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Evaluate the researcher's study design and conclusion. Explain why the causal conclusion is not justified based on the research design, identify potential confounding variables, and evaluate the decision to select only the extreme scorers rather than utilizing the full continuum.
Case context: A developmental psychologist investigates how Agreeableness (a continuum ranging from cooperative and trusting to critical and suspicious) relates to peer relationships. He measures Agreeableness in a sample of middle-school students using a self-report survey. He selects the 5 students with the highest Agreeableness scores and the 5 students with the lowest scores. Over the next week, he observes them on the playground and counts their cooperative interactions. The high-agreeableness group averages 8 cooperative interactions, while the low-agreeableness group averages 2. The researcher concludes: 'High Agreeableness causally promotes cooperative interactions among children on the playground.'
Question: Evaluate the researcher's study design and conclusion. Explain why the causal conclusion is not justified based on the research design, identify potential confounding variables, and evaluate the decision to select only the extreme scorers rather than utilizing the full continuum.
Sample answer: The causal conclusion is unjustified because the study uses a correlational/observational design with a measured subject variable (Agreeableness), not an experimental design with a manipulated independent variable; therefore, we cannot establish direction of causality or rule out third-variable explanations. Confounding variables, such as the children's baseline social anxiety or the specific play activities they chose, could explain the difference in cooperative interactions. Furthermore, selecting only the extreme scorers (top and bottom 5) reduces statistical power, discards valuable data from the rest of the sample, and limits the generalizability of the findings across the entire continuum of Agreeableness.
Key points:
- Distinction between correlational designs and experimental designs, noting that subject variables like Agreeableness cannot be manipulated to establish causation.
- Identification of specific confounding variables (e.g., social anxiety, activity choice) that could influence cooperative interactions.
- Evaluation of the extreme groups design, highlighting the loss of statistical power and generalizability by omitting middle-range scorers on the continuum.
Rubric: The response must evaluate: 1) the correlation-versus-causation error in claiming a causal link from measured personality traits, 2) the potential for third-variable confounding, and 3) the methodological limitation of dichotomizing or selecting extremes from a continuous trait continuum.
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Research Methods in Psychology - 4th American Edition @ KPU
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