Predictive HR analytics: mastering the HR metric (Record no. 119)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01807nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220425163503.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190824b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780749473914 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.3 |
| Item number | EDW |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Edwards, Martin R. |
| 245 ## - TITLE STATEMENT | |
| Title | Predictive HR analytics: mastering the HR metric |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Kogan Page Limited |
| Place of publication, distribution, etc. | London |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 457 p. |
| 365 ## - TRADE PRICE | |
| Price type code | GBP |
| Price amount | 29.99 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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 <br/>to enable them to develop effective evidence-based HR strategies.<br/><br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Personnel management--Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Personnel management |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Edwards, Kirsten |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type | Bill No | Bill Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Operations Management & Quantitative Techniques | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 06/10/2019 | Bharat Book Distributors | 1880.73 | 658.3 EDW | 000499 | 08/24/2019 | 1 | 2807.06 | 08/24/2019 | Book | 19-20/7424 | 06-06-2019 |