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.
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).
","abstract_html":"<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>","abstract_has_math":false,"creators":["Phillips, Shane Michael"],"institution":null,"degree_name":"Ph.D.","degree_level":"Campus Access Dissertation","degree_discipline":"Educational Studies","degree_department":null,"school":null,"contributors":["Michael A Seaman"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-01-01T08:00:00Z","date_published":"2012-01-01T08:00:00Z","updated_at":"2026-07-24T04:38:23Z","subjects":["Education","Educational Psychology","Matching","Propensity Score"],"languages":[],"rights":["© 2012, Shane Michael Phillips"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarcommons.sc.edu/etd/1032","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Michael A Seaman"]},{"key":"dc:creator","label":"Author","values":["Phillips, Shane Michael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Educational Studies"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Campus Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Education","Educational Psychology","Matching","Propensity Score"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["© 2012, Shane Michael Phillips"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarcommons.sc.edu/etd/1032"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
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).
"]},{"key":"dc:title","label":"Title","values":["Propensity Score Matching Techniques: Simulation and Application in an Educational Research Context"]}]}],"canonical_facts":{"dc:contributor":["Michael A Seaman"],"dc:creator":["Phillips, Shane Michael"],"dc:description.abstract":["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.
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).
"],"dc:identifier":["https://scholarcommons.sc.edu/etd/1032"],"dc:rights":["© 2012, Shane Michael Phillips"],"dc:subject":["Education","Educational Psychology","Matching","Propensity Score"],"dc:title":["Propensity Score Matching Techniques: Simulation and Application in an Educational Research Context"],"thesis:degree_discipline":["Educational Studies"],"thesis:degree_level":["Campus Access Dissertation"],"thesis:degree_name":["Ph.D."]},"updated_at":"2026-07-24T04:38:23Z"}