John H. Davis

Statistics for Compensation

• Gebundenes Buch

Produktbeschreibung

It is essential for both new and seasoned individuals working with compensation to have a firm understanding of the statistical techniques for making decisions to better attract the kinds of people needed by an organization. Statistics for Compensation is the first book of its kind to focus on the quantitative methodologies that are utilized by compensation and human resources professionals in their everyday work. Serving as a stand-alone reference for practitioners, this book includes clear explanations and step-by-step procedures, as well as various case studies showcasing the topics relevance in today's society.

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An insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work

Across various industries, compensation professionals work to organize and analyze aspects of employment that deal with elements of pay, such as deciding base salary, bonus, and commission provided by an employer to its employees for work performed. Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions.

This self-contained book is the first of its kind to explore the use of various quantitative methods--from basic notions about percents to multiple linear regression--that are used in the management, design, and implementation of powerful compensation strategies. Drawing upon his extensive experience as a consultant, practitioner, and teacher of both statistics and compensation, the author focuses on the usefulness of the techniques and their immediate application to everyday compensation work, thoroughly explaining major areas such as:
Frequency distributions and histograms
Measures of location and variability
Model building
Linear models
Exponential curve models
Maturity curve models
Power models
Market models and salary survey analysis
Linear and exponential integrated market models
Job pricing market models

Throughout the book, rigorous definitions and step-by-step procedures clearly explain and demonstrate how to apply the presented statistical techniques. Each chapter concludes with a set of exercises, and various case studies showcase the topic's real-world relevance. The book also features an extensive glossary of key statistical terms and an appendix with technical details. Data for the examples and practice problems are available in the book and on a related FTP site.

Statistics for Compensation is an excellent reference for compensation professionals, human resources professionals, and other practitioners responsible for any aspect of base pay, incentive pay, sales compensation, and executive compensation in their organizations. It can also serve as a supplement for compensation courses at the upper-undergraduate and graduate levels.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14594334000
• 1. Auflage
• Seitenzahl: 456
• Erscheinungstermin: 3. Mai 2011
• Englisch
• Abmessung: 260mm x 183mm x 29mm
• Gewicht: 1045g
• ISBN-13: 9780470943342
• ISBN-10: 0470943343
• Artikelnr.: 32301928

Autorenporträt

The General Editor of the Statistics without Mathematics series at Vor Press is a researcher and data analyst with experience in government, business and the third sector, who is also well-known as an internationally published author of books on statistical testing.

Inhaltsangabe

Preface. Chapter 1 Introduction. 1.1 Why Do Statistical Analysis? 1.2
Statistics. 1.3 Numbers Raise Issues. 1.4 Behind Every Data Point, There is
a Story. 1.5 Aggressive Inquisitiveness. 1.6 Model Building Framework. 1.7
Data Sets. 1.8 Prerequisites. Chapter 2 Basic Notions. 2.1 Percent. 2.2
Percent Difference. 2.3 Compound Interest. Practice Problems. Chapter 3
Frequency Distributions and Histograms. 3.1 Definitions and Construction.
3.2 Comparing Distributions. 3.3 Information Loss and Comprehensive Gain.
3.4 Category Selection. 3.5 Distribution Shapes. Practice Problems. Chapter
4 Measures of Location. 4.1 Mode. 4.2 Median. 4.3 Mean. 4.4 Trimmed Mean.
4.5 Overall Example and Comparison. 4.6 Weighted and Unweighted Average.
4.7 Simpson's Paradox. 4.8 Percentile. 4.9 Percentile Bars. Practice
Problems. Chapter 5 Measures of Variability. 5.1 Importance of Knowing
Variability. 5.2 Population and Sample. 5.3 Types of Samples. 5.4 Standard
Deviation. 5.5 Coefficient f Variation. 5.6 Range. 5.7 P90/P10. 5.8
Comparison and Summary. Practice Problems. Chapter 6 Model Building. 6.1
Prelude to Models. 6.2 Introduction. 6.3 Scientific Method. 6.4 Models. 6.5
Model Building Process. Practice Problems. Chapter 7 Linear Model. 7.1
Examples. 7.2 Straight Line Basics. 7.3 Fitting the Line to the Data. 7.4
Model Evaluation. 7.5 Summary of Interpretations and Evaluation. 7.6
Cautions. 7.7 Digging Deeper. 7.8 Keep the Horse Before the Cart. Practice
Problems. Chapter 8 Exponential Model. 8.1 Examples. 8.2 Logarithms. 8.3
Exponential Model. 8.4 Model Evaluation. Practice Problems. Chapter 9
Maturity Curve Model. 9.1 Maturity Curves. 9.2 Building the Model. 9.3
Comparison of Models. Practice Problems. Chapter 10 Power Model. 10.1
Building the Model. 10.2 Model Evaluation. Practice Problems. Chapter 11
Market Models and Salary Survey Analysis. 11.1 Introduction. 11.2
Commonalities of Approaches. 11.3 Final Market-Based Salary Increase
Budget. 11.4 Other Factors Influencing the Final Salary Increase Budget
Recommendation. 11.5 Salary Structure. Practice Problems. Chapter 12
Integrated Market Model - Linear. 12.1 Gather Market Data. 12.2 Age Data to
a Common Date. 12.3 Create an Integrated Market Model Interpretations. 12.4
Compare Employee Pay with Market Model. Practice Problems. Chapter 13
Integrated Market Model - Exponential. Practice Problems. Chapter 14
Integrated Market Model - Maturity Curve. Practice Problems. Chapter 15 Job
Pricing Market Model - Group of Jobs. Practice Problems. Chapter 16 Job
Pricing Market Model - Power Model. Practice Problems. Chapter 17 Multiple
Linear Regression. 17.1 What It Is. 17.2 Similarities and Differences with
Simple Linear Regression. 17.3 Building the Model. 17.4 Model Evaluation.
17.5 Mixed Messages in Evaluating a Model. 17.6 Summary of Regressions.
17.7 Digging Deeper. Practice Problems. Appendix. A.1 Value Exchange
Theory. A.2 Factors Determining a Person's Pay. A.3 Types of Numbers. A.4
Significant Figures. A.5 Scientific Notation. A.6 Accuracy and Precision.
A.7 Compound Interest - Additional. A.8 Rule of 72. A.9 Normal
Distribution. A.10 Linear Regression Technical Note. A.11 Formulas for
Regression Terms. A.12 Logarithmic Conversion. A.13 Range Spread
Relationships. A.14 Statistical Inference in Regression. A.15 Additional
Multiple Linear Regression Topics. Glossary. References. Answers to
Practice Problems. Index.

Rezensionen

"As an experienced compensation manager for a publicly traded Fortune 500 company, I have found this book to be an all-inclusive, highly useful and infor­mative desk reference. It certainly has been extremely valuable in helping me to contribute to successful strategic decisions at my company." (Workspan, 1 January 2013) "The book can serve as a text for students specializing in compensation or human resources, or as a reference for practitioners. He provides worked examples throughout." (Booknews, 1 June 2011)