Predictive HR Analytics: Mastering the HR Metric - Paperback - GOOD

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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Brand
Unbranded
Book Title
Predictive HR Analytics: Mastering the HR Metric
MPN
Does not apply
Topic
HR
ISBN
9780749473914
Subject Area
Business & Economics
Publication Name
Predictive HR Analytics : Mastering the HR Metric
Publisher
Kogan Page, The Limited
Item Length
9.3 in
Subject
Human Resources & Personnel Management, Organizational Development
Publication Year
2016
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1 in
Author
Martin R. Edwards, Kirsten Edwards
Item Weight
24.5 Oz
Item Width
6.2 in
Number of Pages
472 Pages
Category

About this product

Product Identifiers

Publisher
Kogan Page, The Limited
ISBN-10
0749473916
ISBN-13
9780749473914
eBay Product ID (ePID)
219194192

Product Key Features

Number of Pages
472 Pages
Language
English
Publication Name
Predictive HR Analytics : Mastering the HR Metric
Subject
Human Resources & Personnel Management, Organizational Development
Publication Year
2016
Type
Textbook
Subject Area
Business & Economics
Author
Martin R. Edwards, Kirsten Edwards
Format
Trade Paperback

Dimensions

Item Height
1 in
Item Weight
24.5 Oz
Item Length
9.3 in
Item Width
6.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
I'm definitely going to buy a hard copy for myself and my coworkers. Having just started in the field of HR analytics, I've been reading a lot about the considerations. This is the first book I've come across so far that uses SPSS with detailed examples of when to use what methods. This is just what I was looking for-- the HR metrics commonly looked at, the statistics used in that situation, and screenshots of the software., Predictive HR Analytics is a comprehensive and detailed guide for any professional interested in this exciting new field. The book will help you understand what data to analyze, how to interpret and analyze the data, and how different types of models work. Highly recommended for people analytics specialists!
Illustrated
Yes
Dewey Decimal
658.3
Table Of Content
01: Understanding HR Analytics; 02: HR Information Systems and Data; 03: Analysis Strategies; 04: Case Study 1: Diversity Analytics; 05: Case Study 2: Employee Attitude Surveys - Engagement and Workforce Perceptions; 06: Case Study 3: Predicting Employee Turnover; 07: Case Study 4: Predicting Employee Performance; 08: Case Study 5: Recruitment and Selection Analytics; 09: Case Study 6: Monitoring the Impact of Interventions; 10: Business Applications: Scenario Modelling and Business Cases; 11: More Advanced HR Analytic Techniques; 12: Reflection on HR Analytics: Usage, Ethics and Limitations
Synopsis
Confidently use predictive analysis with HR metrics to model employee attitudes, assess attrition risk and more with this book for HR professionals and consultants., Where other functions of an organization deal in profits, sales growth, forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of analytical know-how, despite the fact that in reality the management of such things often requires a lot of measurement and technical skill. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking HR professionals through examples of particular predictive models so they can develop effective HR strategies based on evidence.Predictive HR Analytics will show step-by-step, using simple terms, how to carry out analysis (using the statistical package SPSS) and interpret the results, helping to communicate the potential of HR analytics and get the most out of the HR function, whether carrying out the analysis or briefing external consultants. The book will help deliver a credible and reliable service to businesses by providing metrics on which executives will be able to make sound business decisions. Online supporting resources include data sets for using alongside the book., While other departments in an organization deal with profits, sales growth, and strategic planning, Human Resources (HR) is responsible for employee well-being, engagement, and staff motivation. Even though it may not be immediately obvious, the management of these duties often requires a great deal of measurement and technical skill. Predictive HR Analytics provides a clear and accessible framework to understanding and learning to work with HR analytics at an advanced level, using examples of particular predictive models, such as diversity analysis, predicting turnover, evaluating interventions, and predicting performance. When dealing with metrics, management information, and analytics, HR practitioners rarely use any advanced statistical techniques or go beyond describing the characteristics of the workforce. Authors Martin Edwards and Kirsten Edwards explain the business applications of HR predictive models; the ethics and limitations of HR analytics; how to carry out an analysis; predict turnover, performance, recruiting, and selection outcomes; and monitor the impact of interventions.
LC Classification Number
HF5549

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    Items looked better than in the picture. Fantastic as described condition. Honestly, almost better. Wonderful seller. They arrived really fast. No issues whatsoever. Packaged very well and safely. An excellent value.
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    Thank you so much for quick shipping and accurate description, condition is as described, good quality also love the color and feel. I washed it and put it on my bed and it’s so cozy!. It’s exactly what I hoped it would be! Easy to communicate with ,polite,trustworthy and fair pricing! Hope to purchase from you again in the future! 10/10 recommend this seller!
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    Seller listed item as “new,” then proceeded to ship an item with NO packaging or even tags attached (by eBay definition not “new.”) I tried to message them about this problem and they ignored my email and did not respond. A) inaccurate description B) poor customer service. Shipping was also slow.