Combining a Local Comparison Group, a Pretest Measure, and Rich Covariates: How Well Do They Collectively Reduce Bias in Nonequivalent Comparison Group Designs?

Autor/inn/en	Brown, Seth; Song, Mengli; Cook, Thomas D.; Garet, Michael S.
Titel	Combining a Local Comparison Group, a Pretest Measure, and Rich Covariates: How Well Do They Collectively Reduce Bias in Nonequivalent Comparison Group Designs?
Quelle	In: American Educational Research Journal, 60 (2023) 1, S.141-182 (42 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0002-8312
DOI	10.3102/00028312221136565
Schlagwörter	Research Design; Pretests Posttests; Computation; Bias; Educational Research; Intervention; Randomized Controlled Trials; Program Effectiveness; Replication (Evaluation); Control Groups + Suchen Sie Ihr Suchwort? Forschungsdesign; Bildungsforschung; Pädagogische Forschung
Abstract	This study examined bias reduction in the eight nonequivalent comparison group designs (NECGDs) that result from combining (a) choice of a local versus non-local comparison group, and analytic use or not of (b) a pretest measure of the study outcome and (c) a rich set of other covariates. Bias was estimated as the difference in causal estimate between each NECGD and a carefully appraised randomized experiment with the same intervention, outcome, and estimand. Results indicated that bias generally declined with the number of design elements in an NECGD, that combining all three sufficed to eliminate bias but was not necessary for it, and that this pattern of results was largely replicated across five different replication factors. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01