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A clinical psychologist is investigating the linear relationship between patient treatment attendance (number of sessions) and symptom severity ratings. Explain how the researcher would apply Pearson's to evaluate the connection between these two quantitative variables as an effect size in their population.
Question: A clinical psychologist is investigating the linear relationship between patient treatment attendance (number of sessions) and symptom severity ratings. Explain how the researcher would apply Pearson's to evaluate the connection between these two quantitative variables as an effect size in their population.
Sample answer: The researcher would calculate Pearson's , which will fall between and . They would apply this coefficient as an effect size measure, where a value further from zero indicates a stronger, more predictable connection between attendance and symptom severity in the population, regardless of whether the correlation direction is positive or negative.
Key points:
- Applies Pearson's to measure the linear relationship between attendance and symptom severity.
- States the coefficient will be bounded between and .
- Uses the coefficient as an effect size measure to evaluate how strongly the variables are connected in the population.
Feedback: To receive full credit, the answer must apply Pearson's to the scenario, mention its range from to , and explain that the distance from zero is used as an effect size to evaluate the strength of connection in the population.
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Research Methods in Psychology - 4th American Edition @ KPU
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A clinical psychologist is investigating the linear relationship between patient treatment attendance (number of sessions) and symptom severity ratings. Explain how the researcher would apply Pearson's to evaluate the connection between these two quantitative variables as an effect size in their population.