Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…

Recent changes to state laws on accountability have prompted school districts to design teacher performance evaluation systems that incorporate student achievement (student growth) as a major component. As a consequence, some states and districts are considering teacher value- added models as part of teacher performance evaluations. Value-added…

Despite the fact that categories are often composed of correlated features, the evidence that people detect and use these correlations during intentional category learning has been overwhelmingly negative to date. Nonetheless, on other categorization tasks, such as feature prediction, people show evidence of correlational sensitivity. A…

The Education Trust research report "Stuck Schools" suggests a framework for identifying chronically low-performing schools in need of turnaround. The study uses Maryland and Indiana to show that some low-performing schools make progress while others remain stagnant. The report has four serious problems of reliability and validity,…

This study explored potential influences that students' educational label, behavior, and learning characteristics have on program expectations, modifications, accommodations, and postsecondary outcomes as perceived by Indiana secondary career and technical education (CTE) instructors. This is a replication study of research conducted with…

A number of universities have recently started to add baccalaureate programs in Information Technology (IT) to their existing programs in Computer Science (CS) and (Management) Information Systems (IS). While some have welcomed this development, others have argued that (a) there are significant differences between the baccalaureate programs in IT…

Two groups of listeners learned to categorize a set of unfamiliar talkers by dialect region using sentences selected from the TIMIT speech corpus. One group learned to categorize a single talker from each of six American English dialect regions. A second group learned to categorize three talkers from each dialect region. Following training, both…