Sampling design, bias and error

What this note covers

1. Define whom the data represent
2. Choose a defensible selection method
3. Diagnose selection and response bias
4. Distinguish sampling error from mistakes
5. Evaluate a proposed survey redesign
6. Write an examined statistical conclusion
7. Worked survey design: frame, random selection and response audit
8. Worked data quality review: question wording, denominators and generalisation

8 sections · 10 key terms & formulas · 6 common mistakes