Useful Links
Statistics
Survey Research
1. Introduction to Survey Research
2. Survey Design and Planning
3. Sampling Theory and Methods
4. Questionnaire and Instrument Design
5. Modes of Data Collection
6. Survey Implementation and Fieldwork
7. Data Processing and Management
8. Survey Data Analysis
9. Total Survey Error Framework
10. Ethical Considerations in Survey Research
11. Reporting and Disseminating Survey Results
Data Processing and Management
Data Entry and Verification
Manual Data Entry
Automated Data Capture
Optical Character Recognition (OCR)
Double Entry Verification
Range and Logic Checks
Coding Survey Data
Coding Open-Ended Responses
Developing Coding Schemes
Inter-Coder Reliability
Training Coders
Computer-Assisted Coding
Creating a Codebook
Variable Naming Conventions
Value Labels and Definitions
Missing Data Codes
Data Cleaning and Editing
Checking for Inconsistencies
Identifying Outliers
Handling Missing Data
Listwise Deletion
Pairwise Deletion
Imputation Methods
Mean Imputation
Median Imputation
Regression Imputation
Multiple Imputation
Hot Deck Imputation
Data Validation Rules
Creating and Documenting Datasets
Data File Formats
Metadata Documentation
Version Control
Data Archiving
Backup Procedures
Weighting Survey Data
Design Weights
Post-Stratification Weights
Non-response Weights
Raking and Calibration
Calculating and Applying Weights
Weight Trimming
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6. Survey Implementation and Fieldwork
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8. Survey Data Analysis