hr analysis april 4, 2014 mbp professor judson glenice booker-butler, mark dominik, tammi dorion...
TRANSCRIPT
![Page 1: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/1.jpg)
HR AnalysisApril 4, 2014
MBP
Professor Judson
Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul
![Page 2: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/2.jpg)
Team Shenanigans
Glenice Booker-Butler
Mark DominikTammi DorionFred Paul
![Page 3: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/3.jpg)
Table of Contents
1. Executive Summary
2. Problem Statement
3. Purpose Statement & Research Question
4. Business Case
5. Variables Analyzed
6. Methods
7. Demographics
8. Hypothesis
9. Analysis & Results
10.Conclusions
![Page 4: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/4.jpg)
Executive Summary The analysis of key demographic information
is important to the new executive team in order to understand if any policies need immediate review. This study will provide the following:
General overview of company demographics Significance between key factors Statistical analysis for determination of
potential bias Descriptions of analysis methods utilized Ethical considerations
![Page 5: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/5.jpg)
Problem Statement
Problem: The new executive team wants to better understand the critical issues related to demographics and processes such as compensation and job grade.
![Page 6: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/6.jpg)
Purpose & Research Question
Statement of Purpose:
The purpose of this presentation is to outline key HR statistical data for the new executive team to understand if the various demographics affect salary.
Research Question:
Which demographic(s) within the company most affects the salary of the employees?
![Page 7: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/7.jpg)
Business Case
Close in-depth look into demographics
Benefits of analysis
Forward looking…
![Page 8: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/8.jpg)
Variables Analyzed
Gender Cultural Identity Age Grade Effectiveness Years of Education Years of Experience Company Experience ESL
![Page 9: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/9.jpg)
Methods
Demographics Scatter Plot Correlations Regression Analysis Voice of the data – ethical
considerations
![Page 10: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/10.jpg)
![Page 11: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/11.jpg)
![Page 12: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/12.jpg)
![Page 13: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/13.jpg)
![Page 14: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/14.jpg)
![Page 15: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/15.jpg)
![Page 16: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/16.jpg)
AA = 36%$79,512.17
H = 37%$76,016.11
E = 27%$80,612.93
![Page 17: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/17.jpg)
F = 53%$73,939.53
M = 47%$83,673.19
![Page 18: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/18.jpg)
ESL N = 47%$82,330.30
ESL Y = 53%$75,130.32
![Page 19: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/19.jpg)
Basic Hypothesis: There is no relationship between the independent variables (1-8) and the dependent variable salary.
Independent Variables
1. Gender
2. Cultural Identity
3. Age
4. Effectiveness
5. Years of Education
6. Years of Experience
7. Company Experience
8. ESL
Dependent Variable Salary
Hypothesis
![Page 20: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/20.jpg)
Variables Related to Salary
![Page 21: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/21.jpg)
Correlations – Pearson’s
![Page 22: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/22.jpg)
Correlations – Kendall Tau’s
![Page 23: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/23.jpg)
Multi Regression Independent Variables Age Grade Effectiveness Years of Education Years of Experience Company Experience Satisfaction with company Gender Cultural Identity ESL
![Page 24: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/24.jpg)
Multiple Regression – All Variables
Gender and ESL are the only statistically significant variables.
![Page 25: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/25.jpg)
R-Square – All Variables
22.9% of the variation within salary.
![Page 26: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/26.jpg)
R-Square – ESL & Gender
14.7% of the variation within salary.
![Page 27: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/27.jpg)
R-Square - Gender
10.2% of the variation within salary.
![Page 28: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/28.jpg)
Salary & Job Grade Analysis
Job “grade” is not statistically significant, nor is it predictive of an individual’s salary.
Job grade is directly correlated with “Age”.
![Page 29: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/29.jpg)
![Page 30: HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul](https://reader035.vdocuments.net/reader035/viewer/2022062409/5697bfe31a28abf838cb4ba1/html5/thumbnails/30.jpg)
Conclusions
ESL and gender are the demographics that are statistically significant related to salary.
No strong predictive model for salary.
Grade of individuals is based on age of employees.
Overall determination of why differences exist would need to be investigated further.