This article proposes an item response theory (IRT) approach to constructing and scoring multidimensional pairwise preference items. Individual statements are administered and calibrated using a unidimensional single-stimulus model. Tests are created by combining multidimensional items with a small number of unidimensional pairings needed to…

The use of first and second person pronouns is an important indicator of how audiences are conceptualized by speakers and writers in academic discourse. Several grammarians and linguists have studied more or less specifically this part of the English language. Two of the most widely discussed aspects of pronouns are their reference and their…

In response to public demands for better-quality high school graduates and to requirements of No Child Left Behind legislation, states have developed a variety of policies such as high-stakes exit exams and diploma options. Additionally, under the Individuals with Disabilities Education Act Amendments of 1997, students with disabilities must be…

During the 2009-2010 school year, Marzano Research Laboratory (MRL) was commissioned by Promethean Ltd. to conduct a second year evaluation study of the effects of Promethean ActivClassroom on student academic achievement. This report describes the findings from the second year study along with aggregate findings from the first and second year…

R. J. Owen (1975) proposed an approximate empirical Bayes procedure for item selection in adaptive testing. The procedure replaces the true posterior by a normal approximation with closed-form expressions for its first two moments. This approximation was necessary to minimize the computational complexity involved in a fully Bayesian approach, but…

This report describes new statistical procedures for item response analysis using estimation of item response curves used in mental testing with ability parameters treated as a random sample. Modern computer technology and the EM algorithm make this solution possible. The research focused on the theoretical formulation and solution of maximum…

The incremental validity of the analytical measure of the revised Graduate Record Examination (GRE) General Test, for predicting first-year graduate grade-point average (GPA), was assessed using data submitted to the GRE Validity Study Service between March 1983 and November 1984. All selected students had data for the three General Test measures…

The purpose of this study was to identify the optimal graduate school admission policy for a medium size state university. The techniques used were Bayesian and cost-benefit decision analysis. Standardized test results, personal interviews with university administrators, and performance of graduate students provide the data necessary for…

The feasibility and effectiveness of a Bayesian method for estimating regressions in m groups is studied by application of the method to data from the Basic Research Service of The American College Testing Program. Evidence supports the belief that in many testing applications the collateral information obtained from each subset of m-1 colleges…

A numerical procedure is outlined for obtaining an interval estimate of a parameter in an empirical Bayes estimation problem. The case where each observed value x has a binomial distribution, conditional on a parameter zeta, is the only case considered. For each x, the parameter estimated is the expected value of zeta given x. The main purpose is…

Assuming vectors of item responses depend on ability through a fully specified item response model, this paper presents maximum likelihood equations for estimating the population parameters without estimating an ability parameter for each subject. Asymptotic standard errors, tests of fit, computing approximations, and details of four special cases…

New theory and practice in testing is replacing the standard test by the test item bank and classical test theory by item response theory. Eight papers and a commentary are presented in this special issue concerning test item banking. (SLD)

Bayesian Johnson-Neyman methodology was used to investigate differential prediction by race in U.S. Air Force training programs. Meaningful differences were found in eight of nine comparisons. The setting of the cutting scores had an effect on whether the bias was positive or negative for Blacks. (Author/GDC)

The challenges of modeling students' performance in simulation-based assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance in a complex assessment. This paper describes a Bayesian approach to modeling and estimating…

Discusses eight computer assisted planning models that are amenable to the improvement of decisionmaking; explains the feasibility of involving systems analysis and operations research in educational decisions; and suggests a minimal program designed to prepare educational planners with knowledge of computer assisted planning models. (Author/JF)