a5c-ai Survey Design and Administration Skill
Develop survey instruments, implement sampling strategies, and manage data collection for population-based research.
Overview
The Survey Design and Administration skill enables development of survey instruments, implementation of sampling strategies, optimization of response rates, and management of multi-mode data collection for rigorous population-based social science research.
Capabilities
Questionnaire Design
- Question construction
- Response scale design
- Question ordering
- Skip logic implementation
- Cognitive testing
Sampling Methods
- Probability sampling
- Stratified sampling
- Cluster sampling
- Multi-stage sampling
- Non-probability alternatives
Response Optimization
- Contact strategies
- Incentive design
- Follow-up procedures
- Non-response analysis
- Weighting adjustments
Multi-Mode Administration
- Web survey design
- Phone survey protocols
- Mail survey procedures
- Mixed-mode strategies
- Mode effect assessment
Quality Control
- Data cleaning
- Response validation
- Item non-response handling
- Bias assessment
- Documentation standards
Usage Guidelines
When to Use
- Collecting population data
- Measuring attitudes/behaviors
- Conducting needs assessments
- Evaluating programs
- Testing hypotheses
Best Practices
- Pilot test instruments
- Document procedures
- Monitor response rates
- Address non-response
- Archive data properly
Integration Points
- Psychometric Assessment skill
- Quantitative Methods skill
- Research Ethics and IRB skill
- Mixed Methods Integration skill
References
- Survey Research Design process
- Survey Administration process
- Scale Development and Validation process
- Survey Research Director agent