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Abstract Details
Activity Number:
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73
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Education
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Abstract - #306308 |
Title:
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Binning by Quantile Applied to Value-Added Models in Education
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Author(s):
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Pamela Fellers*+
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Companies:
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University of Nebraska
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Address:
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340 Hardin Hall North, Lincoln, NE, 68583-0963, United States
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Keywords:
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value-added modeling ;
generalized linear mixed model ;
Assessment ;
binning
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Abstract:
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Value-added models (VAM) are prevalently used as a tool to assess teacher and school contributions to students' academic growth. There is increasing interest in using VAM to assess the impact of professional development programs. However, the data available often do not meet the technical requirements of current VAM. One common challenge occurs when available student achievement data come from multiple assessments over time. Binning by quantile is one possible approach for dealing with this problem. This talk will provide a description of the binning by quantile method along with simulation study results to highlight the behavior and computational issues of this method as compared to other proposed methods.
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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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