Literaturnachweis - Detailanzeige
| Autor/inn/en | Unlu, Fatih; Lauen, Douglas Lee; Fuller, Sarah Crittenden; Berglund, Tiffany; Estrera, Elc |
|---|---|
| Titel | Can Quasi-Experimental Evaluations That Rely on State Longitudinal Data Systems Replicate Experimental Results? |
| Quelle | In: Journal of Policy Analysis and Management, 40 (2021) 2, S.572-613 (42 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0276-8739 |
| DOI | 10.1002/pam.22295 |
| Schlagwörter | Quasiexperimental Design; Longitudinal Studies; Databases; Statistical Bias; Replication (Evaluation); Pretesting; Benchmarking; Scores; Comparative Analysis; High School Students; Dual Enrollment; Attendance |
| Abstract | Do quasi-experimental (QE) studies conducted with baseline covariates that are typically available in the longitudinal administrative state databases yield unbiased effect estimates? This paper conducts a within-study comparison (WSC) study that compares experimental impacts of early college high school (ECHS) attendance with QE impacts drawn from the state and locales. We find that (1) QE models for outcomes with natural (matching) pretests replicated the randomized benchmarks quite well; (2) the replication bias is not sensitive to type of propensity score model or method; and (3) imposing locational restrictions (i.e., local matching) on the comparison students--specifically choosing them from among non-treatment students who came from the same feeder middle schools as the treatment students--does not decrease the QE bias; on the contrary, it performed worse than the models that did not impose this restriction for most outcomes. The first two findings are generally consistent with other education WSCs while the third one is not, suggesting that in cases where selection may be driven by individual-level factors, such as this one, local matching may yield biased treatment effect estimates by greatly reducing the pool of potential comparison units and distorting balance on unobservable confounders while prioritizing balance on observable factors. (As Provided). |
| Anmerkungen | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
Permalink als QR-Code
Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)
Teile diese Seite:
