an anova of the higher education efficacy on preventing unemployment among college graduates
TRANSCRIPT
An Analysis of Variance (ANOVA) of the Higher Education Efficacy on Preventing Unemployment Among College Graduates
Yamil E. Guevara, Ph.D.
Campus College Chair, School of Business
University of Phoenix
South Florida Campus
Purpose
The purpose of this presentation is to demonstrate how to use statistical analysis in the field of education.
There are two statistical analyzes that are often used by researchers to determine if a treatment (New Reading Program, New Cancer Drug, Soft Skills Training Program, etc.) is effective (Field, 2013):• One Way Analysis of Variance (ANOVA)
• Independent • Repeated Measures
• Factorial Analysis of Variance (Factorial ANOVA) • Two Way ANOVA• Three Way ANOVA• Four Way ANOVA (Not Recommended)• Five Way ANOVA (Not Recommended)
Hypothetical Examples
A One Way Analysis of Variance (ANOVA)
Research Question: Is the new reading program effective at increasing elementary students’ reading skills?
Control Group:No new reading program
Experimental Group #1:Spend 6 months in the new reading program
Experimental Group #2:Spend 12 months in the new reading program
Contrasts
The Effect of the New Reading Program Is 12 months more effective than 6 months?
Control Group
Experimental Group #1
Experimental Group #2
Experimental Group #1
ExperimentalGroup #2
An Factorial Analysis of Variance (Factorial ANOVA)
Research Question: Is there a gender difference in the effectiveness of the new reading program?
Control Group:No new reading program
Experimental Group #1:Spend 6 months in the new reading program
Experimental Group #2:Spend 12 months in the new reading program
Contrasts
Male Female Male Female Male Female
The Main Effect of the New Reading Program (Ignores Gender)
The Main Effect of Gender The Interaction Effect between the New Reading Program and
Gender
Control Group
Experimental Group #1
Experimental Group #2
Male Female Control Group Experimental Group #2
Male Female Male Female
A Real World Example
Graduation
Earnings & Unemployment Rates by Educational Attainment
Results from the Analysis of Variance (ANOVA)Is there a statistically significant difference between the unemployment rates of individuals with a high school education and a higher education, is the P < .05?
Contrast
The Effect of the Higher Education
Control GroupHigh SchoolMean: 7.371
Experimental Group #1Associate
Mean: 5.356
Experimental Group #2Bachelor & Higher
Mean: 3.581
Results from the Analysis of Variance (ANOVA)Is there a statistically significant difference between the unemployment rates of individuals with a high school education and an associate degree education, and bachelor and higher education, is the P < .05?
Contrast
The Effect of a Bachelor and Higher Education
Experimental Group #1Associate
Experimental Group #2Bachelor and Higher
Conclusion from the results of the Analysis of Variance (ANOVA)Individuals with higher education (Associate Degree and Higher) are going to experience lower unemployment rates compared to those with a high school education
Individuals with a bachelor and higher education are going to experience lower unemployment rates compared to those with an associate degree education
Therefore, it is in the best interest of students to go to college and earn a college degree.
Questions
Contact Information
https://www.linkedin.com/in/yamil-guevara-ph-d-0961a32
Yamil Guevara
References
Field, A. P. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Los Angeles,
CA: SAGE Publications.
The Bureau of Labor Statistics. (2015). Employment Projections. Retrieved on January 10,
2016 from http://www.bls.gov/emp/ep_chart_001.htm