Predictive HR Analytics: Mastering the HR Metric

$26.74
1 in stock

Pickup available at Bookstore (Hours: Open Everyday, 8 am to 4 pm)

Usually ready in 24 hours


About this item

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.
ASIN: 0749484446
VSKU: DBV.0749484446.G
Condition: Good
Author/Artist:Edwards, Dr Martin|Edwards, Kirsten
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Note on Condition

Most of the items in our store are used. The item's condition grade is indicated near the bottom of the product description. If you have any questions regarding specific details of an item, please contact us. We use the following rating scale:

Books:

  • Used - Very Good: Item may have minor cosmetic defects (marks, wears, cuts, bends, crushes) on the cover, spine, pages or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in listing comments. Item may be missing bundled media. 
  • Used - Good: All pages and cover are intact (including the dust cover, if applicable). Spine may show signs of wear. Pages may include limited notes and highlighting. Gently used ex-library books with library stickers and markings may be classified as good. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. 
  • Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may but the dust cover may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.

CDs/DVDs/Discs:

  • Used - Good: Case may be damaged or come repackaged. Disc may have up to 1.5cm marking but is in great working condition. 
  • Used - Acceptable: A product with extensive external signs of wear, but is in great working condition. The case may be damaged. The cover art, liner, notes, or other inclusion may be marked, or one or all of these items may be missing.
Shipping & Returns

Shipping: Most orders are shipped within 2 business days.

Returns: We want you to be completely satisfied with your purchase. If you're not, you can return your order within 30 days of purchase for a refund.

Fast Shipping

Orders are typically processed and shipped within 2 days

Competitive Pricing

We've streamlined our processes to provide competitive prices on all our titles

Exceptional Customer Service

Our dedicated team is committed to providing outstanding customer support