An Integrated Item Response Model for Evaluating Individual Students' Growth in Educational Achievement

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dc.contributor.advisorHancock, Gregory R.en_US
dc.contributor.authorKoran, Jenniferen_US
dc.contributor.departmentMeasurement, Statistics and Evaluationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2009-10-06T05:49:29Z
dc.date.available2009-10-06T05:49:29Z
dc.date.issued2009en_US
dc.description.abstractMeasuring continuous change or growth in individual students' academic abilities over time currently uses several statistical models or transformations to move from data representing a student's correct or incorrect responses on individual test items to inferences about the form and quantity of changes in the student's underlying ability. This study proposed and investigated a single integrated model of underlying growth within an Item Response Theory framework as a potential alternative to this approach. A Monte Carlo investigation explored parameter recovery for marginal maximum likelihood estimates via the Expectation-Maximization algorithm under variations of several conditions, including the form of the underlying growth trajectory, the amount of inter-individual variation in the rate(s) of growth, the sample size, the number of items at each time point, and the selection of items administered across time points. A real data illustration with mathematics assessment data from the Early Childhood Longitudinal Study showed the practical use of this integrated model for measuring gains in academic achievement. Overall, this exploration of an integrated model approach contributed to a better understanding of the appropriate use of growth models to draw valid inferences about students' academic growth over time.en_US
dc.format.extent520851 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/9502
dc.language.isoen_US
dc.subject.pqcontrolledEducation, Generalen_US
dc.subject.pqcontrolledEducation, Tests and Measurementsen_US
dc.subject.pqcontrolledStatisticsen_US
dc.subject.pquncontrolledachievementen_US
dc.subject.pquncontrolledgrowthen_US
dc.subject.pquncontrolledIRTen_US
dc.subject.pquncontrolleditem response theoryen_US
dc.subject.pquncontrollednonlinear mixed effectsen_US
dc.subject.pquncontrolledvertical scalingen_US
dc.titleAn Integrated Item Response Model for Evaluating Individual Students' Growth in Educational Achievementen_US
dc.typeDissertationen_US

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