Statistical tools and analysis in human resources management

Dipak Kumar Bhattacharyya (Xavier University, India), editor

"This book explores various statistical tools and models that can be used in HR research and HR decision making processes. It covers one specific function of HR and then detail various ways of usage of statistics for meaningful analysis. It details the application of statistics in the chosen area or topic with real life examples"--

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Year of publication:	[2018]
Other Persons:	Bhattacharyya, Dipak Kumar (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Personalmanagement \| Human Resource Management \| Statistische Methode \| Statistical method \| Big Data \| Big data \| Forschung \| Research \| Performance-Messung \| Performance measurement

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Extent:	1 Online-Ressource (xvii, 295 Seiten)
Series:	Advances in human resources management and organizational development (AHRMOD) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Chapter 1. Introduction to HR research using statistics -- Chapter 2. Application of statistics in human resource management -- Chapter 3. Uncovering data for decision making with critical statistical analysis -- Chapter 4. Application of lens model in HRM research: an effective tool for measurement and analysis -- Chapter 5. Application of statistics in HR research -- Chapter 6. Statistics for recruitment and selection -- Chapter 7. Methodological considerations for research in compensation management -- Chapter 8. Measuring the different facets of diversity using quantitative methods -- Chapter 9. Driving employee engagement through data analytics: helping leaders make better people decisions -- Chapter 10. Organizational well-being: a new theoretical model and recommendations for future research -- Chapter 11. Six sigma in human resources: application in the domain function Also available in print.
ISBN:	978-1-5225-4948-2 ; 1-5225-4947-1 ; 978-1-5225-4947-5
Other identifiers:	10.4018/978-1-5225-4947-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393033