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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Propensity Score Matching And Generalized Boosted Modeling In The Context Of Model Misspecification: A Simulation Study, Briana G. Craig
Propensity Score Matching And Generalized Boosted Modeling In The Context Of Model Misspecification: A Simulation Study, Briana G. Craig
Masters Theses, 2020-current
In the absence of random assignment, researchers must consider the impact of selection bias – pre-existing covariate differences between groups due to differences among those entering into treatment and those otherwise unable to participate. Propensity score matching (PSM) and generalized boosted modeling (GBM) are two quasi-experimental pre-processing methods that strive to reduce the impact of selection bias before analyzing a treatment effect. PSM and GBM both examine a treatment and comparison group and either match or weight members of those groups to create new, balanced groups. The new, balanced groups theoretically can then be used as a proxy for the …
The Influence Of Covariate Measurement Error On Treatment Effect Estimates And Numeric Balance Diagnostics Following Several Common Methods Of Propensity Score Matching: A Simulation Study, Heather D. Harris
Dissertations, 2014-2019
In applied intervention studies, researchers frequently aim to make inferences about the impact of a treatment program on participants. However, applied researchers are often faced with threats to the internal validity of their studies, or the extent to which changes in participants’ outcomes can be attributed to the intervention. When researchers are unable to randomly assign study participants to treatment conditions, changes in the intervention outcome might be confounded with systematic differences in participants’ baseline characteristics. Propensity score matching is one technique that allows researchers to account for threats to the internal validity of a study. Specifically, using propensity score …
Propensity Score Matching In Higher Education Assessment, Heather D. Harris
Propensity Score Matching In Higher Education Assessment, Heather D. Harris
Masters Theses, 2010-2019
The applied nature of higher education assessment does not lend itself to rigorous experimental research designs. However, assessment practitioners would like to make claims about the influence of educational programs on student learning outcomes. Propensity score matching (PSM) methods are quasi-experimental techniques that allow researchers to control for known confounding variables. In the context of higher education, PSM techniques allow assessment practitioners to control for confounding variables related to students’ self-selected participation in university programs. Research and recommendations on how to apply PSM techniques are scattered throughout several disciplines. However, additional research is needed to evaluate how well PSM techniques …