| 来源类型 | Publication |
| What Are Error Rates for Classifying Teacher and School Performance Using Value-Added Models? | |
| Peter Z. Schochet; Hanley S. Chiang | |
| 发表日期 | 2013-04-30 |
| 出版者 | Journal of Educational and Behavioral Statistics, vol. 38, no. 2 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 概述 | This article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. ", |
| 摘要 | This article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using formulas based on ordinary least squares and empirical Bayes estimators, error rates for comparing a teacher’s performance to the average are likely to be about 25 percent with three years of data and 35 percent with one year of data. Corresponding error rates for overall false positive and negative errors are 10 percent and 20 percent, respectively. The results suggest that policymakers must carefully consider likely system error rates when using value-added estimates to make high-stakes decisions regarding educators. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/what-are-error-rates-for-classifying-teacher-and-school-performance-using-value-added-models |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487388 |
| 推荐引用方式 GB/T 7714 | Peter Z. Schochet,Hanley S. Chiang. What Are Error Rates for Classifying Teacher and School Performance Using Value-Added Models?. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
