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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
4.
Pre-testing and Validation
4.1.
Pre-testing Methods
4.1.1.
Expert Review
4.1.1.1.
Content Expert Review
4.1.1.2.
Methodological Expert Review
4.1.1.3.
Statistical Review
4.1.2.
Cognitive Testing
4.1.2.1.
Think-Aloud Interviews
4.1.2.2.
Cognitive Probing
4.1.2.3.
Response Latency Testing
4.1.3.
Focus Groups
4.1.3.1.
Question Discussion
4.1.3.2.
Survey Flow Evaluation
4.1.3.3.
Cultural Appropriateness
4.1.4.
Pilot Testing
4.1.4.1.
Small-Scale Implementation
4.1.4.2.
Full Survey Simulation
4.1.4.3.
Technical Testing
4.2.
Pre-test Analysis
4.2.1.
Question Performance Evaluation
4.2.1.1.
Response Distributions
4.2.1.2.
Missing Data Patterns
4.2.1.3.
Response Time Analysis
4.2.2.
Comprehension Assessment
4.2.2.1.
Misinterpretation Identification
4.2.2.2.
Clarification Needs
4.2.2.3.
Instruction Effectiveness
4.2.3.
Technical Performance
4.2.3.1.
Skip Logic Testing
4.2.3.2.
Data Quality Checks
4.2.3.3.
System Performance
4.3.
Instrument Refinement
4.3.1.
Question Revision
4.3.1.1.
Wording Changes
4.3.1.2.
Format Modifications
4.3.1.3.
Response Option Adjustments
4.3.2.
Structure Modifications
4.3.2.1.
Sequence Changes
4.3.2.2.
Grouping Adjustments
4.3.2.3.
Length Optimization
4.3.3.
Final Validation
4.3.3.1.
Reliability Testing
4.3.3.2.
Validity Assessment
4.3.3.3.
Final Expert Review
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3. Questionnaire Development
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5. Data Collection Implementation