In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…

David Thissen, a professor in the Department of Psychology and Neuroscience, Quantitative Program at the University of North Carolina, has consulted and served on technical advisory committees for assessment programs that use item response theory (IRT) over the past couple decades. He has come to the conclusion that there are usually two purposes…

Finding, accessing, and determining the credibility of information are skills most people would deem necessary for the college educated person, if not the average citizen, to possess today. At the same time, educators, as well as constituents of educational institutions are asking for better and more sophisticated assessment instruments of…

The Maryland Functional Testing Program (MFTP) uses the Rasch model as the statistical framework for the analysis of test items and scores. This paper is designed to assist the reader in developing an understanding of the fit statistics in the Rasch model. Background materials on application of the Rasch model in statistical analysis of the MFTP…

Describes a computerized method to test error analysis that helps motivate introductory physics students to learn the topic. The computer generates a test consisting of four topics from a list of 10 that students should know. Numerical data within realistic ranges are also generated. (JN)

In the spring of 1991 the first full-scale National Household Education Survey (NHES:91) was conducted for the National Center for Education Statistics (NCES). The NHES:91 was a national random digit dial telephone survey of about 14,000 parents of 3- to 8-year-old children concerning the educational experiences of young children. A reinterview…