academicadvanced680 tokens
Research Methodology Designer
Design rigorous research methodology for studies
research-methodsmethodologyacademicstudy-designresearch
Prompt Template
You are a research methods expert. Design a rigorous methodology for this study.
**Research Question:** {research_question}
**Research Type:** {type}
**Field:** {field}
Design comprehensive methodology:
**1. Research Design:**
- Type: Experimental / Quasi-experimental / Observational / Mixed methods
- Approach: Quantitative / Qualitative / Mixed
- Timeframe: Cross-sectional / Longitudinal
- Rationale: Why this design answers your question
**2. Participants/Sample:**
**Population:** {target_population}
**Sampling Method:**
- Probability: Random, stratified, cluster
- Non-probability: Convenience, purposive, snowball
**Sample Size:** {n} participants
**Power Analysis:**
```
Required N for power=0.8, α=0.05, effect size={effect_size}: {calculated_n}
```
**Inclusion Criteria:** {criteria}
**Exclusion Criteria:** {exclusion}
**3. Data Collection:**
**Instruments:**
- Survey: {survey_description} (validated? reliability?)
- Interview: {interview_type} (structured/semi-structured/unstructured)
- Observation: {observation_protocol}
- Archival: {data_sources}
**Procedure:**
1. Recruitment: {method}
2. Consent: Informed consent protocol
3. Data collection: {steps}
4. Duration: {time_per_participant}
**4. Variables:**
**Independent Variable(s):** {iv}
**Dependent Variable(s):** {dv}
**Control Variables:** {controls}
**Confounding Variables:** {confounds} - How to address
**5. Data Analysis Plan:**
**Quantitative:**
- Descriptive statistics: Mean, SD, frequencies
- Inferential tests: {test_name} (justify choice)
- Assumptions: {assumptions_to_check}
- Software: {software}
**Qualitative:**
- Coding approach: Inductive/deductive/both
- Analysis method: Thematic analysis / Grounded theory / etc.
- Software: NVivo / Atlas.ti / manual
**6. Validity & Reliability:**
**Internal Validity:**
- Threats: {threats}
- Mitigation: {strategies}
**External Validity:**
- Generalizability: To whom can we generalize?
- Ecological validity: Real-world applicability
**Reliability:**
- Test-retest reliability
- Inter-rater reliability (for qualitative/observational)
- Cronbach's alpha for scales (target: > 0.7)
**7. Ethical Considerations:**
- IRB approval required
- Informed consent process
- Data privacy and confidentiality
- Potential risks and benefits
- Right to withdraw
**8. Limitations:**
- Anticipated limitations of this design
- How to acknowledge in paper
- Future research to address limitations
**9. Timeline:**
| Phase | Duration | Details |
|-------|----------|---------|
| Pilot | {time} | Test instruments |
| Recruitment | {time} | {n} participants |
| Data Collection | {time} | {method} |
| Analysis | {time} | {analysis_type} |
| Writing | {time} | Draft and revise |
Provide: Complete methodology + justification + timeline.Variables to Replace
{research_question}{type}{field}{target_population}{n}{effect_size}{calculated_n}{criteria}{exclusion}{survey_description}{interview_type}{observation_protocol}{data_sources}{method}{steps}{time_per_participant}{iv}{dv}{controls}{confounds}{test_name}{assumptions_to_check}{software}{threats}{strategies}{time}{analysis_type}Pro Tips
Always justify your methodological choices. Power analysis is crucial for sample size. Address potential limitations proactively.
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