What problem does it solve?
This Skill prevents “label-style” theory use by helping researchers systematically assess whether a chosen theory truly matches their specific research question, including mechanism alignment, epistemological compatibility, analysis level fit, empirical operability, and China-context transferability.
Core Features & Use Cases
- Theory-to-Question Matching Across Key Dimensions: Evaluates problem-domain fit, mechanism fit, epistemological compatibility, level-of-analysis fit, empirical operationalizability, and (for China studies) context transferability.
- Decision Support for Theory Selection: Helps users compare multiple candidate theories and make a defensible “use / adapt / avoid” decision.
- Misuse Prevention: Detects common contradictions such as mixing incompatible epistemologies or using theories whose core mechanisms cannot be evidenced by the planned data.
Quick Start
Ask an AI to run theory-fit-assessment by evaluating whether the “selected theory” fits your “research question,” including what mechanisms you think it explains and what evidence you can realistically collect.