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Activity Number:
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127
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #305618 |
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Title:
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Simultaneous Statistical Inference in Evaluating Teacher Performance
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Author(s):
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Bing Han*+
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Companies:
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RAND Corporation
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Address:
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1776 Main St, Santa Monica, CA, 90401,
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Keywords:
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Simultaneous inference ; Value-added model ; Teacher evaluation
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Abstract:
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Currently there is widespread interest in using sophisticated value-added models (VAM) as a part of the evaluations for individual teachers as and schools and using the measures for a variety of purposes including merit pay. Evaluation systems based on VAM typically involve classifying hundreds or even thousands of teachers/schools according to their estimated performance. At the system level, the entire collection of classifications determines whether scarce resources are well allocated. Current classifications and bonus decisions are still largely based on individual VAM estimates and confidence associated with them, with little or no consideration of controlling simultaneous error rates and their potential effect on the whole educational evaluation system. We discuss controlling simultaneous errors in classification of teachers/schools on the basis of student achievement and VAM.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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