Publisher: Kogan Page Ltd
Number of pages: 536
Weight: 875 g
Dimensions: 238 x 170 x 25 mm
Edition: 2nd Revised edition
"Edwards and Edwards provide an essential roadmap to professionalize how HR analytics is applied in organizations. This book should be required reading for data scientists and HR generalists who need to learn the ropes of applying statistics and social scientific analysis to HR data." * Alec Levenson, Senior Research Scientist at the Center for Effective Organizations, University of Southern California and author of Strategic Analytics and Employee Surveys That Work *
"Predictive HR Analytics is a practical guide for anyone working or interested in the burgeoning field of people analytics. What sets it apart from other books on the topic is that the authors demonstrate how to actually perform the analyses with a variety of HR-related data as well as providing insights on the statistical models that support them. Every people analytics team should own a copy of this book." * David Green, Executive Director at Insight222, Global speaker, writer and consultant on people analytics *
"An essential read for HR leaders and practitioners wishing to deepen their knowledge and capability in predictive analytics. The authors balance the need to present technical concepts and theory with clear and simple solutions to apply within the workplace. This book is full of wisdom for anyone wishing to embrace analytics as a fundamental HR capability." * Caroline van der Feltz, HR Director, Danske Bank UK *
"Finally, a book that students and HR professionals can use to learn how to do HR analytics! Not only do Edwards & Edwards show how to conduct analyses with clear, step by step examples, they show the critical insights that HR analytics can provide." * Fritz Drasgow, Dean of the School of Labor and Employment Relations and Professor of Psychology, University of Illinois at Urbana-Champaign *
"Detailed, precise and clearly written, this book isn't just about statistics; it's about the future of HR. Essential reading for everyone in HR." * Professor Binna Kandola OBE, Business Psychologist, Senior Partner and Co-founder, Pearn Kandola *
"Anyone reading and learning from this book and applying its lessons will be a more effective HR professional. It should certainly become compulsory reading for all HRM students. The authors are to be congratulated on providing a service to the HR community by writing this much needed and timely book." * David Guest, Professor of Organizational Psychology and Human Resource Management, King's College, London *
"At a time when the HR function is facing huge changes and undergoing massive challenges, it is good to see the second edition of this noteworthy book. Whilst many in HR are still coping with reporting on metrics, Edwards and Edwards have updated and expanded their first edition by embracing the latest developments and staying ahead of the curve. This will make a welcome contribution to the knowledge base of academics and practitioners alike." * David Simmonds, Chairman, Hr Analytics Ltd. *
"This book is essential reading for anyone interested in how to actually apply statistical methods to HR data. The book fills an important gap between those that are too technical, making them impenetrable to all but the most experienced statisticians, and books that focus on organizational capability aspect of HR analytics. If you're doing HR analytics you need a copy of this book." * Dr. Nigel Guenole, Exectuive Consultant, IBM, Co-author of The Power of People: Learn how successful organizations use workforce analytics to improve business performance *
"This book is a much-needed, well-researched, informative, and accessible treatment of HR/People Analytics. I highly recommend it for instructors who teach a course on this topic or HR professionals who want to learn on their own. It contains valuable guidance on how to collect and analyze human resource management and operational data to support data driven decision-making." * Dr. Janet Marler, Professor of Management, University at Albany, State University of New York *
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