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The Impact of Within-Template Systematic Variation on Response Models
thesis
posted on 2013-12-05, 00:00 authored by Quinn Nathaniel LathropWith item response data, systematic variation within nested groups of generated items may negatively impact the estimation of item and person parameters. This paper studies a model that can capture the multilevel structure of the data and explain within-template systematic variability. The goal of this model is twofold. First, explaining and removing non-random error may improve ability and item parameter estimates. And second, finding systematic variation can bring insights into the educational process. Simulation results are discussed at length.
History
Date Modified
2017-06-05Research Director(s)
Ying ChengCommittee Members
Scott Maxwell Lijuan WangDegree
- Master of Arts
Degree Level
- Master's Thesis
Language
- English
Alternate Identifier
etd-12052013-125736Publisher
University of Notre DameProgram Name
- Psychology
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