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This volume presents the first wide-ranging critical review of validity generalization (VG)--a method that has dominated the field since the publication of Schmidt and Hunter's (1977) paper "Development of a General Solution to the Problem of Validity Generalization." This paper and the work that followed had a profound impact on the science and practice of applied psychology. The research suggests that fundamental relationships among tests and criteria, and the constructs they represent are simpler and more regular than they appear. Looking at the history of the VG model and its impact on personnel psychology, top scholars and leading researchers of the field review the accomplishments of the model, as well as the continuing controversies. Several chapters significantly extend the maximum likelihood estimation with existing models for meta analysis and VG. Reviewing 25 years of progress in the field, this volume shows how the model can be extended and applied to new problems and domains. This book will be important to researchers and graduate students in the areas of industrial organizational psychology and statistics.
Organizations of all sizes face the challenge of accurately and fairly evaluating performance in the workplace. Performance Appraisal and Management distills the best available research for and translate those findings into practical, concrete strategies. This text explores common obstacles and why certain performance appraisal methods often result in failures. Using a strategic, evidence-based approach, the authors outline best practices for avoiding common pitfalls and helping organizations achieve their maximum potential. Cases, exercise, and spotlight boxes on timely issues like cyberbullying in the workplace and appraising team performance provides readers with opportunities to hone their critical thinking and decision making skills.
This supplement text deals with the difficult issues of how to measure honesty in the workplace and why it should be monitored. The author has pulled together the thoughts of researchers, consultants, educators and managers on the many facets of employee honesty and presents an overview of the field.
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developm...
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Once known as "hyperactivity" and thought to occur only in children, Attention Deficit Disorder is now proving to be a serious neurobiological condition, which affects millions of adults across the country. In Out of the Fog, Dr. Kevin R. Murphy, Chief of the Adult Attention Deficit Hyperactivity Disorder Clinic at the University of Massachusetts Medical Center, and medical writer Suzanne LeVert give adult ADD patients and their families everything they need to understand and live with ADD, including practical advice on how to cope with its symptoms and current methods for treating this often debilitating condition. In this lively, accessible guide you'll also find: the latest medical information on drug therapy and other treatment breakthroughs psychological insight into the emotional fallout from ADD and how to handle it helpful tips on how to tame the "organizational devil" and improve communication skills strategies for coping with ADD in the workplace and in relationships Reassuring and authoritative, Out of the Fog is the definitive handbook no one affected by ADD should be without.
Based on a previous book by the same authors, Understanding Performance Appraisal delineates a social-psychological model of the appraisal process that emphasizes the goals pursued by raters, ratees, and the various users of performance appraisal. The authors apply this goal-oriented perspective to developing, implementing, and evaluating performance appraisal systems. This perspective also emphasizes the context in which appraisal occurs and demonstrates that the shortcomings of performance appraisal are in fact sensible adaptations to its various requirements, pressures, and demands. Relevant research is summarized and recommendations are offered for future research and applications. Graduate-level students, organizational development consultants and trainers, human resource managers, faculty and scholars, and psychologists in human resource management as well as other professionals who conduct research on performance appraisal programs will find this book not only interesting but also a valuable resource.
This book clearly and accurately reflects the current field of psychological testing. It focuses on the use of psychological tests to make important decisions about individuals in a variety of settings. Exploring the theory, methods, and applications of psychological testing, it provides a full and fair evaluation of the advantages and drawbacks of psychological testing in general and selected tests in particular. Chapter topics include expansive coverage of neuropsychological testing; the impact of testing on society; application of psychological tests in the contexts of education, industry, and clinical settings; computerized test administration and interpretation; consistency of test scores; the process of test development; ability, interest, and personality testing; and clinical applications and assessment. For individuals interested in the latest research available and sometimes controversial issues involved in psychological testing and measurement.
This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine: *the sample size needed to achieve desired levels of power; *the level of power that is needed in a study; *the size of effect that can be reliably detected by a study; and *sensible criteria for statistical significance. Highlig...