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Description
Overt forms of sexism have become less frequent (Swim Hyers, Cohen & Ferguson, 2001; Sue & Capodilupo, 2008). Nonetheless, scholars contend that sexism is still pervasive but often manifests as female microaggressions, which have been defined as often subtle, covert forms of gender discrimination (Capodilupo et al., 2010). Extant sexism

Overt forms of sexism have become less frequent (Swim Hyers, Cohen & Ferguson, 2001; Sue & Capodilupo, 2008). Nonetheless, scholars contend that sexism is still pervasive but often manifests as female microaggressions, which have been defined as often subtle, covert forms of gender discrimination (Capodilupo et al., 2010). Extant sexism scales fail to capture female microaggresions, limiting understanding of the correlates and consequences of women’s experiences of gender discrimination. Thus, the purpose of the current study was to develop the Female Microaggressions Scale (FeMS) based on an existing theoretical taxonomy and content analysis of social media data, which identifies diverse forms of sexism. Two separate studies were conducted for exploratory factor analysis (N = 582) and confirmatory factor analysis (N = 325). Exploratory factor analyses supported an eight-factor, correlated structure and confirmatory factor analyses supported a bifactor model, with eight specific factors and one general FeMS factor. Overall, reliability and validity of the FeMS (general FeMS and subscales) were mostly supported in the two present samples of diverse women. The FeMS’ subscales and body surveillance were significantly positively correlated. Results regarding correlations between the FeMS subscales and anxiety, depression, and life satisfaction were mixed. The FeMS (general FeMS) was significantly positively correlated with anxiety, body surveillance, and another measure of sexism but not depression or life satisfaction. Furthermore, the FeMS (general FeMS) explained variance in anxiety and body surveillance (but not depression, self-esteem, or life satisfaction) above and beyond that explained by an existing sexism measure and explained variance in anxiety and depression (but not self-esteem) above and beyond that explained by neuroticism. Implications for future research are discussed.
ContributorsMiyake, Elisa (Author) / Tran, Giac-Thao Thanh (Thesis advisor) / Bernsten, Bianca (Committee member) / Tracey, Terence (Committee member) / Arizona State University (Publisher)
Created2018
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Description
The Centers for Disease Control and Prevention (2017) note that gay, bisexual, and other men who have sex with men (collectively referred to as MSM) face more barriers to accessing health care compared to other men. Such barriers include, lack of cultural- and sexual identity-appropriate medical and support services, concerns

The Centers for Disease Control and Prevention (2017) note that gay, bisexual, and other men who have sex with men (collectively referred to as MSM) face more barriers to accessing health care compared to other men. Such barriers include, lack of cultural- and sexual identity-appropriate medical and support services, concerns about confidentiality, and fear of discussing sexual practices or orientation in a medical setting. In comparison to other MSM populations, Latino MSM (LMSM) report having the least amount of access to health care (McKirnan et al., 2012). The purpose of the present study is to elucidate how individual- (i.e., age, education level, and income level), community- (i.e., social support and neighborhood collective efficacy), and sociocultural-level factors (i.e., immigration status, heterosexual self-presentation, sexual identity commitment, sexual identity exploration, and ethnic identity affirmation and belonging) may relate with perceived access to healthcare. It is hypothesized that ethnic identity affirmation and belonging will moderate relations between the aforementioned predictors and perceived access to health care based on increasing evidence that ethnic identity, or one’s sense of affirmation and belonging to one’s ethnic group, may be a health protective factor. Among a sample of 469 LMSM, this study found that there were several predictors across all three levels (i.e., individual, community, and sociocultural) of perceived access to healthcare. Additionally, data supported evidence that ethnic identity affirmation and belonging (Phinney, 2003) acts as a moderator of other predictors of perceived access to healthcare in this sample. These findings can inform outreach interventions of researchers and healthcare providers about psychosocial and cultural barriers and facilitators of access to healthcare.
ContributorsMarsiglia, Steven Sasa (Author) / Dillon, Frank R (Thesis advisor) / Capielo Rosario, Cristalís C (Committee member) / Spanierman, Lisa (Committee member) / Arizona State University (Publisher)
Created2020