This study examines political persuading, trying to influence another during a political campaign, by women between 1964 and 1984. Data for the study are drawn from the American National Election Studies surveys done during each Presidential election campaign in those years. Political persuading by women increased significantly during this period, but still lagged behind men's rates of persuading. This study explores the antecedents of women's political persuading as represented in two constructs, “access” and “competence.” Competence (education, age cohort and news media use) contributed significantly to explaining women's political persuading during this time. Access, opportunities to persuade inferred from parenting, marital, and employment status, had little effect. A path model of competence variables found that news media use contributed significantly to explaining persuading beyond the impacts of education and generation. These findings modify previous explanations of American women's political participation and suggest new, gendered approaches to the empirical study of women's political communication.
Sources of access and competence in women's political persuading, 1964–1984
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.