Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Student Growth Percentiles× | Kvantīļu regresija× | |
|---|---|---|
| Nozare≠ | Education | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 2009 | 1978 |
| Autors≠ | Damian W. Betebenner | Koenker & Bassett |
| Tips≠ | Normative growth description via conditional quantile regression | Conditional quantile regression |
| Pirmavots≠ | Betebenner, 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 ↗ |
| Citi nosaukumi≠ | SGP, Conditional Status Percentiles, Betebenner Growth Percentiles, Quantile-Regression Growth Model | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | Student 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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