Winfred Arthur, Jr. – författare

Skill and knowledge retention is a major issue and concern in learning and skill acquisition, especially when trained or acquired skills (or knowledge) are needed after long periods of nonuse. The goal of this book is to summarize and advance the thinking of critical issues related to skill retention and decay in the context of individual and team training on complex tasks. This volume will be of interest to researchers and practitioners in the fields of industrial and organizational psychology, human factors, organizational behavior, and human resources management.

Skill and knowledge retention is a major issue and concern in learning and skill acquisition, especially when trained or acquired skills (or knowledge) are needed after long periods of nonuse. The goal of this book is to summarize and advance the thinking of critical issues related to skill retention and decay in the context of individual and team training on complex tasks. This volume will be of interest to researchers and practitioners in the fields of industrial and organizational psychology, human factors, organizational behavior, and human resources management.

Conducting Meta-Analysis Using SAS reviews the meta-analysis statistical procedure and shows the reader how to conduct one using SAS. It presents and illustrates the use of the PROC MEANS procedure in SAS to perform the data computations called for by the two most commonly used meta-analytic procedures, the Hunter & Schmidt and Glassian approaches.This book serves as both an operational guide and user's manual by describing and explaining the meta-analysis procedures and then presenting the appropriate SAS program code for computing the pertinent statistics. The practical, step-by-step instructions quickly prepare the reader to conduct a meta-analysis. Sample programs available on the Web further aid the reader in understanding the material.Intended for researchers, students, instructors, and practitioners interested in conducting a meta-analysis, the presentation of both formulas and their associated SAS program code keeps the reader and user in touch with technical aspects of the meta-analysis process. The book is also appropriate for advanced courses in meta-analysis psychology, education, management, and other applied social and health sciences departments.

Conducting Meta-Analysis Using SAS reviews the meta-analysis statistical procedure and shows the reader how to conduct one using SAS. It presents and illustrates the use of the PROC MEANS procedure in SAS to perform the data computations called for by the two most commonly used meta-analytic procedures, the Hunter & Schmidt and Glassian approaches.This book serves as both an operational guide and user's manual by describing and explaining the meta-analysis procedures and then presenting the appropriate SAS program code for computing the pertinent statistics. The practical, step-by-step instructions quickly prepare the reader to conduct a meta-analysis. Sample programs available on the Web further aid the reader in understanding the material.Intended for researchers, students, instructors, and practitioners interested in conducting a meta-analysis, the presentation of both formulas and their associated SAS program code keeps the reader and user in touch with technical aspects of the meta-analysis process. The book is also appropriate for advanced courses in meta-analysis psychology, education, management, and other applied social and health sciences departments.

The use of tests and assessments in employment-related decision making has the potential to benefit organizations and individuals. However, their use is frequently criticized because of their adverse potential for bias and unfairness. Although issues pertaining to employment testing, bias, and unfairness are extensively researched and written about, previous work has predominately focused on perspectives from the United States. Therefore, the goal of this handbook is to provide a global examination of ideas and issues pertaining to bias and unfairness in employment testing. Specifically, this text details perspectives from twenty-three countries spanning six regions of the globe, on the definition, assessment, and reduction of bias and unfairness in employment testing. In doing so, this work fills a critical gap in the knowledge and information available to employment testing scholars and practitioners who conduct research and practice in an increasingly globalized world.