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Autor/inSchochet, Peter Z.
InstitutionInstitute of Education Sciences (ED), National Center for Education Evaluation and Regional Assistance
TitelThe Late Pretest Problem in Randomized Control Trials of Education Interventions. NCEE 2009-4033
Quelle(2008), (46 Seiten)
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit 
ZusatzinformationWeitere Informationen
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterPretests Posttests; Pretesting; Scores; Intervention; Statistical Analysis; Computation; Achievement Tests; Statistical Bias; Simulation; Statistics; Research Design
AbstractPretest-posttest experimental designs are often used in randomized control trials (RCTs) in the education field to improve the precision of the estimated treatment effects. For logistic reasons, however, pretest data are often collected after random assignment, so that including them in the analysis could bias the posttest impact estimates. Thus, the issue of whether to collect and use late pretest data in RCTs involves a variance-bias tradeoff. This paper addresses this issue both theoretically and empirically for several commonly-used impact estimators using a loss function approach that is grounded in the causal inference literature. The key finding is that for RCTs of interventions that aim to improve student test scores, estimators that include late pretests will typically be preferred to estimators that exclude them or that instead include uncontaminated baseline test score data from other sources. This result holds as long as the growth in test score impacts do not grow very quickly early in the school year. Proof of Asymptotic Results for the ANCOVA [analysis of covariance] Estimator is appended. (Contains 6 footnotes, 1 figure, and 5 tables.) (As Provided).
AnmerkungenNational Center for Education Evaluation and Regional Assistance. Available from: ED Pubs. P.O. Box 1398, Jessup, MD 20794-1398. Tel: 877-433-7827; Web site: http://ies.ed.gov/ncee/pubs/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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