Matching Items (3)
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- All Subjects: Graduate students
- Genre: Academic theses
- Creators: Tracey, Terence
Description
Technology is rapidly evolving, and mental health professionals are increasingly using technology in their clinical work. In reaction to this shift, it is important that research examines the ethical implications of online behaviors. The current study examined the online practices of graduate students in the mental health field and generated prediction models for online client searches and best practices in informed consent and online disclosure. The sample consisted of 316 graduate students in counseling, clinical, and school programs. Of those with clinical experience, a third had utilized the Internet to find information about their client. Progress in the participants' program, as measured by credits completed or in progress, and years of social networking experience were positively related to online client searches. The vast majority (over 80%) of individuals who conducted an online search did not obtain informed consent prior to the search. Curiosity was the most frequent reason given for conducting a client search. Previous professional discussions and belief that information online is private were not significant predictors of obtaining informed consent. The final analysis examined disclosure of client information and found that lower scores on ethical decision-making and years of social networking experience predicted online disclosure. This study is an important step in understanding the implications of the intersection of technology use, ethics, and clinical practice of graduate mental health professionals.
ContributorsHarris, Sara Elisabeth (Author) / Robinson Kurpius, Sharon E (Thesis advisor) / Tracey, Terence (Committee member) / Kinnier, Richard (Committee member) / Arizona State University (Publisher)
Created2012
Description
As women enter STEM fields they are often presented with chilly climates. The chilly climate refers to incidents of sexism, isolation, and pressure to prove themselves to peers and higher level academics (Callister, 2006; Hall & Sandler, 1982). For women of color, the status of being a double minority can intensify the psychological distress experienced by students (Joseph, 2012; Ong, 2011; Malcom, Hall, & Brown, 1976). For minority populations in STEM, loneliness is experienced due to lack of belonging and social isolation (Morris & Daniel, 2008; Walton & Cohen, 2007). This study sought to investigate whether social support could serve as a protective factor in the negative relationship between loneliness and psychological well-being (Cohen, 2004; Lawson, 2001; Lazarus & Folkman, 1984) for those who hold a minority status. In addition, this study explored differences in the associations between loneliness, social support, and psychological well being and whether or not the moderation relationships were different for sub-groups based on gender or ethnic minority status. Cross-sectional data from 205 STEM graduate students was collected through an online study. A hierarchical regression analysis was used to test the buffering effects (Barron & Kenny, 1986) of global social support (total support from friends, family, and significant others) and family social support specifically. Model results suggested that global social support buffers the negative associations between loneliness and psychological well-being for less lonely minority participants in the study. Family social support buffered the associations of loneliness on psychological well-being for men with less loneliness. An unexpected finding in the present study revealed that for men and non –minority participants with high loneliness, psychological well-being decreased as family support increased. These results highlight the need for further research exploring through which mechanisms social support works as a buffer against loneliness in the sub-groups within STEM graduate student populations. The findings of this study could inform practices focused on the recruitment and retention of underrepresented STEM graduate students.
ContributorsAnderson, Mercedes (Author) / Bernstein, Bianca L. (Thesis advisor) / Randall, Ashley K. (Committee member) / Tracey, Terence (Committee member) / Arizona State University (Publisher)
Created2017
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 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