Matching Items (3)
Filtering by
- All Subjects: Stereotyping
- All Subjects: Idiographic
- Creators: Shiota, Michelle N.
- Creators: Fisher, Bobbi Paige
- Member of: Theses and Dissertations
Description
An emerging body of literature suggests that humans likely have multiple threat avoidance systems that enable us to detect and avoid threats in our environment, such as disease threats and physical safety threats. These systems are presumed to be domain-specific, each handling one class of potential threats, and previous research generally supports this assumption. Previous research has not, however, directly tested the domain-specificity of disease avoidance and self-protection by showing that activating one threat management system does not lead to responses consistent only with a different threat management system. Here, the domain- specificity of the disease avoidance and self-protection systems is directly tested using the lexical decision task, a measure of stereotype accessibility, and the implicit association test. Results, although inconclusive, more strongly support a series of domain-specific threat management systems than a single, domain- general system
ContributorsAnderson, Uriah Steven (Author) / Kenrick, Douglas T. (Thesis advisor) / Shiota, Michelle N. (Committee member) / Neuberg, Steven L. (Committee member) / Becker, David V (Committee member) / Arizona State University (Publisher)
Created2011
Description
The current study looked at weight stereotype presence and whether certain types of medical professionals held this bias over others. This study also investigated if there was a relation between medical professionals' self-esteem and the presence of the weight stereotype. By having a sample consisting of registered nurses, physician assistants, and medical doctors data was then collected within each group to analyze for any significant differences between the three levels of medical professionals. Eleven participants were guided through participation in the Harvard Implicit Association Test, specifically testing for weight stereotype presence, followed by responses to 50 true/false statements on the Sorensen Self-Esteem Test to measure the self-esteem of each participant. The participants within this study were 11 medical professionals, between the ages of 25 and 59, with 6 women and 5 men. The resulting sample consisted of 6 registered nurses, 3 physician assistants, and 2 medical doctors all currently practicing medicine in the state of Arizona, with the exception of 1 participant who is practicing in Colorado. This study was conducted through Qualtrics, an online database through Arizona State University. Upon completion of the study, 3 different tests were run using the data collected. The first was a between-subjects effect test to determine if there was a difference in stereotype presence among the three levels of medical professionals. The second test was a correlation between stereotype presence and the self-esteem each medical professional displayed. The third was a between-subjects effect test looking at self-esteem differences among the three levels of medical professionals. None of the tests yielded significant results, suggesting that there is no difference in weight stereotype presence or self-esteem among the three groups of medical professionals. The data also suggests that there is no correlation between a medical professionals' self-esteem and weight stereotype presence. Suggestions for future research within this paper have discussed ways to improve the current study in order to create significant results.
ContributorsFisher, Bobbi Paige (Author) / Lewis, Stephen (Thesis director) / Edwards, Alison (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Psychological theories often reduce descriptions of people’s emotional experiences to a small number of underlying dimensions that capture most of the variation in their responses. These underlying dimensions are typically uncovered by comparing the self-reported emotions of many individuals at one specific time point, to infer a single underlying structure of emotion for all people. However, theoretical work suggests that underlying dimensions uncovered in this way may not hold when modeling how people change over time. Individuals may differ not just in their typical score on a given dimension of emotion, but in what dimensions best characterize their patterns of emotional experience over time. In this study, participants described two emotional events per day for 35 days, and analyses compared individualized structures of emotion to those generated from many people at one point in time. Analyses using R-technique factor analysis, which compares many people at one time point, most often uncovered a two-factor solution corresponding to positivity and negativity dimensions - a solution well-established in the literature. However, analyses using P-technique factor analysis, which compares many emotional events for one person, uncovered a broader diversity of underlying dimensions. Individuals needed anywhere from one to five factors to best capture their self-reported emotions. Further, dimensions specifically related to romantic relationships were much more common when examining the experiences of individuals over time. This suggests that external factors, such as pursuing or being in a romantic relationship, might lead to a qualitative shift in how emotions are experienced. Research attempting to characterize emotion dynamics, including those attempting to help people shift or regulate their emotions, cannot assume that typical two dimensional structures of emotional experience apply to all people. Instead we must account for how individuals describe their own emotional experiences.
ContributorsDanvers, Alexander F (Author) / Shiota, Michelle N. (Thesis advisor) / Kenrick, Douglas T. (Committee member) / Neuberg, Steven L. (Committee member) / Amazeen, Polemnia G (Committee member) / Arizona State University (Publisher)
Created2017