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