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 × 4Rights
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