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Unlu, Ali; Sargin, Anatol – Applied Psychological Measurement, 2009
Mondrian is state-of-the-art statistical data visualization software featuring modern interactive visualization techniques for a wide range of data types. This article reviews the capabilities, functionality, and interactive properties of this software package. Key features of Mondrian are illustrated with data from the Programme for International…
Descriptors: Statistical Data, Computer Graphics, Computer Software, Item Analysis
Basturk, Ramazan – Assessment & Evaluation in Higher Education, 2008
This study investigated the usefulness of the many-facet Rasch model (MFRM) in evaluating the quality of performance related to PowerPoint presentations in higher education. The Rasch Model utilizes item response theory stating that the probability of a correct response to a test item/task depends largely on a single parameter, the ability of the…
Descriptors: Higher Education, Teaching (Occupation), Rating Scales, Program Effectiveness

Wainer, Howard – Journal of Educational Measurement, 1989
This paper reviews the role of the item in test construction, and suggests some new methods of item analysis. A look at dynamic, graphical item analysis is provided that uses the advantages of modern, high-speed, highly interactive computing. Several illustrations are provided. (Author/TJH)
Descriptors: Computer Assisted Testing, Computer Graphics, Graphs, Item Analysis
Lai, Ah-Fur; Chen, Deng-Jyi; Chen, Shu-Ling – Journal of Educational Multimedia and Hypermedia, 2008
The IRT (Item Response Theory) has been studied and applied in computer-based test for decades. However, almost of all these existing studies evaluated focus merely on test questions with text-based (or static text/graphic) type of presentation form illustrated exclusively. In this paper, we present our study on test questions using both…
Descriptors: Elementary School Students, Semantics, Difficulty Level, Item Response Theory

Henry, Gary T. – Evaluation Review, 1993
Effectiveness in presenting information of a modified box plot and a multivariate STAR graph was compared with that of tables for a sample audience for evaluation results (133 school superintendents, 123 journalists, 100 school board members, 100 principals, 100 teachers). Individual item analysis offers guidance for designing multivariate…
Descriptors: Boards of Education, Computer Graphics, Display Systems, Educational Assessment