"Examining Gender Differences in Benevolent and Hostile Ageism"
Celie McKinley
Experimental Psychology (MA) 

Faulty Sponsor: Jenessa Steele
Presentation Abstract

"Ageism is defined as the act of stereotyping and discriminating against older adults solely because of their age (Butler, 1989). Rates of ageism are likely to increase as the percentage of older adults over age 65 is expected to reach 30% by 2030 (North & Fiske, 2013; U.S. Census Bureau, 2012). Research has found that individuals often hold positive and negative stereotypes of older adults; such as warm and incompetent. For example, ambivalent ageism distinguishes between these two interrelated forms of ageism: Benevolent and Hostile ageism (Fiske, Cuddy, Glick, & Xu, 2002; Durante et al., 2013; Cary, Chasteen, & Remedios, 2017). Previous literature has suggested that gender is a moderator of the different forms of ageism (Fiske, Cuddy, Glick, & Xu, 2002; Fiske, Cuddy, & Glick, 2007). For example, males typically respond higher on measures of hostile ageism, whereas females are more likely to score higher on measures of benevolent ageism (Fiske, Cuddy, Glick, & Xu, 2002). Recent findings on females and benevolent ageism have been supported by the Stereotype Content Model which features two universal dimensions of social cognition: warmth and competence (Fiske, Cuddy, & Glick, 2007; Fiske, 2018). Thus, we might predict that females would experience more benevolent ageism than males due to traditionally being perceived themselves as more warm than competent (Fiske, Cuddy, & Glick, 2007). Due to the overall mixed findings regarding the role of gender in ageism, the current study will investigate gender as a moderator of multiple forms of ageism. The current study will utilize multiple self-report measures of ageism, such as, Ambivalent Ageism Scale (Cary, Chasteen, & Remedios, 2017) and Fraboni Scale of Ageism (Fraboni & Saltstone, 1990). Participants will include college students, as young adults hold the strongest, negative views of older adults compared to all other age groups (Royal Society for Public Health, 2018). Findings will have implications for identifying differential predictors of varying forms of ageism".

Keywords: ageism, gender 

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