The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In…

Based on analyses of Maclean's ranking data pertaining to Canadian universities published over the last 24 years, we present a summary of statistical findings of annual ranking exercises, as well as discussion about their current status and the effects upon student welfare. Some illustrative tables are also presented. Using correlational and…

When lotteries are infeasible, researchers must rely on observational methods to estimate charter effectiveness at raising student test scores. Considerable attention has been paid to observational studies by the Stanford Center for Research on Education Outcomes (CREDO), which have analyzed charter performance in 27 states. However, the…

This article provides examples of how serious misconceptions can result when only "all student" scores from the National Assessment of Educational Progress (NAEP) are used for simplistic state-to-state comparisons. Suggestions for better treatment are presented. The article also compares Kentucky's eighth grade EXPLORE testing to NAEP…

This study extends recent findings of a relationship between the relative age of students among their peers and their probability of disability classification. Using three nationally representative surveys spanning 1988-2004 and grades K-10, we find that an additional month of relative age decreases the likelihood of receiving special education…

Outlines problems related to defining and classifying children with learning disabilities and describes the pitfalls of current assessment procedures, particularly the problems with discrepancy scores. Presents dynamic assessment as an alternative to classification procedures and reviews the results of two studies evaluating dynamic assessment.…

Conducted 3-year catch-up prospective study of 654 rural special education students. Record review of handicapped students from preschool through secondary school revealed that 32.8 percent had classification change. Changes in type of program occurred for 33.1 percent, and changes in frequency of services occurred for 71.2 percent of students in…

Attempted to classify convicted rapists, child molesters, and three different control groups, based on information from various assessment sources. Results indicated that behavioral measures combined with life history data could accurately classify subjects well above chance rates. Fairly accurate classification was obtained for three of five…

A study compared the effects of different methods of analyzing trends to illustrate how failure to account for change in classification will lead to misinterpretation of data on the performance of students with disabilities. Data from five years of assessment in Texas is used to illustrate effects of classification changes. (Contains references.)…