- Offers a detailed yet accessible guide to understanding and working with people analytics and advanced statistical techniques
- Contains numerous worked examples of analyses of various forms of HR data - such as employee engagement, performance and turnover - which are supported by SPSS screenshots and online datasets
- Shows how to use the results of such analyses to enable practitioners to develop effective evidence-based HR strategies
- New to this edition: new material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using Kaplan Meier Survival analyses for tenure/turnover modelling, a new appendix showing main R coding for the focal analyses approaches in the book and updated screenshots and examples with SPSS version 25
- Online resources: SPSS and Excel data sets and R syntax with worked case study examples
Predictive HR Analytics
Mastering the HR Metric
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
Key features at a glance
EAN: 9780749484446
Edition: 2
Published:
Format: 241x171
536 pages
About the book
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.
About the authors
Martin R Edwards is Reader in HRM and Organizational Psychology at King's Business School, King's College London. He has taught statistics to undergraduate, postgraduate and PhD students for over 15 years and also teaches HR analytics to MSc students. As a consultant, he has delivered HR analytics workshops to FTSE-100 companies.
Kirsten Edwards is HR Lead for Advanced Analytics and Data Science at Rio Tinto and has over 20 years' broad international experience in analytics, HR and management consulting. She is a visiting lecturer at Kent Business School and at King's Business School.
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!
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