Matching Items (3)
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- All Subjects: campus health
- All Subjects: Random Block
- Creators: Borror, Connie M.
- Creators: LeMaster, Benny
Description
Optimal experimental design for generalized linear models is often done using a pseudo-Bayesian approach that integrates the design criterion across a prior distribution on the parameter values. This approach ignores the lack of utility of certain models contained in the prior, and a case is demonstrated where the heavy focus on such hopeless models results in a design with poor performance and with wild swings in coverage probabilities for Wald-type confidence intervals. Design construction using a utility-based approach is shown to result in much more stable coverage probabilities in the area of greatest concern.
The pseudo-Bayesian approach can be applied to the problem of optimal design construction under dependent observations. Often, correlation between observations exists due to restrictions on randomization. Several techniques for optimal design construction are proposed in the case of the conditional response distribution being a natural exponential family member but with a normally distributed block effect . The reviewed pseudo-Bayesian approach is compared to an approach based on substituting the marginal likelihood with the joint likelihood and an approach based on projections of the score function (often called quasi-likelihood). These approaches are compared for several models with normal, Poisson, and binomial conditional response distributions via the true determinant of the expected Fisher information matrix where the dispersion of the random blocks is considered a nuisance parameter. A case study using the developed methods is performed.
The joint and quasi-likelihood methods are then extended to address the case when the magnitude of random block dispersion is of concern. Again, a simulation study over several models is performed, followed by a case study when the conditional response distribution is a Poisson distribution.
The pseudo-Bayesian approach can be applied to the problem of optimal design construction under dependent observations. Often, correlation between observations exists due to restrictions on randomization. Several techniques for optimal design construction are proposed in the case of the conditional response distribution being a natural exponential family member but with a normally distributed block effect . The reviewed pseudo-Bayesian approach is compared to an approach based on substituting the marginal likelihood with the joint likelihood and an approach based on projections of the score function (often called quasi-likelihood). These approaches are compared for several models with normal, Poisson, and binomial conditional response distributions via the true determinant of the expected Fisher information matrix where the dispersion of the random blocks is considered a nuisance parameter. A case study using the developed methods is performed.
The joint and quasi-likelihood methods are then extended to address the case when the magnitude of random block dispersion is of concern. Again, a simulation study over several models is performed, followed by a case study when the conditional response distribution is a Poisson distribution.
ContributorsHassler, Edgar (Author) / Montgomery, Douglas C. (Thesis advisor) / Silvestrini, Rachel T. (Thesis advisor) / Borror, Connie M. (Committee member) / Pan, Rong (Committee member) / Arizona State University (Publisher)
Created2015
Description
Encouraging stair use may increase physical activity among college students. The overall goals of this study were to quantitatively and qualitatively evaluate a stair use initiative, which included a mural painting contest in a residential hall. The number of individuals exiting the stairs were counted and interview data were obtained regarding the visibility of the signs and murals and whether the signs or murals influenced stair use. Focus groups and interviews were conducted with the community assistants (CAs) and staff members involved with the project to obtain qualitative data on their perceptions and opinions of the mural painting event. It was hypothesized that the average number of individuals per half hour who used the stairs would significantly increase from baseline to post-test. To examine changes over time in individuals exiting the stairs, a quasi-experimental design was used with one baseline measurement and multiple posttests (n=5). Stair use was determined by counting individuals exiting the stairwells. Time differences in exiting stair use were examined with repeated measures analysis of variance (ANOVA). Descriptive statistics and t-tests were used to analyze interview data. Qualitative data were analyzed using a thematic analysis approach. There was a significant time effect on stair use (F=7.512, p =0.000) and a significant interaction between staircase and time (F=7.518, p=0.000). There was no significant interaction of gender over time (F=.037, p=0.997). A repeated measures ANOVA was conducted on each staircase individually and showed that significant time differences were only found in the Southwest staircase. Based on exit interviews (n=28), most students saw the directional signs (61%) and murals (89.3%). However, neither the signs (71.4%) nor the murals (82.1%) were perceived as influential on stair use. Data from the focus groups and interviews revealed that the mural painting contest did not occur as intended, because the contest piece did not take place. In conclusion, solely having residents of a residential hall paint murals in stairwells was insufficient for increasing stair use. A mural painting contest may be a viable approach if properly planned and implemented.
ContributorsSmith, Shannon (Author) / Der Ananian, Cheryl A. (Thesis advisor) / Ainsworth, Barbara E. (Committee member) / Borror, Connie M. (Committee member) / Ilchak, Debra L. (Committee member) / Swan, Pamela D. (Committee member) / Wharton, Christopher M. (Committee member) / Arizona State University (Publisher)
Created2011
Description
The purpose of this study is to examine the social and communicative barriers LGBTQIA+ students face when seeking healthcare at campus health and counseling services at Arizona State University. Social barriers relate to experiences and internalizations of societal stigma experienced by sexual and gender minority individuals as well as the anticipation of such events. Communication between patient and provider was assessed as a potential barrier with respect to perceived provider LGBTQIA+ competency. This study applies the minority stress model, considering experiences of everyday stigma and minority stress as a predictor of healthcare utilization among sexual and gender minority students. The findings suggest a small but substantial correlation between minority stress and healthcare use with 23.7% of respondents delaying or not receiving one or more types of care due to fear of stigma or discrimination. Additionally, communication findings indicate a lack of standardization of LGBTQIA+ competent care with experiences varying greatly between respondents.
ContributorsZahn, Jennica (Author) / Davis, Olga (Thesis director) / LeMaster, Benny (Committee member) / Watts College of Public Service & Community Solut (Contributor) / School of Art (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05