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