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Based on this scenario, identify the reliability evaluation the researchers must perform, explain the timing of this evaluation in the data analysis workflow, and describe the statistics they can compute to conduct this evaluation.
Case context: A research group is conducting a study on student self-efficacy. They are using a newly developed multiple-response questionnaire to collect participant responses. Before running their primary hypotheses tests, the lead researcher requests that the team evaluate the questionnaire's items to verify that they are consistently measuring the same underlying concept.
Question: Based on this scenario, identify the reliability evaluation the researchers must perform, explain the timing of this evaluation in the data analysis workflow, and describe the statistics they can compute to conduct this evaluation.
Sample answer: The researchers must assess the internal consistency of their multiple-response measure. This assessment must be conducted during the preliminary analyses stage. To evaluate this consistency, they can compute statistics such as Cronbach's , Cohen's , or a split-half correlation.
Key points:
- Identify the need to assess internal consistency for the multiple-response measure.
- Specify that internal consistency assessment is done during preliminary analyses.
- List Cronbach's , Cohen's , or a split-half correlation as the appropriate statistics.
Rubric: To receive full credit, the response must demonstrate comprehension by identifying internal consistency as the evaluation type, placing it during the preliminary analyses stage, and listing Cronbach's , Cohen's , and split-half correlation as the statistical options.
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Research Methods in Psychology - 4th American Edition @ KPU
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