This book is a testament to the increasing role and importance of multiple source use in everyday and academic literacy activities in the 21st century. How should we introduce the topic of multiple sources here? For most readers, we need not, because this chapter is not their first literacy stop in the volume, so the topic has been adequately…

Much recent psychometric literature has focused on cognitive diagnosis models (CDMs), a promising class of instruments used to measure the strengths and weaknesses of examinees. This article introduces a genetic algorithm to perform automated test assembly alongside CDMs. The algorithm is flexible in that it can be applied whether the goal is to…

Marked gender differences in three-dimensional mental rotation have been broadly reported in the literature in the last few decades. Various theoretical models and accounts were used to explain the observed differences. Within the framework of linking item design features of mental rotation tasks to cognitive component processes associated with…

This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models…

Though the most widely used "Intelligence" tests have changed little in the last half century, the author predicts a variety of new influences of future intelligence testing, ranging from the ways we conceptualize intelligence, to the manner in which we pose problems to assess it. (Author/JAZ)

Our research question was whether we could develop a feasible technique, using Bayesian networks, to diagnose gaps in student knowledge. Thirty-four college-age participants completed tasks designed to measure conceptual knowledge, procedural knowledge, and problem-solving skills related to circuit analysis. A Bayesian network was used to model…

Three developments over the past 15 years--our understanding of cognition, new techniques in technical psychometrics, and the computer explosion--form the basis for a proposal for new intelligence tests. These developments are reviewed, and both leaps and steps in intellectual assessment are proposed. (Author/RD)

This paper considers the feasibility of incorporating research results from cognitive science into the modeling of performance on psychometric tests and the construction of test items. The paper focuses on the feasibility of modeling performance on a three-dimensional rotation task within the context of Item Response Theory (IRT). To test the…

There are economic advantages in using microcomputers as automated testing stations for measuring aptitude and intelligence. Microcomputers also make it possible to expand and modify testing procedures for psychological functions included in conventional tests and to test psychological functions not generally assessed by conventional tests, such…

This report summarizes the results of research designed to study the psychometric and technological feasibility of adaptive testing to assess spatial ability. Data was collected from high school students on two types of spatial items: three-dimensional cubes and hidden figure items. The analysis of the three-dimensional cubes focused on the fit of…

The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…

A pilot study on the development and administration of a test using a spatial reasoning problem, the 15-puzzle, is described. The test utilizes on-line capabilities of a real-time computer to record an examinee's progress on each problem through a sequence of problem-solving "moves", and to collect additional on-line data that might be…