Predictive HR analytics: mastering the HR metric

By:

Edwards, Martin R

Contributor(s):

Edwards, Kirsten [Co-author]

Material type: Text

TextPublication details: Kogan Page 2019 New YorkEdition: 2ndDescription: xiii, 515 p. Includes bibliographical references and indexISBN:

9780749484446

Subject(s):

DDC classification:

658.30015195 E2P7

Summary: 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. https://www.koganpage.com/product/predictive-hr-analytics-9780749484446

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Book	Ahmedabad General Stacks	Non-fiction	658.30015195 E2P7 (Browse shelf(Opens below))		Available	201193
Book	Amritsar		658.30015195 (Browse shelf(Opens below))		Available	IIMASR-01698
Book	Bodh Gaya General Stacks	HR&OB	658.3 EDW (Browse shelf(Opens below))	1	Available	IIMG-000955
Book	Jammu General Stacks	Non-fiction	658.301 EDW (Browse shelf(Opens below))		Available	IIMJ-5307

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Previous	658.3 DES Human resource management	658.3 DOW International human resource management	658.3 DUB Human relations: interpersonal job-oriented skills	658.3 EDW Predictive HR analytics: mastering the HR metric	658.3 GUP A textbook of organisational behaviour: with text and cases	658.3 HAR Handbook of research in international human resources /	658.3 HAR Introduction to HR technologies: understand how to use technology to improve performance and processes	Next

Table of contents

Chapter - 01: Understanding HR analytics
Chapter - 02: HR information systems and data
Chapter - 03: Analysis strategies
Chapter - 04: Case study 1 – Diversity analytics
Chapter - 05: Case study 2 – Employee attitude surveys – engagement and workforce perceptions
Chapter - 06: Case study 3 – Predicting employee turnover
Chapter - 07: Case study 4 – Predicting employee performance
Chapter - 08: Case study 5 – Recruitment and selection analytics
Chapter - 09: Case study 6 – Monitoring the impact of interventions
Chapter - 10: Business applications – Scenario modelling and business cases
Chapter - 11: More advanced HR analytic techniques
Chapter - 12: Reflection on HR analytics – Usage, ethics and limitations
Chapter - 13: Appendix R

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.

https://www.koganpage.com/product/predictive-hr-analytics-9780749484446

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