Includes bibliographical references and index.

"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."-- Provided by publisher.

"Where other functions of an organization deal in profits, sales growth and forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of technical know-how, despite the fact that in reality the management of such things may often require a lot of measurement and technical skill. Predictive HR Analytics: Mastering the HR Metric provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking the reader through examples of particular predictive models. When dealing with HR metrics, management information and HR analytics, HR practitioners rarely use any advanced statistical techniques to make the most of the data they have. This book will show the reader step-by-step, using simple terms, how to carry out the analysis (using the statistical package SPSS) and how to interpret the results, helping them to communicate the potential of HR analytics and get the most out of their HR function, whether they are carrying out the analysis themselves or briefing external consultants. Predictive HR Analytics: Mastering the HR Metric will help HR professionals to deliver a credible and reliable service to the businesses that they support by providing metrics on which executives will be able to make sound business decisions"-- Provided by publisher.

Section -- 01: Understanding HR analytics; Section -- 02: HR information systems and data; Section -- 03: Analysis strategies; Section -- 04: Case study 1: Diversity analytics; Section -- 05: Case study 2: Employee attitude surveys engagement and workforce perceptions; Section -- 06: Case study 3: Predicting employee turnover; Section -- 07: Case study 4: Predicting employee performance; Section -- 08: Case study 5: Recruitment and selection analytics; Section -- 09: Case study 6: Monitoring the impact of interventions; Section -- 10: Business applications: Scenario modelling and business cases; Section -- 11: More advanced HR analytic techniques; Section -- 12: Reflection on HR analytics: Usage, ethics and limitations.

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