| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w18010 |
| 来源ID | Working Paper 18010 |
| Measuring Test Measurement Error: A General Approach | |
| Donald Boyd; Hamilton Lankford; Susanna Loeb; James Wyckoff | |
| 发表日期 | 2012-04-17 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | Test-based accountability including value-added assessments and experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet we know little regarding important properties of these tests, an important example being the extent of test measurement error and its implications for educational policy and practice. While test vendors provide estimates of split-test reliability, these measures do not account for potentially important day-to-day differences in student performance. |
| 主题 | Health, Education, and Welfare ; Education |
| URL | https://www.nber.org/papers/w18010 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/575685 |
| 推荐引用方式 GB/T 7714 | Donald Boyd,Hamilton Lankford,Susanna Loeb,et al. Measuring Test Measurement Error: A General Approach. 2012. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w18010.pdf（657KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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