There is an extensive body of literature exploring the way in which a variety of factors affect a person's attitudes towards abortion. There is significantly less research, however, on the way in which a person's attitude towards abortion affects their attitudes towards other issues. At the same time, there is evidence to suggest that a growing number of people are using their "pro- life" stance on abortion to influence their stance on other issues that revolve around the quality and sustenance of life, and that Generation Y may be more liberal than previous generations on most, if not all, issues. This research seeks to explore the extent to which "pro-life progressivism" may have affected Generation Y with two sets of logistic regression analysis. The first analysis looks exclusively at members of Generation Y, and explores the effect of a person's attitudes toward abortion on their attitudes towards government spending on childcare, assistance to the poor, and healthcare. This is to see if there is a difference between pro-life and pro-choice members of Generation Y in the way they approach other issues relating to the quality and sustenance of life. The second analysis compares pro-life members of Generation Y to older cohorts. The results show that attitudes towards abortion among members of Generation Y had no effect on their attitudes towards childcare and healthcare. Furthermore, the attitudes of pro- life members of Generation Y were statistically no different from older cohorts, with the exception of members of the Silent Generation on the issue of government assistance to healthcare. Further research, particularly of the qualitative nature, is suggested to delve more deeply into this research question.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-5837 |
| Date | 01 January 2014 |
| Creators | Gilmore, Lauren |
| Publisher | University of Central Florida |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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