research-design
Design research studies with clear questions, appropriate methods, sampling logic, and success criteria before data collection begins. Use when scoping any primary or secondary research effort, choosing methods, or writing a research plan.
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- MIT
- 最近更新
- 2026-07-22
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- ★ 7
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01 前言 Front Matter
- name
- research-design
- description
- Design research studies with clear questions, appropriate methods, sampling logic, and success criteria before data collection begins. Use when scoping any primary or secondary research effort, choosing methods, or writing a research plan.
03 SKILL.md 正文
Research Design
Overview
Research design turns vague curiosity into a study that can actually answer a question. Method choice, sampling, and operational constraints are decided up front so results are interpretable.
When to Use
- Scoping a new research project
- Choosing between qualitative, quantitative, or mixed methods
- Writing research briefs and plans
- Aligning stakeholders on what “done” means
Core Practices
- Write precise research questions or hypotheses
- Match methods to the type of question (exploratory, descriptive, causal)
- Define population, sampling approach, and constraints
- Plan data collection instruments and analysis approach together
- State limitations and non-goals explicitly
- Set decision criteria: what finding would change a choice?
Principles
- A beautiful method answering the wrong question is waste
- Feasibility is part of design, not an afterthought
- Mixed methods need a deliberate integration plan
- Pre-registration of analysis intent reduces motivated reasoning
Verification
- [ ] Research questions are specific and answerable
- [ ] Method choice is justified against the questions
- [ ] Sampling and limitations are explicit
- [ ] Stakeholders agree on how findings will be used
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