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Conducting a Research Sample

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Submitted By kamjosh39
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Introduction

In conducting research, a sample was used to determine whether income, education, and political attitude were related. Suppressor variables were utilized. A suppressor variable “has a zero correlation with the criterion”, but nevertheless contribute to the predictive validity of a test battery. The current definition of a suppressor variable is that it is “a variable that increase regression weights and, thus increase the predictive validity of other variables in a regression equation.”(Krus & Wilkinson, 1986). Data was collected from a sample of the population of my community to be evaluated were the data were correlated and related.

The sample of the population Table I.
# Race Age Sex College Occupation Income Pol. Party
1 AA 32 F Yes Nurse $ 42,000 Dem
2 AA 50 F Yes Director/accountant $ 142,000 Dem
3 C 68 M No Farmer $ 125,000 Rep
4 AA 49 M No Landscaper $ 75,000 Dem
5 AA 62 F No Upholster $ 60,000 Rep
6 AA 38 F Yes Teacher/SMBO $ 104,000 Dem
7 C 32 M No Farmer $ 93,000 Rep
8 AA 53 M Yes Landscaper $ 102,000 Dem
9 C 60 M No Contractor $1,000,000 Rep.
10 AA 47 F Yes Gov. Inspector $ 52,000 Dem

AA= African American
C= Caucasian
Dem= Democratic
Rep=Republic
SMBO=Small Business Owner

Direct Effect of Education on Political Attitudes.

A sample poll was conducted on 10 people from a community of 150 people. The community is Springhill which is located 8 miles north of Indianola, MS with a population of 10, 503. Indianola, MS is about 100 miles south of Memphis, TN (Cit-Data.Com, 2010).

After analyzing the data, it revealed the people with college degrees from the sample voted for Democratic Party. Mostly all people with no college education voted Republican. The people that voted Democratic Party stated that they voted for the party because the party gave them an opportunity to obtain a college education. The people that voted for the Republican Party stated that they voted for the party because the Republican Party cut taxes and support less government. If S = education and T = Democratic Party, then S and T will be related. If Y = non college education and Z = Republican Party then Y and Z will be related (Vogt, 2007).

Indirect Effect of Income of Political Attitudes

The incomes from this sample poll range from $42,000 to 1,000,000 a year. The $42,000 salary was made by a person who is a Democrat. The $1,000,000 a year salary was made by a republican. The income varies from occupation to occupation. Some Democrats earn more than Republicans. Some Republicans earn more than the Democrats. From this data I collected, income had no effect on political attitude. The person that earns a $1,000,000 a year does not have a high school diploma and is a Republican (Vogt, 2007).

Defend Your Consideration of One Over the Over.

In my community and voting district majority of the people with college education vote Democrat. Democrat candidates always win in our district. Most people are college educated because we have 3 universities and 2 community colleges in a 50 mile radius. People with college degrees in my community vote Democratic, therefore the variable of education and political attitude are related but not correlated. Income does not influence the political attitude.

Conclusion.

The variable of education does influence the outcome of the political attitude. Education and political attitude are related. But also the data revealed that there is no relation between income and education. The income level varied from person to person regardless of political party (Vogt, 2007).

Reference

Vogt, W. (2007). Quantitative research methods for professionals. (Custom Ed.) Boston, MA: Pearson (pp. 40-75).

Citi-Data. Com (2010). Indianola, Mississippi. Retrieved from http://www.city-data.com/city/Indianola-Mississippi.html

Krus, D. & Wilkerson, S. (1986, February 18). Demonstrating properties of the suppressor variables using propositional calculus. Arizona State University. Retrieved

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