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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
Data Processing and Preparation
Initial Data Review
Data Structure Verification
Variable Names
Data Types
Value Ranges
Completeness Assessment
Response Rates
Item Response Rates
Pattern Analysis
Data Cleaning Procedures
Error Detection
Out-of-Range Values
Logical Inconsistencies
Duplicate Records
Error Correction
Verification Procedures
Correction Methods
Documentation
Outlier Treatment
Outlier Identification
Investigation Procedures
Treatment Decisions
Missing Data Management
Missing Data Patterns
Missing Completely at Random
Missing at Random
Missing Not at Random
Missing Data Techniques
Deletion Methods
Listwise Deletion
Pairwise Deletion
Imputation Methods
Single Imputation
Multiple Imputation
Hot Deck Imputation
Variable Creation and Transformation
Composite Variables
Scale Construction
Index Development
Reliability Assessment
Recoding Procedures
Category Collapsing
Dummy Variable Creation
Standardization
Derived Variables
Calculated Fields
Conditional Variables
Time-based Variables
Survey Weighting
Weight Development
Design Weights
Non-response Adjustments
Post-stratification
Weight Application
Weight Calculation
Weight Trimming
Effective Sample Size
Weight Evaluation
Weight Distribution
Bias Assessment
Variance Impact
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5. Data Collection Implementation
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7. Statistical Analysis of Survey Data