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ERIC Number: EJ1100491
Record Type: Journal
Publication Date: 2016-Jun
Pages: 23
Abstractor: As Provided
ISSN: ISSN-1076-9986
Propensity Score Analysis in R: A Software Review
Keller, Bryan; Tipton, Elizabeth
Journal of Educational and Behavioral Statistics, v41 n3 p326-348 Jun 2016
In this article, we review four software packages for implementing propensity score analysis in R: "Matching, MatchIt, PSAgraphics," and "twang." After briefly discussing essential elements for propensity score analysis, we apply each package to a data set from the Early Childhood Longitudinal Study in order to estimate the average effect of elementary school special education services on math achievement in fifth grade. In the context of this real data example, we evaluate documentation and support resources, built-in quantitative and graphical diagnostic features, and methods available for estimating a causal effect. We conclude by making some recommendations aimed at helping researchers decide which package to turn to based upon their familiarity with propensity score methods, programming in R, and the type of analysis being conducted.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Education; Grade 5; Intermediate Grades; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey
Grant or Contract Numbers: N/A