A version of sequential mastery testing is studied in which response behavior is modeled by an item response theory (IRT) model. First, a general theoretical framework is sketched that is based on a combination of Bayesian sequential decision theory and item response theory. A discussion follows on how IRT based sequential mastery testing can be…

Focus: HOPE provides valuable, practical occupational training in machinist or information technology (IT) occupations to young people who face barriers to the development of viable careers through postsecondary education and training because of low-income, basic skills deficiencies, incarceration, or parenting responsibilities. This report…

Comparisons were made of attitudes and behavior between single- and multiperson teams in business simulation games. Multiperson games gave rise to higher initial goals for business success, but lower individual feelings of responsibility for outcome. (CMV)

Explores different measures of performance in a complex management game and suggests how these measures can be used to motivate learning and evaluate performance. (Author)

The present monte carlo simulation study was designed to examine the effects of multidimensionality during the administration of computerized adaptive testing (CAT). It was assumed that multidimensionality existed in the individuals to whom test items were being administered, i.e., that the correct or incorrect responses given by an individual…

Reports on a University of Michigan project that developed and evaluated programed materials that would help library science graduate students become acquainted with representative reference materials and learn through simulated situations how to meet the informational needs of patrons; includes methods, schedules, findings, and analysis.…

This report documents the technology initiatives of the Center for Research on Evaluation, Standards, and Student Testing (CRESST) in two broad areas: (1) using technology to improve the quality, utility, and feasibility of existing measures; and (2) using technology to design and develop new assessments and measurement approaches available…

The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…

Enrollment simulation and planning (ESP) is centered on the use of statistical models to describe how and why college enrollments fluctuate. College planners may use this approach with confidence to simulate any number of plausible future scenarios. Planners can then set a variety of possible college actions against these scenarios, and examine…