Mastering the HR Metric
HR metrics and organizational people-related data are an invaluable source of information from which to identify key trends and patterns in order to make effective business decisions. HR practitioners often, however, lack the statistical and analytical know-how to fully harness their potential. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics and advanced statistical techniques. Step-by-step and by using worked examples, this book shows readers how to carry out and interpret analyses of various forms of HR data, such as employee engagement, performance and turnover, using the statistical packages SPSS and R, and, importantly, how to use the results to enable practitioners to develop effective evidence-based HR strategies. This second edition has been updated to include a new chapter on Talent Analytics, guidance on data protection considerations, a new case study on gender pay gap reporting, as well as R coding and updated SPSS examples. Online supporting resources include data sets and additional worked case study examples.
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