A Step-by-Step Guide to Propensity Score Matching in R

Authors

Justus J. Randolph
Kristina Falbe
Austin Kureethara Manuel
Joseph L. Balloun

DOI

https://doi.org/10.7275/n3pv-tx27

Abstract

Propensity score matching is a statistical technique in which a treatment case is matched with one or more control cases based on each case’s propensity score. This matching can help strengthen causal arguments in quasi-experimental and observational studies by reducing selection bias. In this article we concentrate on how to conduct propensity score matching using an example from the field of education. Our goal is to provide information that will bring propensity score matching within the reach of research and evaluation practitioners. Accessed 57,198 times on https://pareonline.net from November 19, 2014 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Randolph, Justus J.; Falbe, Kristina; Manuel, Austin Kureethara; and Balloun, Joseph L. (2019) "A Step-by-Step Guide to Propensity Score Matching in R," Practical Assessment, Research, and Evaluation: Vol. 19, Article 18.
DOI: https://doi.org/10.7275/n3pv-tx27
Available at: https://scholarworks.umass.edu/pare/vol19/iss1/18