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Describe the primary limitation of factor analysis regarding the conceptual meaning of the statistical clusters it generates. Explain what actions a researcher must take to address this limitation once the mathematical analysis is complete.
Question: Describe the primary limitation of factor analysis regarding the conceptual meaning of the statistical clusters it generates. Explain what actions a researcher must take to address this limitation once the mathematical analysis is complete.
Sample answer: The primary limitation of factor analysis is that it only reveals the underlying statistical structure and correlations among variables; it does not automatically determine the conceptual meaning of the resulting clusters. To address this, the researcher must actively interpret the analytical results by applying meaningful conceptual labels to each factor and theorizing an explanation for the origin of that specific structural pattern.
Key points:
- Factor analysis is limited to revealing statistical structure and correlations.
- The conceptual meaning of resulting clusters is not automatically determined.
- Researchers must actively interpret the analytical results.
- Researchers must apply meaningful labels to each factor.
- Researchers must theorize an explanation for the origin of the specific structural pattern.
Rubric: Grading Rubric: - 2 points: Explains that factor analysis is limited to statistical structure/correlations and cannot automatically determine conceptual meaning. - 2 points: States that researchers must actively interpret the results. - 2 points: Mentions applying meaningful labels to the factors. - 2 points: Mentions theorizing an explanation for the origin of the structural pattern.
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Research Methods in Psychology - 4th American Edition @ KPU
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