, which of the following would be an example of a medium effect size?

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A sample is selected from a population with μ = 46, and a treatment is administered to the sample. After treatment, the sample mean is M = 48 with a sample variance of s2 = 16. Based on this information, what is the value of Cohen’s d?

Two samples from the same population both have M = 84 and s2 = 20, but one sample has n = 10 and the other has n = 20 scores. Both samples are used to evaluate a hypothesis stating that μ = 80 and to compute Cohen’s d. How will the outcomes for the two samples compare?

Calculate Cohen's D: Sample Size Group 1 = 19 Sample Size Group 2 = 16 Standard Deviation Group 1 = 4.2 Standard Deviation Group 2 = 5.5 Sample Mean Group 1 = 41.9 Sample Mean Group 2 = 43.5

Calculate Cohen's D: Sample Mean Difference Score (time 1 - time 2) = 1.7 Standard Deviation Difference Scores = 3.2 Sample Size = 39

Please consider the following information: Sample mean (M) = 50 Population mean (µ) = µM = 47 Sample standard deviation (s) = 4 Sample size (N) = 25 Based on this information, compute the effect size measure, Cohen's d. Please include at least two decimal places when reporting your answer.

Consider the following information used for a one-sample t test: N = 100, µ = 30, s = 20, and M = 33. Based on this information, what is the measure of effect size, Cohen's d, rounded to two decimal places?

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According to Cohen's guidelines for the effect size measure d, which of the following would be an example of a medium effect size?

View Explanation

Log in for full answers

Similar Questions

​A sample is selected from a population with μ = 46, and a treatment is administered to the sample. After treatment, the sample mean is M = 48 with a sample variance of s2 = 16. Based on this information, what is the value of Cohen’s d?

​Two samples from the same population both have M = 84 and s2 = 20, but one sample has n = 10 and the other has n = 20 scores. Both samples are used to evaluate a hypothesis stating that μ = 80 and to compute Cohen’s d. How will the outcomes for the two samples compare?

Calculate Cohen's D: Sample Size Group 1 = 19 Sample Size Group 2 = 16 Standard Deviation Group 1 = 4.2 Standard Deviation Group 2 = 5.5 Sample Mean Group 1 = 41.9 Sample Mean Group 2 = 43.5

Calculate Cohen's D: Sample Mean Difference Score (time 1 - time 2) = 1.7 Standard Deviation Difference Scores = 3.2 Sample Size = 39

Please consider the following information: Sample mean (M) = 50 Population mean (µ) = µM = 47 Sample standard deviation (s) = 4 Sample size (N) = 25 Based on this information, compute the effect size measure, Cohen's d. Please include at least two decimal places when reporting your answer.

Consider the following information used for a one-sample t test: N = 100, µ = 30, s = 20, and M = 33. Based on this information, what is the measure of effect size, Cohen's d, rounded to two decimal places?

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Making Your Study Simpler

A sample is selected from a population with μ = 46, and a treatment is administered to the sample. After treatment, the sample mean is M = 48 with a sample variance of s2 = 16. Based on this information, what is the value of Cohen’s d?

Two samples from the same population both have M = 84 and s2 = 20, but one sample has n = 10 and the other has n = 20 scores. Both samples are used to evaluate a hypothesis stating that μ = 80 and to compute Cohen’s d. How will the outcomes for the two samples compare?