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来源类型Publication
Comparing Impact Findings from Design-Based and Model-Based Methods: An Empirical Investigation
Tim Kautz; Peter Z. Schochet; and Charles Tilley
发表日期2017-07-31
出版者Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Analytic Technical Assistance and Development
出版年2017
语种英语
概述This study investigates how much of a practical difference it makes to use design-based methods versus more conventional model-based methods. ",
摘要This study investigates how much of a practical difference it makes to use design-based methods versus more conventional model-based methods. The study re-analyzes data from nine past education RCTs covering a wide range of evaluation designs. Impacts are estimated using design-based, HLM, and robust standard error methods. The study finds that the design- and model-based methods yield very similar impact estimates and levels of statistical significance, especially when the underlying analytic assumptions (such as the weights used to aggregate clusters and blocks) are aligned. Furthermore, the differences between the design- and model-based methods are no greater than the differences between the two considered model-based methods.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/comparing-impact-findings-from-design-based-and-model-based-methods-an-empirical-investigation
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/488951
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Tim Kautz,Peter Z. Schochet,and Charles Tilley. Comparing Impact Findings from Design-Based and Model-Based Methods: An Empirical Investigation. 2017.
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