list: Statistical Methods for the Item Count Technique and List Experiment

Abstract

list is a publicly available R package that allows researchers to conduct a multivariate statistical analysis for the item count technique. This survey methodology is also known as the list experiment or the unmatched count technique is an alternative to the commonly used randomized response method. The package implements the methods described in Imai (2011) and Blair and Imai (2012), a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs including ceiling and floor effects and a random effects setup, and a Bayesian MCMC hierarchical regression model with up to three hierarchical groups.

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Source Code

The source code and the documentation are available for download from The Comprehensive R Archive Network (CRAN) and the GitHub repository.

Mailing List

If you would like to receive the updates about the software and ask questions about it, please subscribe our mailing list available through R forge. The mailing list archive is available.

Installation

Regardless of one’s operating system, the software can be installed by typing the following command at R prompt:

> install.packages(“list”)

This will install the latest version from CRAN.