This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams.

The history of testing mental abilities has seen the dominance of two contrasting approaches, psychometrics and neuropsychology. These two traditions have different theories and methodologies, but overlap considerably in the tests they use. Historically, psychometrics has emphasized the primacy of a general factor, while neuropsychology has emphasized specific abilities that are dissociable. This issue about the nature of human mental abilities is important for many practical concerns. Questions such as gender, ethnic, and age-related differences in mental abilities are relatively easy to address if they are due to a single dominant trait. Presumably such a trait can be measured with any collection of complex cognitive tests. If there are many specific mental abilities, these would be much harder to measure and associated social issues would be more difficult to resolve. The relative importance of general and specific abilities also has implications for educational practices. This book includes the diverse opinions of experts from several fields including psychometrics, neuropsychology, speech language and hearing, and applied psychology.

More than a traditional study guide, the Student Workbook--written by Katherine Nicolai of Rockhurst University--truly helps students understand the connections between abstract measurement concepts and the development, evaluation, selection, and use of psychological tests in the real world. The Student Workbook contains interesting hands-on exercises and assignments, including case studies to critique, test profiles to interpret, and studies on the psychometric properties of tests to evaluate. Of course, the Student Workbook also contains traditional features such as chapter outlines and practice multiple-choice quizzes. Best of all, the workbook is presented in a three-ring binder in which students can keep other course notes and handouts. Students will discover that the Student Workbook will help them organize their study of Kaplan and Saccuzzo's text and excel on course exams, assignments, and projects!

This approachable, interdisciplinary text reflects the author's twenty-plus years of experience in the substance abuse field. Comprehensive and broad in its scope, the book parallels the practice process with substance abuse clients, offering a four-stage organization (an overview that includes theoretical foundations, pharmacology, and models; client engagement; screening and assessment; and treatment) that walks students through this process. The book's highly applied nature ensures that students will find an abundance of specific information they can put to use in daily practice.

PSYCHOLOGICAL TESTING: PRINCIPLES, APPLICATIONS, AND ISSUES, Ninth Edition explains the fundamentals of psychological testing, their important applications, and the controversies that emerge from those applications in clinical, education, industrial, and legal settings. Kaplan and Saccuzzo's engaging and thorough text demonstrates how psychological tests are constructed and used, both in a professional setting and in everyday lives. Part I focuses on the core concepts that affect the evaluation of all tests. Part II discusses the major types of psychological tests, while Part III looks at present-day issues affecting testing such as stereotype threat, bias, laws, and ethics. A multitude of test profiles and sample items illustrate how psychological testing is used and reported. Real-life case studies demonstrate the uses and misuses of psychological testing, while "Technical Example" boxes help you understand complex statistical concepts.