Now with SAGE Publishing! In Applied Psychology in Talent Management, world-renowned authors Wayne F. Cascio and Herman Aguinis provide the most comprehensive, future-oriented overview of psychological theories and how those theories impact people decisions in today's ever-changing workplace. Taking a rigorous, evidence-based approach, the new Eighth Edition includes more than 1,000 new citations from more than 20 top-tier journal articles. The authors emphasize the latest developments in the field-all in the context of historical perspectives. Integrated coverage of technology, strategy, globalization, and social responsibility throughout the text provides students with a holistic view of the field and equips them with the practical tools to create productive, enjoyable work environments.

Virtually everyone is subjected to one form or another of testing. We are tested to get into schools and once we are in schools. We are often tested when we apply for a job and once we get a job. In spite of the pervasiveness and criticality of decisions made based on test scores, testing has been, and continues to be, a source of controversy. Is testing equally fair to "all" people? Are decisions based on tests fair to "all" members of society? Test-score banding is a method to interpret test scores that takes into account the fact that tests used in human resource selection are never perfectly accurate. This book analyzes the use of test-score banding from technical, legal, and societal points of view. It includes controversial arguments in favor and against the use of test-score banding, useful guidelines for practice, and innovative suggestions for research.

For the past decade, organizations have relied on banding to select employees by forming groups of bands of applicants based on their scores on tests, interviews, and any other measure. Because test scores are never perfectly accurate, these bands render applicants within the same band indistinguishable. Secondary criteria, such as ethnicity and gender, then are used to break the tie, allowing organizations to increase diversity by increasing the proportion of employees who are members of underrepresented groups.

Have you ever wondered if birth order effects vary across ethnic groups, or whether a particular clinical intervention is likely to yield dissimilar outcomes for men and women? This book provides practical guidance for using a statistical tool known as moderated multiple regression (MMR) to assess whether the relationship between two quantitative variables is moderated by group membership. Included are discussions and fully worked-out examples of how to conduct and interpret MMR analysis, as well as descriptions of computer programs that can be used to check the accuracy of results. Assuming only a basic knowledge of inferential statistics on the part of the reader, this is an essential hands-on guide for students, researchers, and practitioners. Together with its associated computer programs and data sets (available on the Web), the book will also serve as an invaluable supplemental text in advanced undergraduate statistics and methods courses and in graduate courses addressing the general linear model.