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- Creators: Arizona State University
- Member of: Theses and Dissertations
- Status: Published
Description
This study examined the relations between cognitive ability, socioemotional competency (SEC), and achievement in gifted children. Data were collected on children between the ages of 8 and 15 years (n = 124). Children were assessed via teacher reports of SEC, standardized cognitive assessment, and standardized achievement assessment. Composite achievement significantly correlated with all areas of SEC on the Devereux Student Strengths Assessment (DESSA). Cognitive ability significantly correlated with all areas of SEC as well. Composite cognitive ability significantly correlated with all composite achievement, as well as with achievement in all subject areas assessed. Achievement scores tended to be higher in older age groups in comparison to younger age groups. When gender differences were found (in some areas of SEC and in language achievement), they tended to be higher in females. Gender moderated the relation between SEC and composite achievement. The areas of SEC that best predicted achievement, over-and-above other SEC scales, were Optimistic Thinking, Self-Awareness, and Relationship Skills. While cognitive scores did not significantly predict achievement when controlling for SEC, SEC did significantly predict achievement over-and-above cognitive ability scores. Overall findings suggest that SEC may be important in children's school achievement; thus it is important for schools and families to promote the development of SEC in gifted children, especially in the areas of optimism and self-awareness.
ContributorsKong, Tiffany (Author) / Caterino, Linda (Thesis advisor) / Naglieri, Jack (Committee member) / Brulles, Dina (Committee member) / Arizona State University (Publisher)
Created2013
Description
In this thesis, the application of pixel-based vertical axes used within parallel coordinate plots is explored in an attempt to improve how existing tools can explain complex multivariate interactions across temporal data. Several promising visualization techniques are combined, such as: visual boosting to allow for quicker consumption of large data sets, the bond energy algorithm to find finer patterns and anomalies through contrast, multi-dimensional scaling, flow lines, user guided clustering, and row-column ordering. User input is applied on precomputed data sets to provide for real time interaction. General applicability of the techniques are tested against industrial trade, social networking, financial, and sparse data sets of varying dimensionality.
ContributorsHayden, Thomas (Author) / Maciejewski, Ross (Thesis advisor) / Wang, Yalin (Committee member) / Runger, George C. (Committee member) / Mack, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2014
Description
Prevailing models describing coping with chronic pain posit that it is a complex day-to-day process that can involve psychosocial factors, including cognitive appraisals about pain, interpersonal challenges such as distressed social relationships, and reduced engagement in enjoyable experiences. Few studies, however, have applied a process-oriented approach to elaborate the relations between key pain-related appraisals, social environmental factors, and self-efficacy, a key self-appraisal for successful adaptation to chronic pain. This study used within-day daily diary methodology to test the following hypotheses: (a) increases in morning pain catastrophizing predict decreases in end of day pain self-efficacy; (b) increases in perceived stressfulness of interpersonal relations occurring during the day exacerbate the negative effects of morning catastrophizing on end-of-day pain self-efficacy; and (c) increases in perceived enjoyment of interpersonal relations occurring during the day mitigate the negative effects of morning pain catastrophizing on end of day pain self-efficacy. Within-day measures, including morning pain catastrophizing, afternoon interpersonal stress and enjoyment ratings, and end-of-day pain self-efficacy, were collected for 21 days via an automated phone system from 223 participants with widespread chronic pain. The use of diary data allowed for examination of time-varying processes related to pain adaptation. Results of multilevel regression models indicated that, consistent with prediction, increases in morning pain catastrophizing and predicted decreases in end-of-day pain self-efficacy. Contrary to prediction, changes in midday interpersonal enjoyment and stress did not moderate the within-day catastrophizing-efficacy relation. Rather increases in midday enjoyment and stable individual differences in enjoyment predicted end-of-day efficacy. Overall, findings suggest a within-day relation between pain cognition and social context and subsequent self-efficacy, and highlight potential targets for intervention in chronic pain.
ContributorsThummala, Kirti (Author) / Davis, Mary C. (Thesis advisor) / Zautra, Alex (Committee member) / Okun, Morris (Committee member) / Arizona State University (Publisher)
Created2018
Description
The Western Continental United States has a rapidly changing and complex ecosystem that provides valuable resources to a large portion of the nation. Changes in social and environmental factors have been observed to be significantly correlated to usable ground and surface water levels. The assessment of water level changes and their influences on a semi-national level is needed to support planning and decision making for water resource management at local levels. Although many studies have been done in Ground and Surface Water (GSW) trend analysis, very few have attempted determine correlations with other factors. The number of studies done on correlation factors at a semi-national scale and near decadal temporal scale is even fewer. In this study, freshwater resources in GSW changes from 2004 to 2017 were quantified and used to determine if and how environmental and social variables are related to GSW changes using publicly available remotely sensed and census data. Results indicate that mean annual changes of GSW of the study period are significantly correlated with LULC changes related to deforestation, urbanization, environmental trends, as well as social variables. Further analysis indicates a strong correlation in the rate of change of GSW to LULC changes related to deforestation, environmental trends, as well as social variables. GSW slope trend analysis also reveals a negative trend in California, New Mexico, Arizona, and Nevada. Whereas a positive GSW trend is evident in the northeast part of the study area. GSW trends were found to be somewhat consistent in the states of Utah, Idaho, and Colorado, implying that there was no GSW changes over time in these states.
