Lawrence M. Rudner

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This paper describes and evaluates a decision theory measurement model that can be used to classify examinees based on their item response patterns. The model has a simple framework that starts with the conditional probabilities of examinees in each category or mastery state responding correctly to each item. An overview of measurement decision theory and(More)
Skeletal unloading results in an inhibition of bone formation associated with a decrease in osteoblast number, impaired mineralization of bone, and altered proliferation and differentiation of osteoprogenitor cells. Although such changes are likely to be mediated by multiple factors, resistance to the growth-promoting action of insulin-like growth factor I(More)
The Graduate Management Admission Council® (GMAC®) has long benefited from advances in automated essay scoring. When GMAC® adopted ETS® e-rater® in 1999, the Council’s flagship product, the Graduate Management Admission Test® (GMAT®), became the first large-scale assessment to incorporate automated essay scoring. The change was controversial at the time(More)
Today most e-tests that created using the commercial tools for etest generation or the Learning Management Systems (LMSs) such as Moodle or others don't provide a methodology for a perfect assessment of short answer questions. Unfortunately all of them provide a binary assessment that can be 1 (for completely True) or 0 (for completely false) even if the(More)
By placing item statistics on a common scale, items piloted with groups of test takers who have different ability levels can be combined to yield a test with known characteristics. This project examined two approaches using the classical testing theory and one approach using the Rasch model for scaling item difficulty estimates. A simulation study was(More)