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While other departments in an organization deal with profits, sales growth, and strategic planning, Human Resources (HR) is responsible for employee well-being, engagement, and staff motivation.� Even though it may not be immediately obvious, the management of these duties often requires a great deal of measurement and technical skill. Predictive HR Analytics provides a clear and accessible framework to understanding and learning to work with HR analytics at an advanced level, using examples of particular predictive models, such as diversity analysis, predicting turnover, evaluating interventions, and predicting performance.
When dealing with metrics, management information, and analytics, HR practitioners rarely use any advanced statistical techniques or go beyond describing the characteristics of the workforce.� Authors Martin Edwards and Kirsten Edwards explain the business applications of HR predictive models; the ethics and limitations of HR analytics; how to carry out an analysis; predict turnover, performance, recruiting, and selection outcomes; and monitor the impact of interventions.
- Sales Rank: #295823 in Books
- Published on: 2016-03-28
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .98" w x 6.00" l, 2.20 pounds
- Binding: Paperback
- 472 pages
Review
"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."
(David Guest, Professor of Organizational Psychology and HRM King’s College, London)
"Predictive HR Analytics is a comprehensive and detailed guide for any professional interested in this exciting new field. The book will help you understand what data to analyze, how to interpret and analyze the data, and how different types of models work. Highly recommended for people analytics specialists!"
(Josh Bersin, Industry Analyst, Principal and Founder Bersin by Deloitte)
"I'm definitely going to buy a hard copy for myself and my coworkers. Having just started in the field of HR analytics, I've been reading a lot about the considerations. This is the first book I've come across so far that uses SPSS with detailed examples of when to use what methods. This is just what I was looking for-- the HR metrics commonly looked at, the statistics used in that situation, and screenshots of the software."
(Goodreads user)
"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 of Pearn Kandola)
About the Author
Martin R. Edwards teaches HRM and Organizational Psychology at King's College London. He has run many HR analytic workshops with companies including AstraZeneca, advised on employee engagement surveys, and run multiple employee attitude surveys.
Kirsten Edwards is a Diversity Specialist at Pearn Kandola, a business psychology consulting company specializing in diversity, assessment, and development.� She has taught diversity and inclusion at Kings College London and the University of Kent.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Beneficial
By Autamme_dot_com
This is a specialist book, for a specialist audience about a fairly important and fascinating subject, namely analysing the performance of a company’s human resources (HR) and its HR department.
The routine activities of HR are well known, yet recording their activities and the makeup of a company is less-so. Modern day activities such as diversity analysis, employee turnover and predictive employee turnover are, or should be, increasingly relevant, especially to the larger enterprise.
In the right hands, the reader should be able to get a better understanding of how to gather, analyse and interpret HR data for the benefit of the company-at-large. It is not a “Big Brother” approach, recording ever minor transgression such as timekeeping or comments made on social media. There is nothing here that an employee needs to fear.
This book seeks to provide a means to using statistical modelling and analytical techniques. It is a heavy-read, despite being fairly accessible and well-written, due to the nature of the information under discussion. Nothing is left to chance, the book starts with an introduction to predictive HR analytics and explains gathering HR data and converting it into a usable format. Use of the statistical analysis program SPSS is necessary and the authors explain how to use this powerful, yet often bewildering program, for the specific purpose of HR analytics. No doubt you could use other packages or try and analyse things by hand, yet you’d lose out on a large chunk of this book’s benefit in the process. Focus is then given to specific user case examples, providing a real hands-on opportunity to uses such as diversity, employee attitude and engagement, employee turnover, employee performance, recruitment and selection and even impact interventions. Sample data is provided to let the reader “try it for themselves” and see how everything works and goes together.
There is a lot of theory, this is unavoidable, but it is still fairly clear and easy to follow. You just need to assign time to really focus on this stuff, if you don’t already live and breathe the subject.
The benefits are clear, the pathway to getting them is fairly understandable. It just needs a fair bit of hard work and focus along the way. If you are in the need for a book like this, this is a potential Godsend. Even if you don’t, it can be strangely interesting and compelling… or this reviewer is just a bit too nerdy for his own good!
1 of 1 people found the following review helpful.
Best HR analytic book
By Leeankuo
While this book may require the reader to be comfortable statistics concept to really appreciate the value, I find the author did a GREAT job link analytical technique and HR domain knowledge.
It has many relevant cases for you to get your hands dirty.
This probably should be your first HR analytic book but it can be your last if you master the content.
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