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.
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"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 2016-01-05)
"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 Human Resource Management, King’s College, London 2016-01-06)
"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 2016-01-25)
"This is a good introduction to an increasingly important topic for HR professionals. It is clearly laid out and is presented with a good mix of text and visuals in the form of screen shots, tables and diagrams....Of the various books explaining quantitative data analysis that I have read, this one is the easiest to follow and the most directly related to practical HR analytics....This is an excellent book which I would unreservedly recommend to both HR professionals and students." (Karen Trem for the CMI Management and Consulting Book Club 2017-02-10)
Shows how to use predictive analysis with HR metrics, whether analysing the data themselves or employing external consultants
Helps develop skills in presenting the data and linking it to organizational strategy, demonstrating the value of the HR function to the company's bottom line
Includes case studies of particular types of predictive models including diversity analysis, predicting turnover, evaluating interventions and predicting performance
Online resources: Excel files and SPSS data files for working through the case study examples
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