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Statistics for Compensation A Practical Guide to Compensation Analysis

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ISBN-10: 0470943343

ISBN-13: 9780470943342

Edition: 2011

Authors: John H. Davis

List price: $145.95
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Description:

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. The book outlines those descriptive statistics that are most needed and used in compensation, ranging from basic notions about percents to multiple linear regression. Although the methods described in the book have a theoretical basis, the focus is on practical applications and what the author has found works- based on his experience as a practitioner, consultant, and teacher. Topics of coverage include: frequency distributions and histograms; measures of location; measures of variability; model…    
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Book details

List price: $145.95
Copyright year: 2011
Publisher: John Wiley & Sons, Incorporated
Publication date: 5/3/2011
Binding: Hardcover
Pages: 456
Size: 7.20" wide x 10.00" long x 1.20" tall
Weight: 2.354
Language: English

Preface
Introduction
Why Do Statistical Analysis?
Statistics
Numbers Raise Issues
Behind Every Data Point, There is a Story
Aggressive Inquisitiveness
Model Building Framework
Data Sets
Prerequisites
Basic Notions
Percent
Percent Difference
Compound Interest
Practice Problems
Frequency Distributions and Histograms
Definitions and Construction
Comparing Distributions
Information Loss and Comprehensive Gain
Category Selection
Distribution Shapes
Practice Problems
Measures of Location
Mode
Median
Mean
Trimmed Mean
Overall Example and Comparison
Weighted and Unweighted Average
Simpson���s Paradox
Percentile
Percentile Bars
Practice Problems
Measures of Variability
Importance of Knowing Variability
Population and Sample
Types of Samples
Standard Deviation
Coefficient f Variation
Range
P90/P10
Comparison and Summary
Practice Problems
Model Building
Prelude to Models
Introduction
Scientific Method
Models
Model Building Process
Practice Problems
Linear Model
Examples
Straight Line Basics
Fitting the Line to the Data
Model Evaluation
Summary of Interpretations and Evaluation
Cautions
Digging Deeper
Keep the Horse Before the Cart
Practice Problems
Exponential Model
Examples
Logarithms
Exponential Model
Model Evaluation
Practice Problems
Maturity Curve Model
Maturity Curves
Building the Model
Comparison of Models
Practice Problems
Power Model
Building the Model
Model Evaluation
Practice Problems
Market Models and Salary Survey Analysis
Introduction
Commonalities of Approaches
Final Market-Based Salary Increase Budget
Other Factors Influencing the Final Salary Increase Budget Recommendation
Salary Structure
Practice Problems
Integrated Market Model ��� Linear
Gather Market Data
Age Data to a Common Date
Create an Integrated Market Model Interpretations
Compare Employee Pay with Market Model
Practice Problems
Integrated Market Model ��� Exponential
Practice Problems
Integrated Market Model ��� Maturity Curve
Practice Problems
Job Pricing Market Model ��� Group of Jobs
Practice Problems
Job Pricing Market Model ��� Power Model
Practice Problems
Multiple Linear Regression
What It Is
Similarities and Differences with Simple Linear Regression
Building the Model
Model Evaluation
Mixed Messages in Evaluating a Model
Summary of Regressions
Digging Deeper
Practice Problems
Appendix
Value Exchange Theory
Factors Determining a Person���s Pay
Types of Numbers
Significant Figures
Scientific Notation
Accuracy and Precision
Compound Interest ��� Additional
Rule of 72
Normal Distribution
Linear Regression Technical Note
Formulas for Regression Terms
Logarithmic Conversion
Range Spread Relationships
Statistical Inference in Regression
Additional Multiple Linear Regression Topics
Glossary
References
Answers to Practice Problems
Index