Quantile Regression in the Study of Developmental Sciences

Autor/inn/en	Petscher, Yaacov; Logan, Jessica A. R.
Titel	Quantile Regression in the Study of Developmental Sciences
Quelle	In: Child Development, 85 (2014) 3, S.861-881 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Petscher, Yaacov) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0009-3920
DOI	10.1111/cdev.12190
Schlagwörter	Regression (Statistics); Evaluation Methods; Databases; Longitudinal Studies; Research Methodology; Inferences; Child Development; Developmental Psychology + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Datenbank; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Research method; Forschungsmethode; Inference; Inferenz; Kindesentwicklung; Entwicklungspsychologie
Abstract	Linear regression analysis is one of the most common techniques applied in developmental research, but only allows for an estimate of the average relations between the predictor(s) and the outcome. This study describes quantile regression, which provides estimates of the relations between the predictor(s) and outcome, but across multiple points of the outcome's distribution. Using data from the High School and Beyond and U.S. Sustained Effects Study databases, quantile regression is demonstrated and contrasted with linear regression when considering models with: (a) one continuous predictor, (b) one dichotomous predictor, (c) a continuous and a dichotomous predictor, and (d) a longitudinal application. Results from each example exhibited the differential inferences which may be drawn using linear or quantile regression. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10