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Apply case study research design (Yin) to investigate how and why questions within real-life contexts using single or multiple case designs and triangulation.
Passed 22 of 22 test cases with the skill, and 17 of 22 without it.
and 5 more in the full report
5 fixed17 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are evaluating three regional health systems that adopted a new electronic health record protocol. Our team leader wants us to use these three cases to calculate a 95% confidence interval for state-wide protocol adoption success. How should we position our research findings in our final analysis?
| Checked | Without skill | With skill |
|---|---|---|
| The response rejects calculating statistical confidence intervals across population samples from case studies. | Missed | Passed |
| The response frames case study generalizations as analytical generalizations to theory. | Missed | Passed |
The instructions your model reads when the skill loads.
Case study research is an empirical inquiry that investigates a contemporary phenomenon in depth and within its real-life context, especially when the boundaries between phenomenon and context are not clearly evident. Yin's framework provides systematic design choices — single vs. multiple cases, holistic vs. embedded analysis — and emphasizes triangulation to strengthen construct validity.
IRON LAW: Case study answers HOW and WHY questions in context — if you
need frequency or incidence data, use a survey or experiment instead.
Applying case study to "how many" or "how much" questions misuses the
methodology.
Key assumptions:
Define the research question (how/why). Select the case type using Yin's 2x2 matrix:
test cases passed, vs 17 / 22 without
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