rankingQ: Design-Based Methods for Improving Ranking Questions

rankingQ implements design-based methods for correcting measurement errors in ranking questions due to random responses. rankingQ allows users to estimate various ranking-based quantities of interest both non-parametrically and parametrically. rankingQ also offers practical tools for detecting the bias and assessing the anchor-ranking question.

For the underlying methodology, see Atsusaka, Y., & Kim, S.S. (2024). Addressing Measurement Errors in Ranking Questions for the Social Sciences. Political Analysis (conditionally accepted). https://osf.io/preprints/osf/3ys8x

Installation

rankingQ can be installed using the following code:

remotes::install_github(
  "sysilviakim/rankingQ",
  dependencies = TRUE
)

Website

Please visit the package site for vignettes and references.