I got more data back than I expected from a more diverse group than I expected. In total, 87 data points were gathered, from a good mix of demographics. There were 49 NYU students and 38 Georgetown students from a mix of political parties, including 11 third party voters and 22 independents. In addition, a majority were voters with 44 students.
In order to gauge the relationship found between the different indicator questions for faith in elections, I charted all of the relationships and calculated both slope and correlation coefficient. Among all of this though, only 5 relationships didn’t have a weak correlation as determined by less than a .3 Pearson product-moment correlation coefficient. The 5 that stand out are the Voter Fraud 2016 question for all students, Conservative students, NYU students, and Georgetown students as well as the Voter Fraud 2020 question for Conservative students only. The all and NYU students for the Voter Fraud 2016 question had a moderate Pearson product-moment correlation coefficient with a coefficient between .3 and .5. The other 3 non-weak correlations had strong coefficients with scores between .5 and .7. All of the non-weak coefficients were negative except Voter Fraud 2020 among Conservative students. The largest Pearson product-moment correlation coefficient was -0.67 for conservative students.
My results weren’t as strong as I expected and there was more of a party divide than I thought, but overall I am happy with the results.
See you next week!