ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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Exploring factors influencing Chinese American older adults' intentions to plan for end-of-life care
In this study, 375 female teachers from Nairobi and three towns completed a survey questionnaire with both closed- and open-ended questions. Data analysis was conducted through descriptive and inferential statistics, and content analyses of qualitative data. There were five primary findings. (1) Teachers clearly identified and described stressors that led to work-family conflict: inability to get reliable support from domestic workers, a sick child, high expectations of a wife at home, high workloads at school and home, low schedule flexibility, and number of days teachers spend at school beyond normal working hours, etc.
(2) Work-family conflict experienced was cyclical in nature. Stressors influenced WFC, which led to adverse outcomes. These outcomes later acted as secondary stressors. (3) The culture of the school and school’s resources influenced the level of support that teachers received. The level of WFC support that teachers received depended on the goodwill of supervisors and colleagues.
(4) Work-family conflict contributed to emotional exhaustion, cynicism, and professional efficacy. Time and emotional investment in students’ parents was related to emotional exhaustion; time and emotional investment in students’ behavior, the number of years teaching experience, and number of children were related to professional efficacy. Support from teachers’ spouses enabled teachers to cope with cynicism.
(5) While marital status did not influence WFC, school location did; teachers in Nairobi experienced more WFC than those in small towns. The study highlighted the importance of culture in studies of work-family conflict, as some of the stressors and WFC experiences identified seemed unique to the Kenyan context. Finally, theoretical implications, policy recommendations, and further research directions are presented.
Methods: Parents of children six months to five years old (N = 975) were randomly exposed to one of four high-threat/high-efficacy messages (narrative, statistical, combined, control) and completed a follow-up survey. Differences between message conditions were assessed with one-way ANOVAs, and binary logistic regressions were used to show how constructs predicted intentions.
Results: There were no significant differences in the ANOVA results at p = .05 for EPPM variables or risk EPPM variables. There was a significant difference between message conditions for perceived manipulation (p = 0.026), authority, (p = 0.024), character (p = 0.037), attention (p < .000), and emotion (p < .000). The EPPM model and perceptions of message model (positively), and the risk EPPM model and fear control model (negatively), predicted intentions to vaccinate. Significant predictor variables in each model at p < .05 were severity (aOR = 1.83), response efficacy (aOR = 4.33), risk susceptibility (aOR = 0.53), risk fear (aOR = 0.74), issue derogation (aOR = 0.63), perceived manipulation (aOR = 0.64), character (aOR = 2.00), and personal relevance (aOR = 1.88). In a multivariate model of the significant predictors, only response efficacy significantly predicted intentions to vaccinate (aOR = 3.43). Compared to the control, none of the experimental messages significantly predicted intentions to vaccinate. The narrative and combined conditions significantly predicted intentions to search online (aOR = 2.37), and the combined condition significantly predicted intentions to talk to family/friends (aOR = 2.66).
Conclusions: The EPPM may not be effective in context of a two-way threat. Additional constructs that may be useful in the EPPM model are perceptions of the message and fear control variables. One-shot flu vaccine messages will be unlikely to directly influence vaccination rates; however they may increase information-seeking behavior. The impact of seeking more information on vaccination uptake requires further research. Flu vaccine messages should be presented in combined form. Future studies should focus on strategies to increase perceptions of the effectiveness of the flu vaccine.