The purpose of this paper is to review some of the key literature on response time as it has played a role in cognitive ability measurement, providing a historical perspective as well as covering current research. We discuss the speed-level distinction, dimensions of speed and level in cognitive abilities frameworks, speed–accuracy tradeoff, approaches to addressing speed–accuracy tradeoff, analysis methods, particularly item response theory-based, response time models from cognitive psychology (ex-Gaussian function, and the diffusion model), and other uses of response time in testing besides ability measurement. We discuss several new methods that can be used to provide greater insight into the speed and level aspects of cognitive ability and speed–accuracy tradeoff decisions. These include item-level time limits, the use of feedback (e.g., CUSUMs), explicit scoring rules that combine speed and accuracy information (e.g., count down timing), and cognitive psychology models. We also review some of the key psychometric advances in modeling speed and level, which combine speed and ability measurement, address speed–accuracy tradeoff, allow for distinctions between response times on items responded to correctly and incorrectly, and integrate psychometrics with information-processing modeling. We suggest that the application of these models and tools is likely to advance both the science and measurement of human abilities for theory and applications.

We reviewed the literature on "noncognitive" predictors-specifically, personality as it pertains to graduate education. The review is divided into 3 sections. In the first section, we reviewed measures typically used in studies of graduate school outcomes, such as attrition and time to degree. We also reviewed which student qualities faculty and administrators said they desired and cultivated in graduate programs. We also noted that there are many qualities faculty ranked high in desirability but which could only imperfectly be gleaned from sources such as letters of recommendation and personal statements. In the second section, we reviewed general personality factors (e.g., the "Big Five"), specifically, definitions, measures, correlates, and the validity of those measures. We concluded with a discussion of how personality factors might be used in admissions and guidance applications for graduate education.

This article concerns how noncognitive constructs—personality and motivation—can be assessed and developed to increase students' readiness for college. We propose a general framework to account for personality and motivational differences between students. We review numerous studies showing that personality and motivational factors are related to educational outcomes, from early childhood to adulthood. We discuss various methods for assessing noncognitive factors, ranging from self‐assessments to performance tests. We consider data showing that personality and motivation change over time and find that particular interventions have proven successful in changing particular personality facets, leading to increased achievement. In a final section we propose a strategy for implementing a comprehensive psychosocial skills assessment in middle and high school, which would include setting proficiency standards and providing remedial instruction.