One study that was conducted is Adolescents’ Political Engagement. The study found that youth in general is in decline but with females there are spikes of interest. It would be interesting to look back on those spikes and to see what was happening at that time, other than “Geraldine Ferraro runs as VP” and the “Year of the Woman” spike. They also tests the media’s role in promoting women. When a person knows that they are being represented in politics the more likely they are to become engaged in the political process. When there are more women in political offices, more women in public are likely to follow political issues, this was the basic issue answered in this article. Harrell and Reingold measured for different variables including education, family income, work status, age, religious attendance and race. The data in this article breaks down how female candidates are viewed by the …show more content…
To test the dependent variable, the percentage of votes the female candidate received, I will compile a list of which district had a female running for a seat in the House and what percent of the vote did she receive. The independent variable of this hypothesis is nominal because as political parties there is no order. The dependent variable is interval because as a percentage of votes it has value and can be put in a particular order. The control variables in these tests are the median income of the congressional district and the percent of citizens who have a bachelor’s degree. The test will be performed in the following order, means comparison, T-test, Chi-Square test and regression test. First, will be a means comparison test to see if there is a difference between the Democratic districts and the Republican districts. The second test will be a T-test to test the relationship between the independent variable and the dependent variable to test if it is reliable. The T-test should show that women in Democratic districts are more likely to run for office in the future. The third test will be a Chi-square test to see if the relationship between the independent variable and the dependent variable is significant. The final test that will be performed is a regression test, this