Compensating Your Employees Fairly

A Guide to Internal Pay Equity

Business & Finance, Management & Leadership, Management Science
Cover of the book Compensating Your Employees Fairly by Stephanie R. Thomas, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Stephanie R. Thomas ISBN: 9781430250425
Publisher: Apress Publication: October 5, 2013
Imprint: Apress Language: English
Author: Stephanie R. Thomas
ISBN: 9781430250425
Publisher: Apress
Publication: October 5, 2013
Imprint: Apress
Language: English

Compensation fairness is a universal preoccupation in today’s workplace, from whispers around the water cooler to kabuki in the C-suite. Gender discrimination takes center stage in discussions of internal pay equity, but many other protected characteristics may be invoked as grounds for alleging discrimination: age, race, disability, physical appearance, and more. This broad range of vulnerability to discrimination charges is often neglected in corporate assessments of how well compensation systems comply with the law and satisfy employee norms of fairness. Blind spots in general equity constitute a serious threat to organizational performance and risk management. In Compensating Your Employees Fairly, a respected practitioner and consultant lays out in practical terms everything you need to know to protect your company along the full spectrum of internal pay equity issues, including all the technical methods you need to optimize compliance and minimize risk.

Compensating Your Employees Fairly is a timely survey and comprehensive handbook for compensation specialists, HR professionals, EEO compliance officers, and in-house counsel. It provides all the information you need to ensure that compensation systems are equitable, auditable, internally consistent, and externally compliant with equal employment opportunity laws and regulations. The author presents technical information—both legal and statistical—in common-sense terms. Her non-technical breakdown of complex statistical concepts distills just as much as practitioners need to know in order to effectively deploy and interpret the standard applications of statistical analysis to internal pay equity. The focus throughout the book is on real-world application, current examples, and up-to-the-minute information on recent and pending wrinkles in the evolving legal landscape.

Readers of Compensating Your Employees Fairly will learn: 

  • Why internal equity in compensation matters
  • How to detect intentional and non-intentional discrimination in compensation
  • The basics of statistical inference and multiple regression analysis
  • The essentials of data availability, measurability, and collection
  • The criteria for assessing compensation systems for internal equity
  • How to investigate potential problems and react to formal complaints and actions
  • How to avoid litigation and put in place ongoing measures for proactive self-auditing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Compensation fairness is a universal preoccupation in today’s workplace, from whispers around the water cooler to kabuki in the C-suite. Gender discrimination takes center stage in discussions of internal pay equity, but many other protected characteristics may be invoked as grounds for alleging discrimination: age, race, disability, physical appearance, and more. This broad range of vulnerability to discrimination charges is often neglected in corporate assessments of how well compensation systems comply with the law and satisfy employee norms of fairness. Blind spots in general equity constitute a serious threat to organizational performance and risk management. In Compensating Your Employees Fairly, a respected practitioner and consultant lays out in practical terms everything you need to know to protect your company along the full spectrum of internal pay equity issues, including all the technical methods you need to optimize compliance and minimize risk.

Compensating Your Employees Fairly is a timely survey and comprehensive handbook for compensation specialists, HR professionals, EEO compliance officers, and in-house counsel. It provides all the information you need to ensure that compensation systems are equitable, auditable, internally consistent, and externally compliant with equal employment opportunity laws and regulations. The author presents technical information—both legal and statistical—in common-sense terms. Her non-technical breakdown of complex statistical concepts distills just as much as practitioners need to know in order to effectively deploy and interpret the standard applications of statistical analysis to internal pay equity. The focus throughout the book is on real-world application, current examples, and up-to-the-minute information on recent and pending wrinkles in the evolving legal landscape.

Readers of Compensating Your Employees Fairly will learn: 

More books from Apress

Cover of the book Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition by Stephanie R. Thomas
Cover of the book Pro Freeware and Open Source Solutions for Business by Stephanie R. Thomas
Cover of the book Troubleshooting Windows Server with PowerShell by Stephanie R. Thomas
Cover of the book Oracle High Availability, Disaster Recovery, and Cloud Services by Stephanie R. Thomas
Cover of the book tmux Taster by Stephanie R. Thomas
Cover of the book Design Thinking for Entrepreneurs and Small Businesses by Stephanie R. Thomas
Cover of the book Joomla! 3 SEO and Performance by Stephanie R. Thomas
Cover of the book Python Algorithms by Stephanie R. Thomas
Cover of the book Using Mac OS X Mavericks by Stephanie R. Thomas
Cover of the book Beginning Hibernate by Stephanie R. Thomas
Cover of the book Beginning Oracle SQL by Stephanie R. Thomas
Cover of the book Pro Spring by Stephanie R. Thomas
Cover of the book Spring REST by Stephanie R. Thomas
Cover of the book Product Management Essentials by Stephanie R. Thomas
Cover of the book Linux Sound Programming by Stephanie R. Thomas
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy