| name | deductive-hypothesis-generation |
| description | Strategy: deduce hypotheses from existing theory |
| version | 1.0.0 |
| category | hypothesis-formation |
| type | strategy |
| campaign | hypothesis-formulation |
| tactics | ["theory-mechanism-extraction","falsifiability-audit"] |
| sops | ["theory-identification","mechanism-extraction","variable-identification","relationship-specification","boundary-condition-specification","falsifiability-check","operationalization"] |
| dependencies | {"tactics":["falsifiability-audit","theory-mechanism-extraction"]} |
Deductive Hypothesis Generation
Deduce hypotheses from existing theory: in domains with mature theory, transform theoretical propositions into specific testable predictions through an explicit reasoning chain.
When to Use
- The domain has mature foundational theory (named theories, formal models, or accepted mechanisms)
- The research gap manifests as "a discrepancy between theoretical prediction and real-world observation"
- The goal is to test, extend, or delimit the scope of an existing theory
- Highly defensible hypotheses are needed (reviewers will press for theoretical justification)
Not applicable: emerging domains rich in data but lacking theory → use inductive-hypothesis-generation instead.
Thinking Framework
Theory → Mechanism → Variable Relationship → Testable Prediction
The core logic of deduction:
- Theory: identify the foundational theory underpinning the research question (named theory, formal model)
- Mechanism: extract the causal mechanism from the theory (the intermediate process by which "X affects Y through Z")
- Variable Relationship: translate the mechanism into directional relationships among variables (positive/negative/moderating/mediating)
- Testable Prediction: concretize the variable relationship into an observable prediction under specific conditions
Every step must be traceable: each prediction traces back to a mechanism, each mechanism traces back to a theory. This is what distinguishes a deductive hypothesis from a guess.
Common pitfalls:
- Theory citation that stays superficial (naming only, no specific propositions) → you must cite the theory's core propositions
- Skipping the mechanism and jumping straight from theory to prediction → the mechanism is the key node of the deductive chain and cannot be omitted
- Hypothesis scope too broad ("in all contexts") → deduction must state boundary conditions
Budget Gate
| Tier | Theory coverage | Mechanism extraction | Hypothesis output | Falsifiability |
|---|
| S | ≥2 named theories | ≥3 causal mechanisms | ≥2 structured hypotheses | 1 falsification scenario per hypothesis |
| M | ≥3 named theories | ≥5 causal mechanisms | ≥3 structured hypotheses | ≥1 scenario + boundary conditions per hypothesis |