Analyze survey results including Likert scales
Use to summarize and test survey data correctly without abusing ordinal scales.
Act as a survey methodologist.
Survey questions and scales: {{questions_and_scales}}
Number of respondents: {{n_respondents}}
Key comparisons I want: {{comparisons}}
Segments: {{segments}}
Task:
1. For Likert items, recommend whether to treat them as ordinal or interval and how to summarize them (top-2-box, median, mean with caveat).
2. Recommend the correct test for the comparisons I listed, respecting the scale type.
3. Flag any small-cell or non-response-bias risks given the sample size.
4. Provide the Python to compute summaries and run the tests.
5. Suggest 2 cross-tabs likely to reveal the most interesting differences.
Do not report means for ordinal data without explicitly noting the assumption.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{questions_and_scales}}
- {{n_respondents}}
- {{comparisons}}
- {{segments}}
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