000			01807nam a22002057a 4500
999			_c119 _d119
005			20220425163503.0
008			190824b ||||| |||| 00| 0 eng d
020			_a9780749473914
082			_a658.3 _bEDW
100			_aEdwards, Martin R. _9447
245			_aPredictive HR analytics: mastering the HR metric
260			_bKogan Page Limited _aLondon _c2016
300			_axiii, 457 p.
365			_aGBP _b29.99
520			_aHR 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
700			_aEdwards, Kirsten _9449
942			_2ddc _cBK