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Methods for synthesizing regression models: The case of education production functions

Methods for synthesizing regression models: The case of education production functions
综合回归模型的方法:教育生产函数的案例
批准号:
0723543
负责人:
Therese Pigott
金额:
$28.75万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2012-08-31

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中文摘要
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英文摘要
This proposal seeks to develop and test new methods for meta-analysis and synthesis of research that uses multiple regression models of different specificity. Current methods for meta-analysis focus on the synthesis of effect sizes based on summary statistics such as standardized mean differences, correlations and odds ratios. The intellectual merit of this proposal is the development of methods for synthesizing the results of multiple regression across studies. The methods proposed in this study build on statistical methods for missing data.
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Collaborative Research: Modern Meta-Analysis Research Institute
Modern Meta-Analysis Research Institute
Graduate Research Fellowship Program (GRFP)
  • 批准号:
    1842190
  • 项目类别:
    Fellowship Award
  • 资助金额:
    $9.2万
  • 财政年份:
    2018
  • 负责人:
    Therese Pigott
  • 依托单位:
海外基金