list-experiment
Guides design, estimation, and diagnostics for list experiments (item count technique, ICT). Use when (1) deciding whether a list experiment is warranted for a sensitive question, (2) designing the control list or choosing baseline items, (3) selecting between design variants (single, double, placebo), (4) choosing an estimator (difference-in-means, multivariate NLSreg/MLreg, combined), (5) testing the identifying assumptions (no design effect, no floor/ceiling), (6) assessing or diagnosing mechanical inflation or artificial deflation, or (7) interpreting list experiment results in relation to direct question estimates. Covers the full pipeline from pre-design sensitivity assessment through statistical inference and power analysis.
Installation and usage
Guides design, estimation, and diagnostics for list experiments (item count technique, ICT). Use when (1) deciding whether a list experiment is warranted for a sensitive question, (2) designing the control list or choosing baseline items, (3) selecting between design variants (single, double, placebo), (4) choosing an estimator (difference-in-means, multivariate NLSreg/MLreg, combined), (5) testing the identifying assumptions (no design effect, no floor/ceiling), (6) assessing or diagnosing mechanical inflation or artificial deflation, or (7) interpreting list experiment results in relation to direct question estimates. Covers the full pipeline from pre-design sensitivity assessment through statistical inference and power analysis.
์ค์น ํ ํฐ๋ฏธ๋์์ ๋ค์ ๋ช ๋ น์ ์คํํ์ฌ ์ด ์คํฌ์ ์ฌ์ฉํ ์ ์์ต๋๋ค:
skills use list-experiment