Literaturnachweis - Detailanzeige
Autor/inn/en | Joyce, Ted; Remler, Dahlia K.; Jaeger, David A.; Altindag, Onur; O'Connell, Stephen D.; Crockett, Sean |
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Titel | On Measuring and Reducing Selection Bias with a Quasi-Doubly Randomized Preference Trial |
Quelle | In: Journal of Policy Analysis and Management, 36 (2017) 2, S.438-459 (22 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0276-8739 |
DOI | 10.1002/pam.21976 |
Schlagwörter | Randomized Controlled Trials; Quasiexperimental Design; Selection Criteria; Selection Tools; Test Bias; Research Methodology; Sampling; Undergraduate Students; Time Factors (Learning); Microeconomics; Introductory Courses; Intervention; Control Groups; Experimental Groups; Participant Characteristics; Maximum Likelihood Statistics; Effect Size |
Abstract | Randomized experiments provide unbiased estimates of treatment effects, but are costly and time consuming. We demonstrate how a randomized experiment can be leveraged to measure selection bias by conducting a subsequent observational study that is identical in every way except that subjects choose their treatment--a quasi-doubly randomized preference trial (quasi-DRPT). Researchers first strive to think of and measure all possible confounders and then determine how well these confounders as controls can reduce or eliminate selection bias. We use a quasi-DRPT to study the effect of class time on student performance in an undergraduate introductory microeconomics course at a large public university, illustrating its required design elements: experimental and choice arms conducted in the same setting with identical interventions and measurements, and all confounders measured prospectively to treatment assignment or choice. Quasi-DRPTs augment randomized experiments in real-world settings where participants choose their treatments. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |