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Explain why the researcher's conclusion is incomplete based on the standard methods of characterizing group differences in descriptive statistics. What additional metrics must the researcher compare or calculate, and why?
Case context: A researcher is studying the effects of two teaching methods on student test scores. After collecting the data, the researcher calculates the average score for each group and finds that Group A's mean is higher than Group B's. The researcher then concludes that they have fully described the statistical relationship between the two groups using descriptive statistics.
Question: Explain why the researcher's conclusion is incomplete based on the standard methods of characterizing group differences in descriptive statistics. What additional metrics must the researcher compare or calculate, and why?
Sample answer: The researcher's conclusion is incomplete because characterizing group differences in descriptive statistics requires more than just comparing means. The researcher must also compare the standard deviations of the groups to understand variability, and calculate the effect size using Cohen's to determine the magnitude of the difference. Without these, the statistical relationship is not fully characterized.
Key points:
- Comparing only means is insufficient for a full characterization.
- Standard deviations must be compared to account for group variability.
- Effect size must be calculated using Cohen's to describe the magnitude of the group differences.
Rubric: The response must explain that comparing means alone is insufficient. It must specify that comparing standard deviations and calculating the effect size via Cohen's are also required to fully characterize the difference between the groups.
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Research Methods in Psychology - 4th American Edition @ KPU
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