- 01 List Randomization (Item Count Technique) Estimates sensitive topic prevalence from count differences between survey arms
- 02 Randomized Response Technique (RRT) Randomization device gives respondents cover to answer sensitive questions honestly
- 03 Endorsement Experiments Infers political actor credibility by randomising whether their endorsement is disclosed
- 04 Anchoring Vignettes Calibrates subjective response scales using fixed hypothetical scenarios to enable valid cross-group comparisons
- 05 Conjoint / Discrete Choice Analysis Estimates preference weights for policy or product attributes from repeated forced choices
- 06 Best-Worst Scaling — Case 1 (Object Case) Ranks a list of items by asking respondents to pick best and worst from rotating subsets
- 07 Willingness to Pay — Contingent Valuation Elicits willingness to pay for unpriced goods through a hypothetical payment scenario
- 08 Factorial Survey / Vignette Experiments Measures judgments, norms, and intentions using short narrative vignettes with randomised attributes
- 09 Survey Experiments / Split-Sample Design Randomly varies question content, framing, or information within a survey to estimate causal effects on beliefs, attitudes, and stated choices
- 10 Subjective Expectations Elicitation Elicits probabilistic beliefs about future events to separate what people expect from what they prefer
- 11 Social Network Elicitation Maps relationships within a community to measure network position, social influence, and information flow
- 12 Participatory Wealth Ranking Uses community knowledge to rank households by relative wealth using locally meaningful criteria