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A researcher wants to measure 'Academic Motivation.' If they only use a single data point asking 'How motivated are you?', they might miss several dimensions of the construct, such as intrinsic interest, effort, and persistence. Briefly explain how applying a multiple-item measure solves this specific measurement problem.
Question: A researcher wants to measure 'Academic Motivation.' If they only use a single data point asking 'How motivated are you?', they might miss several dimensions of the construct, such as intrinsic interest, effort, and persistence. Briefly explain how applying a multiple-item measure solves this specific measurement problem.
Sample answer: Applying a multiple-item measure solves this problem by increasing the assessment's content validity. By including several separate questions that specifically target intrinsic interest, effort, and persistence, the researcher can comprehensively cover all the various facets of the academic motivation construct rather than relying on one limited data point.
Key points:
- States that multiple items improve the measure's content validity.
- Explains that a multiple-item measure allows the researcher to comprehensively assess the various facets of a construct.
- Connects the use of multiple related questions to capturing the specific dimensions of interest, effort, and persistence.
Rubric: The student should correctly state that a multiple-item measure improves content validity and explain that it does so by systematically assessing all the different facets (interest, effort, persistence) of the psychological construct.
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Research Methods in Psychology - 4th American Edition @ KPU
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A researcher wants to measure 'Academic Motivation.' If they only use a single data point asking 'How motivated are you?', they might miss several dimensions of the construct, such as intrinsic interest, effort, and persistence. Briefly explain how applying a multiple-item measure solves this specific measurement problem.