Human Resources 101

Using Statistical Applications in Compensation

Webinar Overview:

This course teaches the mathematical skills necessary for compensation administration. The emphasis of this course is to provide the theoretical framework necessary to understand the implications and limitations of methods including linear and nonlinear regression, outlier detection and strategies, nonrandom sampling and missing data. The goal of the course is to set the theoretical discussions in practical applications for the compensation profession. This will not only provide training in the application of advanced statistical methods for compensation, but also the underlying statistical theory necessary to question and defend such application.

We begin with a discussion of methods describing the advantages and disadvantages of descriptive statistics (sample and population) from a distribution theory and outlier assessment perspective. We then discuss measures of relationship (continuous and categorical methods) again emphasizing the underlying distribution theory, statistical assumptions and robustness to assumption violations. This is followed by a discussion of model building and model assessment for the compensation practitioner (including nonlinear regression and robust methods). We conclude with a discussion of the presentation of data analysis for various levels of audience mathematical sophistication.

Learning Objectives:

• Obtain a solid understanding of the concepts of statistics (including assumptions and impacts of violations)
  
• Apply these statistical concepts to compensation planning scenarios such as nonlinear model development for executive salaries
  
• Relate the results of data analysis at various levels of technical detail

Date: October 25, 2006

Time: 9:00 AM – 10:30 AM (Pacific)

Price: $110

Please click here to sign up.

Attendees Receive:

• Salary Assessor^® Compensation Software: You will receive a free demo edition of ERI’s Salary Assessor software, which provides the most extensive analysis of competitive rates in existence. This tool has been used by thousands of organizations since 1987 and provides salary and incentive pay for more than 5,000 positions. Salary reports are based on user input for organization size, industry, and geographic location; reliability statistics are provided. A specific salary planning date may be selected to ensure that data is aged to meet the user’s needs. A Benchmark List screen facilitates the design and updating of salary structures.
• Webinar PowerPoint Presentation: Interested attendees may save the PowerPoint slideshow from this webinar for use in staff training.

Credit Hours:

• PHR/GPHR/SPHR: This webinar provides 1.5 hours of PHR, SPHR, and GPHR recertification credit as approved by SHRM’s HR Certification Institute.

• CBP/CCP/GRP: This webinar qualifies for recertification credit for the Certified Compensation Professional (CCP^®), Certified Benefits Professional (CBP^®) and Global Remuneration Professional (GRP^®) designations granted by WorldatWork Society of Certified Professionals. To determine the number of Society recertification credits, please view the Recertification Application on the WorldatWork Society of Certified Professionals website at www.worldatworksociety.org.
• JCA: Earn 1.5 hours of JCA credit towards your Job and Compensation Analyst credential.
• CPE: This webinar has been approved by NASBA as a 1.5 CPE credit hour group-live event. No prerequisites or advanced training are required for this webinar. CPAs may register by clicking here. For more information regarding administrative policies, such as complaint and refund, please contact our offices at 800-922-3330.

Presenters:

Christopher S. Chasteen
Christopher S. Chasteen is the Project Manager of European data for ERI Economic Research Institute’s Assessor Series Software. Christopher is a Ph.D. candidate in Quantitative Psychology with a minor in Industrial/Organizational Psychology from the University of Oklahoma. His areas of expertise include data analysis and management; in particular statistical modeling (including maximum-likelihood and Bayesian missing data methods). Christopher has several publications and conference presentations to his credit. He currently holds a foundation fellowship at the University of Oklahoma and obtained his M.Ed. in Educational Psychology (emphasis in Quantitative Methods) from the University of Hawaii at Manoa and a B.S. in Psychology from the University of Florida.

Lyle Leritz
Dr. Lyle Leritz is a senior researcher for PAQ Services, Inc., where he heads development of the Position Analysis Questionnaire and manages the database for its occupation analysis software. Dr. Leritz specializes in quantitative methods, interview techniques, and creativity training. He is PAQ’s lead job analysis instructor bringing to this work an expertise in surveys, assessments, and data analysis. He holds a Ph.D. in Industrial-Organizational Psychology from the University of Oklahoma and a Master’s Degree in Psychology from Western Washington University.