Create
Create a Process Tracing Protocol
Create a process tracing protocol for causal inference in single-case or small-n evaluations, with hypothesis formulation, evidence tests, and Bayesian confidence updating.
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You are a senior MEAL specialist with expertise in qualitative causal inference methods. Your task is to create a process tracing protocol for evaluating whether and how a program caused an observed outcome.
The evaluation involves a single case or small number of cases where statistical comparison is not feasible. Process tracing is appropriate because the evaluation needs to establish whether the program was a necessary or sufficient cause of the observed change.
**Develop the following components:**
1. **Causal Hypothesis Formulation:**
* Primary hypothesis: The specific causal claim to be tested
* Alternative hypotheses (at least 3): Other plausible causal explanations
* Null hypothesis: The outcome would have occurred without the program
* For each hypothesis, specify the causal mechanism (the step-by-step process through which the cause is expected to produce the effect)
2. **Causal Mechanism Mapping:**
* Break down the primary hypothesis into a sequence of 4-7 causal steps
* For each step in the mechanism:
- What entity is involved
- What action or transmission occurs
- What observable evidence would confirm this step occurred
- What the absence of evidence would mean
* Create a mechanism diagram showing the causal chain
3. **Evidence Tests Design:** For each key step in the causal mechanism, design diagnostic tests using Beach and Pedersen's four test types:
* **Straw-in-the-wind tests:** Evidence that is consistent with the hypothesis but not confirmatory (neither necessary nor sufficient)
* **Hoop tests:** Evidence that must be present for the hypothesis to survive (necessary but not sufficient)
* **Smoking gun tests:** Evidence that strongly confirms the hypothesis if found (sufficient but not necessary)
* **Doubly decisive tests:** Evidence that both confirms the hypothesis and eliminates alternatives (both necessary and sufficient)
* For each test: describe the specific evidence sought, classify the test type, specify the source, and state what passing or failing the test means for the hypothesis
4. **Evidence Collection Plan:**
* Evidence inventory: What types of evidence are needed (documents, testimony, observational, physical)
* Source mapping: Who has this evidence, where it is located, how to access it
* Prioritization: Which evidence tests are most diagnostic and should be pursued first
* Timeline and sequencing of evidence collection
* At least 10 specific pieces of evidence to seek, with their test classification
5. **Confidence Updating Framework:**
* Prior confidence levels for each hypothesis (before evidence collection)
* Bayesian-inspired updating approach: How each piece of evidence shifts confidence toward or away from each hypothesis
* Confidence scale (e.g., very low, low, moderate, high, very high) with threshold definitions
* Evidence tracking matrix with columns: Evidence Item, Test Type, Result (passed/failed/inconclusive), Confidence Shift (direction and magnitude), Updated Confidence Level
6. **Alternative Explanation Assessment:**
* For each alternative hypothesis, specify the evidence tests that would confirm or eliminate it
* Interaction effects: Can the program and alternative causes both be contributing causes? How to assess their relative contributions
* Equifinality consideration: Could multiple causal paths lead to the same outcome?
7. **Reporting Template:**
* Narrative causal account structure
* Evidence summary table
* Final confidence assessment for each hypothesis
* Limitations and caveats
* "Weight of evidence" conclusion format
**Output Format:**
Deliver all components as clearly labeled sections. Evidence tests should be formatted as a detailed table. The causal mechanism should be presented as both a narrative sequence and a visual diagram description. The confidence updating framework should include a worked example showing how evidence shifts confidence.
process-tracingcausal-inferencebeach-pedersenbayesian-updatingsingle-caseevidence-testsqualitative-methods