list-experimentlisted

# List Experiment Designer **Related skills:** Use alongside `hypothesis-building` (state π and a SESOI before design choices), `survey-design` (mode effects, question ordering, and pre-testing of control items), and `methods-reporting` (deposit list wording, randomization seed, `list` package version, and `ict.test` / `ict.hausman.test` / `ictreg()` output). ## Instructions ### 1. Pre-Design: Is a List Experiment Warranted? - **Assess sensitivity bias first:** Before committing to a list experiment, consult domain-specific evidence on sensitivity bias. Blair, Coppock, and Moor's (2020) meta-analysis of 30 years of list experiments shows that sensitivity biases are typically smaller than 10 percentage points. A list experiment is not automatically the right choice for any sensitive topic. - **Social reference theory:** Apply Blair, Coppock, and Moor's (2020) four-criterion test. Sensitivity bias is a meaningful problem only when (a) respondents have a specific social referent in mind, (b) they believe that referent can infer their answer, (c) they perceive the referent prefers a particular answer, and (d) they believe costs follow if the preferred response is not given. Evaluate all four before deciding — the cost channel (legal, physical, economic) is what separates an authoritarian setting from polite company, and dropping it is what makes a three-condition shorthand misleading. `survey-design` states the same test in the same terms. - **Precision cost (the one figure t