Propensity Scores: A Practical Introduction Using R

Main Article Content

Antonio Olmos
Priyalatha Govindasamy

Abstract

Background: This paper provides an introduction to propensity scores for evaluation practitioners.

 

 

Purpose: The purpose of this paper is to provide the reader with a conceptual and practical introduction to propensity scores, matching using propensity scores, and its implementation using statistical R program/software.

 

Setting: Not applicable

 

Intervention: Not applicable

 

Research Design: Not applicable

 

 

 

Data Collection and Analysis: Not applicable

 

Findings: In this demonstration paper, we describe the context in which propensity scores are used, including the conditions under which the use of propensity scores is recommended, as well as the basic assumptions needed for a correct implementation of the technique. Next, we describe some of the more common techniques used to conduct propensity score matching. We conclude with a description of the recommended steps associated with the implementation of propensity score matching using several packages developed in R, including syntax and brief interpretations of the output associated with every step.

 

Keywords: propensity score analysis; propensity score matching; R.

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How to Cite
Olmos, A., & Govindasamy, P. (2015). Propensity Scores: A Practical Introduction Using R. Journal of MultiDisciplinary Evaluation, 11(25), 68–88. https://doi.org/10.56645/jmde.v11i25.431
Section
Research Articles
Author Biographies

Antonio Olmos, Morgridge College of Education University Of Denver

Research Methods and Statistics

Associate Professor

Priyalatha Govindasamy, Morgridge College of Education University Of DenverGraduate Student

Research Methods and Statistics