Based on the researcher's method of data entry, explain why the team will encounter difficulties assessing the scale's internal consistency and identifying the potential entry typo. What should they have done differently to avoid these issues, and why?
Case context: A research team is studying academic anxiety using a new 8-item survey. To keep their dataset simple and easy to read, the lead researcher decides to manually add up the scores for the 8 items for each participant on paper, and then enter only this single total score column into the SPSS data file. After data entry is complete, the team realizes they need to run a Cronbach's alpha reliability test to check the scale's internal consistency, and they also suspect there might have been a typo in one of the participant's original survey responses.
Question: Based on the researcher's method of data entry, explain why the team will encounter difficulties assessing the scale's internal consistency and identifying the potential entry typo. What should they have done differently to avoid these issues, and why?
Sample answer: By entering only the manual total score, the team has lost the individual item responses. They cannot run a Cronbach's alpha internal consistency check because this requires separate item scores. They also cannot identify the typo because individual entries are hidden within the summary total. They should have entered each of the 8 items as separate columns (variables) in the data file, which would preserve individual responses for error-checking and allow the software to calculate reliability metrics and totals.
Key points:
- Manually entering only total scores hides individual responses, making error detection (typos) extremely difficult or impossible.
- Internal consistency analysis (like Cronbach's alpha) cannot be performed without access to individual item variables.
- The researcher should have entered each of the 8 items as a separate variable (column) in the data file.
- Calculating total scores should be performed by the statistical software rather than by hand before entry.
Rubric: Responses must explain that entering only a total score makes internal consistency testing and error detection impossible because the individual item data is missing. They must state that the researcher should have entered each item as a separate column and used the software to compute totals, explaining that this preserves individual data and allows software-based reliability analysis.
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Research Methods in Psychology - 4th American Edition @ KPU
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