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Activity Number: 135
Type: Contributed
Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract - #308777
Title: Investigation of the Impact of Nonrandomization and Ceiling Effects on Estimates of Classroom Effects from Value-Added Models
Author(s): Pamela Fellers*+ and Walt W. Stroup and Jennifer Green
Companies: University of Nebraska-Lincoln and University of Nebraska-Lincoln and University of Nebraska-Lincoln
Keywords: Value-Added Modeling ; Classroom Assignment ; Teacher Effects ; Ceiling Effect
Abstract:

Value-added models (VAMs) are seeing increased use as a tool to assess teacher and school contributions to students' academic growth. Additionally, there is growing interest in adapting VAMs to characterize the effect of professional development programs. However, the data available often do not meet the technical requirements of current VAMs. Specifically, models assume random assignment of students to classes, when in reality students are not randomly assigned to classes for a variety of educationally legitimate reasons. Simulation studies that incorporate student assignment structures adapted from actual school districts provide insight into the influence of non-randomization on the performance of VAMs. Although assessment ceiling effects do not directly violate any assumptions of VAMs there is concern they may affect the resulting estimates. Building practical ceiling effects into simulation studies helps investigate this concern. This talk will present results from simulation studies conducted to examine the behavior and impact of realistic patterns of non-randomization and ceiling effects on estimates from VAMs.


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