theory-fit-assessment
CommunityChoose a theory that truly fits your study.
System Documentation
What problem does it solve?
This Skill prevents researchers from “labeling” a study with a well-known theory by systematically evaluating whether a selected theory genuinely matches a specific research question, including mechanisms, assumptions, analysis level, and empirical feasibility.
Core Features & Use Cases
- Theory-to-question fit assessment across six dimensions: evaluates problem-domain match, mechanism correspondence, epistemological compatibility, level-of-analysis alignment, empirical operationalizability, and China-context transferability.
- Decision support for single or multiple candidate theories: runs a full assessment per candidate and then enables cross-theory comparison to reach a clearer selection.
- Prevents common misuse of theories: flags category errors (domain mismatch), mechanism mismatches (right topic, wrong mechanism), and assumption clashes (e.g., epistemology or analysis-level conflicts).
Quick Start
Ask the agent: “I want to assess whether Bourdieu’s field theory fits my study question: ‘How do platform food delivery riders interpret and respond to labor management controls?’ The main concepts I plan to use are field, capitals, and habitus; my data are interview transcripts—should I use Bourdieu, and what are the risks or needed adjustments?”
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: theory-fit-assessment Download link: https://github.com/RenJW418/RenJW-Research_skill/archive/main.zip#theory-fit-assessment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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