https://handbook.gradientmetrics.com/products/list-experiments/ Recent content in List Experiments on Handbook Hugo -- gohugo.io https://handbook.gradientmetrics.com/products/list-experiments/what-is-list-experiments/ Mon, 01 Jan 0001 00:00:00 +0000 https://handbook.gradientmetrics.com/products/list-experiments/what-is-list-experiments/ Introduction Illustrative Example Why a List Experiment? List Experiment Terms & Concepts Designing a List Experiment Step 1: Identify Sensitive Statement(s) To Be Tested Privately and Publicly. Step 2: Assemble Control Item Bundles. Examples Step 3: Design Survey Step 4: Determining Sample Size and Configuration Step 5: Randomly Assign Respondents To Control Or Treatment Groups Step 6: Collect Data Step 7: Analyze Results List Experiment FAQs Why is the estimate sometimes negative? https://handbook.gradientmetrics.com/products/list-experiments/analyzing-list-experiments/ Mon, 01 Jan 0001 00:00:00 +0000 https://handbook.gradientmetrics.com/products/list-experiments/analyzing-list-experiments/ Introduction Data structure Method Bayesian latent-opinion model (what we use) Other methods (briefly) g6tr.lx workflow 1) Parse survey data: lx_parse_data() 2) Fit the model: lx_fit() 3) Define subgroups: cohorts 4) Summaries and plots What the prediction data looks like Introduction A list experiment (also called the item count technique) is a survey experiment designed to estimate the share of people who agree with a sensitive statement when a direct question may be biased by social desirability, fear of judgment, or preference falsification.