This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Accurately assessing the sexual interest of others is useful for initiating courtship behaviors that have a chance of being reciprocated, and also potentially critical for survival, particularly for women, where unwanted sexual interest from men can become unwanted sexual advances, sexual assault, and worse. Previous research suggests that men overestimate

Accurately assessing the sexual interest of others is useful for initiating courtship behaviors that have a chance of being reciprocated, and also potentially critical for survival, particularly for women, where unwanted sexual interest from men can become unwanted sexual advances, sexual assault, and worse. Previous research suggests that men overestimate women’s sexual interest to initiate courtship behaviors even if the probability of their advances being reciprocated is low. This may be because missing a potential mating opportunity is costlier than squandered courtship efforts. However, research on this male sexual overestimation effect has failed to fully appreciate the importance of the motivations and contexts of actors. Here, we primed participants with short-term mating motivations and threat contexts to compare against a control prime condition. We replicated the male sexual overestimation effect in the control and threat prime conditions and found a marginal effect in the short-term mating prime condition. The magnitude of the difference between men’s estimations and women’s self-reports of women’s sexual interest was only significantly different from the control prime in the threat condition. Additionally, we explored some interesting combinations of circumstances. We found that, in a potentially common scenario, where men are primed with short-term mating motives and women are primed with threat, the male sexual overestimation effect replicates and, further, find that this effect disappears when the mindsets of men and women are reversed. We discuss the implications of these findings in the context of understanding what the default psychologies of people during the early stages of courtship are, and the effects these psychologies have on estimations of sexual interest.
ContributorsBoyd-Frenkel, Krystina Adriana (Author) / Neuberg, Steven L. (Thesis director) / Barlev, Michael (Committee member) / Glenberg, Arthur (Committee member) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.

ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05