HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results
to enable them to develop effective evidence-based HR strategies.
This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.
Publisher: Kogan Page Ltd
Number of pages: 536
Weight: 920 g
Dimensions: 240 x 170 x 30 mm
Edition: 2nd Revised edition
"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
"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, Global Industry Analyst and Founder, Bersin by Deloitte