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Computer Science
Data Science
Survey Creation and Analysis
1. Foundations of Survey Research
2. Survey Design and Planning
3. Questionnaire Development
4. Pre-testing and Validation
5. Data Collection Implementation
6. Data Processing and Preparation
7. Statistical Analysis of Survey Data
8. Advanced Survey Methodology
9. Reporting and Communication
Advanced Survey Methodology
Total Survey Error Framework
Error Sources
Coverage Error
Sampling Error
Nonresponse Error
Measurement Error
Processing Error
Error Reduction Strategies
Design Optimization
Quality Control
Post-survey Adjustments
Error Assessment
Bias Estimation
Variance Estimation
Mean Squared Error
Longitudinal Survey Design
Panel Surveys
Panel Recruitment
Panel Maintenance
Attrition Management
Trend Surveys
Repeated Cross-sections
Trend Analysis
Cohort Replacement
Cohort Studies
Cohort Definition
Follow-up Procedures
Cohort Effects
Cross-Cultural Survey Research
Instrument Adaptation
Translation Procedures
Cultural Adaptation
Equivalence Testing
Comparative Analysis
Cross-Cultural Validity
Measurement Invariance
Cultural Response Patterns
Implementation Challenges
Sampling Across Cultures
Mode Effects
Ethical Considerations
Emerging Technologies and Methods
Mobile Survey Technologies
Smartphone Surveys
App-Based Data Collection
Location-Based Sampling
Big Data Integration
Administrative Data Linkage
Social Media Data
Sensor Data
Adaptive Survey Design
Responsive Design
Real-time Optimization
Machine Learning Applications
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7. Statistical Analysis of Survey Data
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9. Reporting and Communication