README.md

In SensitiveQuestions/endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments

R package endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments

by Yuki Shiraito and Kosuke Imai

This package fits the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.

SensitiveQuestions/endorse documentation built on May 5, 2022, 11:23 p.m.