Survey methods
Undergraduate · Statistics
Syllabus focus
Standard syllabus · STEM / applied
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Topics typically covered
Standard syllabus
Survey design
- Survey modes: web, phone, mail, and mixed-mode
- Question wording and response bias
- Scale construction and index validation
- Pilot testing and cognitive interviewing
- Sampling frames and coverage error
Field operations and quality
- Interviewer training and supervision
- Nonresponse follow-up strategies
- Data editing and imputation (introduction)
- Total survey error model
- Ethical guidelines for human subjects research
Analysis of survey data
- Design-based estimation with weights
- Variance estimation for complex designs
- Analyzing attitudinal and Likert-scale data
- Trend analysis across survey waves
STEM / applied
Applied survey research
- Designing and fielding a class survey project
- Using Qualtrics, REDCap, or similar platforms
- Weighting and analyzing GSS or Pew-style datasets
- Reporting results for policy briefs
- Mode effects and measurement equivalence
- Open science and survey data sharing
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Notes
Complements sampling methods with practical survey research skills. Common in sociology, political science, and public policy programs.