Abstract
ABSTRACT As politicians in the 1990s shrank welfare appropriations and tinkered with eligibility rules, many researchers examined American welfare attitudes. In doing so, separate lines of research argued that welfare-spending inclinations can be swayed by a person's class, race and gender statuses. Moreover, different studies connected welfare appraisals to a person's explanation of poverty, racial inequalities and gender hierarchies. As these inquiries provide critical insights these insights were hampered by a lack of theoretical breadth since they coalesced around a small set of independent variables. In effect, while theoreticians have linked class, race and gender matters, published quantitative works have routinely focused on only one set of class, race, or gender variables (i.e., numerous researchers consider welfare preferences in light of class and race interpretations as they neglect gender matters, or vice versa). In realizing that welfare attitudes probably emerge from all of these factors, this paper incorporates class, race and gender variables into a single explanatory model. With such a synthesis, this paper explores the welfare attitudes of college students from twelve randomly selected colleges (n = 575). In running a multivariate regression which explores the direct and separate contributions of each variable, the students' demographic affiliations seem to play a minimal role. Instead, attitudinal measures presented some significant results (especially the acceptance of modern racism, feminism and the belief of an open employment system). Thus, it seems that welfare antagonism was not contingent upon membership in certain race or gender groupings. Instead, welfare judgments were shaped by the perceived legitimacy of conventional class, race, and gender arrangements.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.