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Student Growth Percentiles×Quantile Regression×
FachgebietEducationÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr20091978
UrheberDamian W. BetebennerKoenker & Bassett
TypNormative growth description via conditional quantile regressionConditional quantile regression
Wegweisende QuelleBetebenner, 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 ↗
AliasnamenSGP, Conditional Status Percentiles, Betebenner Growth Percentiles, Quantile-Regression Growth Modelconditional quantile regression, regression quantiles, Kantil Regresyon
Verwandt45
ZusammenfassungStudent 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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ScholarGateMethoden vergleichen: Student Growth Percentiles · Quantile Regression. Abgerufen am 2026-06-25 von https://scholargate.app/de/compare