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- Creators: Arizona State University
Description
The sacred San Francisco Peaks in northern Arizona have been at the center of a series of land development controversies since the 1800s. Most recently, a controversy arose over a proposal by the ski area on the Peaks to use 100% reclaimed water to make artificial snow. The current state of the San Francisco Peaks controversy would benefit from a decision-making process that holds sustainability policy at its core. The first step towards a new sustainability-focused deliberative process regarding a complex issue like the San Francisco Peaks controversy requires understanding the issue's origins and the perspectives of the people involved in the issue. My thesis provides an historical analysis of the controversy and examines some of the laws and participatory mechanisms that have shaped the decision-making procedures and power structures from the 19th century to the early 21st century.
ContributorsMahoney, Maren (Author) / Hirt, Paul W. (Thesis advisor) / Tsosie, Rebecca (Committee member) / White, Dave (Committee member) / Arizona State University (Publisher)
Created2011
Description
Research has shown that a developmental process of maturing out of alcohol involvement occurs during young adulthood, and that this process is related to both young adult role transitions (e.g., marriage) and personality developmental (e.g., decreased disinhibition and neuroticism). The current study extended past research by testing whether protective marriage and personality effects on maturing out were stronger among more severe late adolescent drinkers, and whether protective marriage effects were stronger among those who experienced more personality development. Parental alcoholism and gender were tested as moderators of marriage, personality, and late adolescent drinking effects on maturing out; and as distal predictors mediated by these effects. Participants were a subsample (N = 844; 51% children of alcoholics; 53% male, 71% non-Hispanic Caucasian, 27% Hispanic; Chassin, Barrera, Bech, & Kossak-Fuller, 1992) from a larger longitudinal study of familial alcoholism. Hypotheses were tested with latent growth models characterizing alcohol consumption and drinking consequence trajectories from late adolescence to adulthood (age 17-40). Past findings were replicated by showing protective effects of becoming married, sensation-seeking reductions, and neuroticism reductions on the drinking trajectories. Moderation tests showed that protective marriage effects on the drinking trajectories were stronger among those with higher pre-marriage drinking in late adolescence (i.e., higher growth intercepts). This might reflect role socialization mechanisms such that more severe drinking produces more conflict with the demands of new roles (i.e., role incompatibility), thus requiring greater drinking reductions to resolve this conflict. In contrast, little evidence was found for moderation of personality effects by late adolescent drinking or for moderation of marriage effects by personality. Parental alcoholism findings suggested complex moderated mediation pathways. Parental alcoholism predicted less drinking reduction through decreasing the likelihood of marriage (mediation) and muting marriage's effect on the drinking trajectories (moderation), but parental alcoholism also predicted more drinking reduction through increasing initial drinking in late adolescence (mediation). The current study provides new insights into naturally occurring processes of recovery during young adulthood and suggests that developmentally-tailored interventions for young adults could harness these natural recovery processes (e.g., by integrating role incompatibility themes and addressing factors that block role effects among those with familial alcoholism).
ContributorsLee, Matthew R. (Author) / Chassin, Laurie (Thesis advisor) / Corbin, William R. (Committee member) / Mackinnon, David P (Committee member) / Presson, Clark C. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Accumulating evidence implicates exposure to adverse childhood experiences in the development of hypocortisolism in the long-term, and researchers are increasingly examining individual-level mechanisms that may underlie, exacerbate or attenuate this relation among at-risk populations. The current study takes a developmentally and theoretically informed approach to examining episodic childhood stressors, inherent and voluntary self-regulation, and physiological reactivity among a longitudinal sample of youth who experienced parental divorce. Participants were drawn from a larger randomized controlled trial of a preventive intervention for children of divorce between the ages of 9 and 12. The current sample included 159 young adults (mean age = 25.5 years; 53% male; 94% Caucasian) who participated in six waves of data collection, including a 15-year follow-up study. Participants reported on exposure to negative life events (four times over a 9-month period) during childhood, and mothers rated child temperament. Six years later, youth reported on the use of active and avoidant coping strategies, and 15 years later, they participated in a standardized psychosocial stress task and provided salivary cortisol samples prior to and following the task. Path analyses within a structural equation framework revealed that a multiple mediation model best fit the data. It was found that children with better mother-rated self-regulation (i.e. low impulsivity, low negative emotionality, and high attentional focus) exhibited lower total cortisol output 15 years later. In addition, greater self-regulation in childhood predicted greater use of active coping in adolescence, whereas a greater number of negative life events predicted increased use of avoidant coping in adolescence. Finally, a greater number of negative events in childhood predicted marginally lower total cortisol output, and higher levels of active coping in adolescence were associated with greater total cortisol output in young adulthood. