ROLE: Empirical Research on Critical Issues in Recruiting and Retaining the Mathematics and Science Teaching Workforce

作用：数学和科学教学队伍招募和留住关键问题的实证研究

• 批准号: 0107014
• 负责人: Daniel Burke
• 金额: $ 85.77万
• 依托单位: The CNA Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-15 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0107014&HistoricalAwards=false
• 关键词: ROLE; Empirical; Research; Critical; Issues

This project is intended to examine statistical data bases for the cities of Miami and Detroit to apply a statistical model of teacher hiring practices to seek improved strategies for attracting high quality teachers. It would focus on determining leverage points for maintaining a high quality instructional work force, providing the basis for selecting a policy from among options of changing wage compensation, working conditions, or district policies. The team will use econometric analysis and dynamic-system modeling. Teacher turnover will be analyzed with a statistical model that includes teacher attributes, compensation, and school factors. Then school effects will be decomposed into specific attributes that affect turnover and measurable attributes that can be observed. Finally, the researchers will build a data set that links teachers to students to examine the effect of teacher attributes to student outcomes.

该项目的目的是审查迈阿密和底特律两个城市的统计数据库，以应用教师雇用做法的统计模式，寻求吸引高质量教师的改进战略。 它将侧重于确定维持高质量教学工作队伍的杠杆点，为从改变工资补偿、工作条件或地区政策的选项中选择政策提供依据。 该小组将使用计量经济学分析和动态系统建模。 教师离职率的分析将采用一个统计模型，其中包括教师的属性，补偿和学校的因素。 然后将学校效应分解为影响离职率的具体属性和可观测的可测量属性。 最后，研究人员将建立一个数据集，将教师与学生联系起来，以研究教师属性对学生成绩的影响。