Using Quantile Regression to Estimate Intervention Effects beyond the Mean

Autor/inn/en	Konstantopoulos, Spyros; Li, Wei; Miller, Shazia; van der Ploeg, Arie
Titel	Using Quantile Regression to Estimate Intervention Effects beyond the Mean
Quelle	In: Educational and Psychological Measurement, 79 (2019) 5, S.883-910 (28 Seiten)Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	ORCID (Konstantopoulos, Spyros) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164419837321
Schlagwörter	Regression (Statistics); Statistical Analysis; Educational Research; Social Science Research; Least Squares Statistics; Intervention; Achievement Tests; Standardized Tests; Elementary Secondary Education; Computation; Scores; Indiana; Indiana Statewide Testing for Educational Progress; TerraNova Multiple Assessments + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Statistische Analyse; Bildungsforschung; Pädagogische Forschung; Social scientific research; Sozialwissenschaftliche Forschung; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Standadised tests; Standardisierter Test
Abstract	This study discusses quantile regression methodology and its usefulness in education and social science research. First, quantile regression is defined and its advantages vis-à-vis vis ordinary least squares regression are illustrated. Second, specific comparisons are made between ordinary least squares and quantile regression methods. Third, the applicability of quantile regression to empirical work to estimate intervention effects is demonstrated using education data from a large-scale experiment. The estimation of quantile treatment effects at various quantiles in the presence of dropouts is also discussed. Quantile regression is especially suitable in examining predictor effects at various locations of the outcome distribution (e.g., lower and upper tails). (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2021/2/06