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.Question 18From many prior studies, a researcher expects an effect size of d = .57 for a new study, but a new colleague has suggested that an effect size of d = .42 is more reasonable given the change in the research design. If the effect size does decrease, then how would the expected power of the study change?1 pointPower would decrease.Type I errors would increase.Power would increase.β would decrease.

Question

.Question 18From many prior studies, a researcher expects an effect size of d = .57 for a new study, but a new colleague has suggested that an effect size of d = .42 is more reasonable given the change in the research design. If the effect size does decrease, then how would the expected power of the study change?1 pointPower would decrease.Type I errors would increase.Power would increase.β would decrease.

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Solution

The power of a study is the probability that it will detect an effect when there is an effect to be detected. If the effect size decreases, the power of the study would also decrease. This is because a smaller effect size means that the difference between the groups being studied is smaller, making it harder to detect. Therefore, the correct answer is "Power would decrease."

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A researcher conducts a study with a large sample size and finds a statistically significant result. However, the effect size is very small. What is the implication of this finding?  A. The study has high statistical power  B. The results are practically significant  C. The findings may not have real-world importance  D. The study has a Type II Error

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Effect size values can help a researcher or reader determine

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