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Student Growth Percentiles×Kvantilregression×
ÄmnesområdeEducationEkonometri
FamiljRegression modelRegression model
Ursprungsår20091978
UpphovspersonDamian W. BetebennerKoenker & Bassett
TypNormative growth description via conditional quantile regressionConditional quantile regression
UrsprungskällaBetebenner, D. W. (2009). Norm- and criterion-referenced student growth. Educational Measurement: Issues and Practice, 28(4), 42–51. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
AliasSGP, Conditional Status Percentiles, Betebenner Growth Percentiles, Quantile-Regression Growth Modelconditional quantile regression, regression quantiles, Kantil Regresyon
Närliggande45
SammanfattningStudent growth percentiles (SGPs) describe how much a student grew academically relative to peers with similar score histories. Introduced by Damian Betebenner in 2009, the method fits a series of conditional quantile regressions of a current test score on prior scores, then reports each student's growth as the percentile rank they occupy within the distribution of students who had the same starting point. A student at the 70th growth percentile grew faster than 70 percent of academic peers, regardless of their absolute achievement level.Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.
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ScholarGateJämför metoder: Student Growth Percentiles · Quantile Regression. Hämtad 2026-06-25 från https://scholargate.app/sv/compare