survey-design-administration

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Develop survey instruments, implement sampling strategies, optimize response rates, and manage multi-mode data collection

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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 ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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