This study examined the relation between benchmark data and rate of growth across the year for reading, math computation, and math concepts and applications curriculum-based measures, and a statewide and large-scale achievement test. Results showed that reading and math benchmarks were significantly and moderately correlated with performance on…

The primary purpose of this research is to examine the impact of estimation methods, actual latent trait distributions, and item pool characteristics on the performance of a simulated computerized adaptive testing (CAT) system. In this study, three estimation procedures are compared for accuracy of estimation: maximum likelihood estimation (MLE),…

A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels, nonoptimal item selection is a likely result. Nevertheless, examinee response behavior consistent with…

Described is the mathematics achievement of 391 elementary education majors at the University of Arizona. Students were administered two subtests of the California Achievement Test: the Mathematics Computation Subtest and the Mathematics Concepts and Application Subtest. The CAT was administered in a non-standard manner. Students were allowed…

Examined gender differences in the mathematics performance of high-achieving fourth and sixth graders, noting the effects of ethnicity. Scores from 1996 California Achievement Tests indicated that students in both grades showed significant gender differences. There were no interaction effects of gender by ethnicity. There were inconsistent racial…