Despite substantial evidence for the link between an individual's intelligence and successful life outcomes, questions about what defines intelligence have remained the focus of heated dispute. The most common approach to understanding intelligence has been to investigate what performance on tests of intellect is and is not associated with. This…

Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…

Cognitive Diagnostic Assessment (CDA) is a type of educational assessment that is designed to measure specific knowledge structures and processing skills in students so as to provide information about their cognitive strengths and weaknesses (Leighton & Gierl, 2007). CDA has been instrumental in turning the attention of practitioners to more…

The two featured articles and eight commentaries on the WISC-IV (Wechsler, 2003) and WAIS-IV (Wechsler, 2008) in this special issue of "Journal of Psychoeducational Assessment" are of exceptional quality. As a collective, this special issue greatly advances the field of cognitive assessment by intelligently synthesizing the best of…

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…

The intervention validity of cognitive assessment batteries is considered within an historical context to identify what the evidence supports (knowns), what cannot be known (unknowables), and what is not yet known (unknowns). Two ways cognitive batteries could inform intervention are identified: a disordinal (i.e., aptitude-treatment interaction)…

Modern factor analysis is the outgrowth of Spearman's original "2-factor" model of intelligence, according to which a mental test score is regarded as the sum of a general factor and a specific factor. As early as 1914, Godfrey Thomson realized that the data did not require this interpretation and he demonstrated this by proposing what became…

The "Approaches to Studying Inventory" (ASI) was based on qualitative research by Marton and Saljo, which established "surface" and "deep" approaches to study. This article attempts a new qualitative explication of the meanings of study. A heuristic due to Husserl is employed which distinguishes between the "noema", the "subjective object" of…

The purpose of this paper is to describe the logic and identify key assumptions associated with making cognitive inferences using two attribute-based psychometric methods. The first method is Kikumi Tatsuoka's rule-space model. This model provides a strong point of reference for studying the nature of diagnostic inferences because it is important…

The article presents the feature sampling signal detection (FS-SDT) model, an extension of the multivariate signal detection (SDT) model. The FS-SDT model assumes that, because of attentional shifts, different subsets of features are sampled for different presentations of the same multidimensional stimulus. Contrary to the SDT model, the FS-SDT…

The article describes an approach to cognitive assessment of disabled readers synthesizing traditional psychometric with recent information-processing methods. Guidelines for using information-processing measures are also provided. (Author/DB)

On the occasion of Psychometrika's fiftieth anniversary, the past twenty-five years' developments in mental test theory are reviewed. Psychometrika articles treating topics in test theory are listed in a bibliography. (Author/LMO)

The simple practice effects commonly observed when retaking general cognitive ability tests present a potential paradox. If observed score changes reflect real changes in g, we must revisit our understanding of its stability. Conversely, if observed score changes reflect something other than a true change in the underlying latent construct, this…

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…

Reviews psychometric approaches to problems of modeling student achievement (the student model) within intelligent tutoring systems (ITS). A number of cognitively oriented psychometric approaches, including latent-trait models, statistical pattern recognition methods, and causal probabilistic networks are described and discussed within the current…