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University of South Carolina

Propensity Score Matching Techniques: Simulation and Application in an Educational Research Context

Abstract

dc:description.abstract

<p>Propensity score matching is a relatively new technique used in observational studies to approximate data that have been randomly assigned to treatment. This technique assimilates the values of several covariates into a single propensity score that is used as a matching variable to create similar groups.</p> <p>This dissertation comprises two separate but related studies. The first is a simulation wherein generated data are analyzed to determine if one of three propensity score matching techniques performs more effectively in reducing sample bias and if those methods more accurately detect a simulated effect size than does a traditional analysis of covariance (ANCOVA).</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Campus Access Dissertation
Discipline thesis:degree_discipline
Educational Studies
Year
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Phillips, Shane Michael
Contributors dc:contributor
  • Michael A Seaman

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • © 2012, Shane Michael Phillips

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarcommons.sc.edu/etd/1032
OAI identifier oai:identifier
oai:scholarcommons.sc.edu:etd-2033

Chain of custody

source
Harvested from
University of South Carolina
Base URL
scholarcommons.sc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Phillips, Shane Michael. Propensity Score Matching Techniques: Simulation and Application in an Educational Research Context. Campus Access Dissertation thesis, 2012. https://scholarcommons.sc.edu/etd/1032