Search results for author:"Roy Levy"
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SEMModComp: An R Package for Calculating Likelihood Ratio Tests for Mean and Covariance Structure Models
Roy Levy
Applied Psychological Measurement Vol. 34, No. 5 (2010) pp. 370–371
SEMModComp, a software package for conducting likelihood ratio tests for mean and covariance structure modeling is described. The package is written in R and freely available for download or on request.
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An Overview of Software for Conducting Dimensionality Assessment in Multidimensional Models
Dubravka Svetina; Roy Levy
Applied Psychological Measurement Vol. 36, No. 8 (November 2012) pp. 659–669
An overview of popular software packages for conducting dimensionality assessment in multidimensional models is presented. Specifically, five popular software packages are described in terms of their capabilities to conduct dimensionality assessment ...
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Specifying and Refining a Measurement Model for a Computer-Based Interactive Assessment
Roy Levy; Robert J. Mislevy
International Journal of Testing Vol. 4, No. 4 (Dec 01, 2004) pp. 333–369
The challenges of modeling students' performance in computer-based interactive assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of...
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Introduction to Evidence Centered Design and Lessons Learned from Its Application in a Global E-Learning Program
John T. Behrens; Robert J. Mislevy; Malcolm Bauer; David M. Williamson; Roy Levy
International Journal of Testing Vol. 4, No. 4 (Dec 01, 2004) pp. 295–301
This article introduces the assessment and deployment contexts of the Networking Performance Skill System (NetPASS) project and the articles in this section that report on findings from this endeavor. First, the educational context of the Cisco...
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On the Roles of External Knowledge Representations in Assessment Design
Robert J. Mislevy; John T. Behrens; Randy E. Bennett; Sarah F. Demark; Dennis C. Frezzo; Roy Levy; Daniel H. Robinson; Daisy Wise Rutstein; Valerie J. Shute; Ken Stanley; Fielding I. Winters
Journal of Technology, Learning, and Assessment Vol. 8, No. 2 (January 2010)
People use external knowledge representations (KRs) to identify, depict, transform, store, share, and archive information. Learning how to work with KRs is central to be-coming proficient in virtually every discipline. As such, KRs play central...