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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
Survey Design and Planning
Research Objectives and Questions
Formulating Research Questions
Characteristics of Good Research Questions
Question Hierarchy
Primary and Secondary Questions
Developing Hypotheses
Null Hypotheses
Alternative Hypotheses
Directional and Non-directional Hypotheses
Operationalizing Concepts
Conceptual Definitions
Operational Definitions
Measurement Indicators
Target Population Definition
Population Specification
Inclusion Criteria
Exclusion Criteria
Geographic Boundaries
Temporal Boundaries
Subgroup Identification
Demographic Subgroups
Behavioral Subgroups
Special Interest Groups
Survey Mode Selection
Self-Administered Surveys
Online Surveys
Web-Based Platforms
Mobile-Optimized Surveys
Email Surveys
Social Media Surveys
Mail Surveys
Paper Questionnaire Design
Envelope Design
Mailing Procedures
Return Procedures
Interviewer-Administered Surveys
Telephone Surveys
Computer-Assisted Telephone Interviewing
Random Digit Dialing
Cell Phone Surveys
Face-to-Face Interviews
In-Person Interviews
Computer-Assisted Personal Interviewing
Intercept Surveys
Mixed-Mode Approaches
Sequential Mixed-Mode
Concurrent Mixed-Mode
Mode Effects
Data Comparability
Mode Comparison Factors
Cost Considerations
Response Rates
Data Quality
Coverage
Timeliness
Sampling Design
Probability Sampling Methods
Simple Random Sampling
Random Number Generation
Sampling Without Replacement
Sampling With Replacement
Systematic Sampling
Sampling Interval Calculation
Random Start Selection
Periodic Patterns
Stratified Sampling
Stratification Variables
Proportional Allocation
Optimal Allocation
Disproportional Allocation
Cluster Sampling
Single-Stage Cluster Sampling
Multi-Stage Cluster Sampling
Primary Sampling Units
Secondary Sampling Units
Non-Probability Sampling Methods
Convenience Sampling
Quota Sampling
Purposive Sampling
Snowball Sampling
Volunteer Sampling
Sample Size Determination
Statistical Power
Effect Size
Significance Level
Confidence Level
Population Variance
Practical Constraints
Sampling Error and Precision
Standard Error
Margin of Error
Confidence Intervals
Design Effects
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1. Foundations of Survey Research
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3. Questionnaire Development