Clarifies the primary questions raised by the use of value-added models (VAM) for measuring teacher effects, reviews the most important recent applications of VAM, and discusses statistical and measurement issues associated with VAM. Does value-added modeling (VAM) demonstrate the importance of teachers to student outcomes? The authors clarify the primary questions raised by VAM for measuring teacher effects, review the most important recent applications of VAM, and discuss a variety of statistical and measurement issues that might affect the validity of VAM inferences. The authors identify numerous possible sources of error and bias in teacher effects and recommend a number of steps for future research into these potential errors.
评分
评分
评分
评分
本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度,google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美书屋 版权所有