The amount of data in our world has been exploding, and analyzing large data sets―so called big data―will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

About the Author

Scott Tonidandel is Associate Professor, Department of Psychology, Davidson College, NC. He received his PhD in Industrial Organizational Psychology from Rice University in 2001. He teaches courses in Psychological Research, Design and Analysis, Research Methods and Issues in Psychology. His research includes issues related to computerized testing, and statistical and methodological issues.

Eden B. King is Associate Professor of Industrial Organizational Psychology at George Mason University. She earned her PhD from Rice University in 2006. Her research is mostly in the area of diversity, inclusion, and women in business. She is currently the Associate Editor of the Journal of Management and the Journal of Business and Psychology. She is also on the Editorial Board of the Academy of Management Journal.

Jose M. Cortina, Professor of Industrial Organizational Psychology at George Mason University, is President Elect of SIOP. He received his PhD in psychology from Michigan State University. He serves as Editor of the I-O research methods journal Organizational Research Methods. He has an outstanding publication record and a tremendously high level of visibility in this field.

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