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list-experiment

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Plan, run, and diagnose list experiments.

Data & Analytics#r#statistical-methods#power-analysis#list-experiment#sensitive-topics#design-diagnostics#prevalence-estimation
Authorscdenney
Version1.0.0
Installs0

System Documentation

What problem does it solve?

List experiments enable researchers to estimate the prevalence of sensitive attitudes without directly asking respondents, reducing direct-response bias while introducing nonstrategic misreporting that must be diagnosed and corrected.

Core Features & Use Cases

  • Guidance on when a list experiment is warranted, pre-design assessments, and how to choose between conventional, placebo, and mixed control lists.
  • Design variants: single list, double list (DLE) with carryover diagnostics, pipe-in placebo.
  • Estimators and diagnostics: Difference-in-means, NLSreg, MLreg, combined estimator, NFC/NDE tests, placebo diagnostics, and simulation-based power analysis.
  • Integration with the R package list and its diagnostic tools for estimation and testing.

Quick Start

Design a three-control-item list with one sensitive item in R using the list package and run a basic prevalence estimate.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: list-experiment
Download link: https://github.com/scdenney/open-science-skills/archive/main.zip#list-experiment

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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