000			01804nam a22002057a 4500
999			_c644 _d644
005			20220329133958.0
008			200929b ||||| |||| 00| 0 eng d
020			_a9780749484446
082			_a658.3 _bEDW
100			_aEdwards, Martin R. _9447
245			_aPredictive HR analytics: mastering the HR metric
250			_a2nd
260			_bKogan Page Limited _aNew York _c2019
300			_axii, 515 p.
365			_aGBP _b34.99
520			_aAbout 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.
650			_aPersonnel management--Statistical methods _9448
650			_aPersonnel management _9410
942			_2ddc _cBK