ContributorsReynolds, Ryan (Author) / Myint, Soe (Thesis advisor) / Werth, Susanna (Committee member) / Brazel, Anthony (Committee member) / Arizona State University (Publisher)
Created2018
Description
Many expect renewable energy technologies to play a leading role in a sustainable energy supply system and to aid the shift away from an over-reliance on traditional hydrocarbon resources in the next few decades. This dissertation develops environmental, policy and social models to help understand various aspects of photovoltaic (PV) technologies. The first part of this dissertation advances the life cycle assessment (LCA) of PV systems by expanding the boundary of included processes using hybrid LCA and accounting for the technology-driven dynamics of environmental impacts. Hybrid LCA extends the traditional method combining bottom-up process-sum and top-down economic input-output (EIO) approaches. The embodied energy and carbon of multi-crystalline silicon photovoltaic systems are assessed using hybrid LCA. From 2001 to 2010, the embodied energy and carbon fell substantially, indicating that technological progress is realizing reductions in environmental impacts in addition to lower module price. A variety of policies support renewable energy adoption, and it is critical to make them function cooperatively. To reveal the interrelationships among these policies, the second part of this dissertation proposes three tiers of policy architecture. This study develops a model to determine the specific subsidies required to support a Renewable Portfolio Standard (RPS) goal. The financial requirements are calculated (in two scenarios) and compared with predictable funds from public sources. A main result is that the expected investments to achieve the RPS goal far exceed the economic allocation for subsidy of distributed PV. Even with subsidies there are often challenges with social acceptance. The third part of this dissertation originally develops a fuzzy logic inference model to relate consumers' attitudes about the technology such as perceived cost, maintenance, and environmental concern to their adoption intention. Fuzzy logic inference model is a type of soft computing models. It has the advantage of dealing with imprecise and insufficient information and mimicking reasoning processes of human brains. This model is implemented in a case study of residential PV adoption using data through a survey of homeowners in Arizona. The output of this model is the purchasing probability of PV.
ContributorsZhai, Pei (Author) / Williams, Eric D. (Thesis advisor) / Allenby, Braden (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2010
Description
Health and Wealthness is a podcast where your hosts, Emily Weigel and Hanaa Khan discuss pressing and trending topics about health and wealth that everyone should know about. Our first four episodes focus on the opioid crisis. Both the science and healthcare sides. We then go on to talk about burnout and mental health in a conversational episode.
ContributorsKhan, Hanaa S (Co-author) / Weigel, Emily (Co-author) / Olive, Foster (Thesis director) / Bonfiglio, Thomas (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
ContributorsRizvi, Hasan (Author) / Hyatt, JP (Thesis director) / Kingsbury, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05
Description
Black LGBTQ people living in Des Moines, Iowa face challenges living at the intersection of Blackness and LGBTQ status. Critical race theory helps situate the context for understanding the lived experiences of Black LGBTQ individuals within broader systems, exposing the impact of societal expectations on identity formation and resources available to community members. Four interviewees shared their ideals and areas of opportunity that exist to strengthen resources available to Black LGBTQ people living in Iowa. This research study used an action research methodology paired with counternarrative analysis to guide the interview process. Thematic analysis was used to identify themes within and across participant interviews. Each of the interviews was edited into a podcast episode for the researcher’s ‘Porch Tea w/Destinee’ podcast. The overarching themes that emerged from the podcast were that (1) navigating Blackness within Iowa communities is a challenge and (2) community learning is essential to understanding identities and lived experiences.
ContributorsWoodris, Destinee (Author) / Gee, Elisabeth (Thesis advisor) / Zinnel, Daniel (Committee member) / Wolf, Leigh (Committee member) / Arizona State University (Publisher)
Created2022
Description
Our current understanding of the mitochondrial genome was revolutionized in 2015 with the discovery of short open reading frames (sORFs) that produced protein products called mitochondrial-derived peptides (MDPs). Interestingly, unlike other proteins produced by the organelle, these MDPs are not directly involved in the electron transport chain but rather serve the role of metabolic regulators. In particular, one of these peptides called MOTS-c has been shown to regulate glucose and fat metabolism in an AMPK-dependent manner. With its capacity to enter the mitochondria and impact gene expression, MOTS-c has also displayed the ability to increase aerobic exercise performance by triggering elevated synthesis of the HO-1 antioxidant. Overall these findings position MOTS-c as a promising treatment for metabolic diseases as well as a potential dietary supplement to boost ATP availability.
ContributorsRizvi, Hasan (Author) / Hyatt, JP (Thesis director) / Kingsbury, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05
ContributorsRizvi, Hasan (Author) / Hyatt, JP (Thesis director) / Kingsbury, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05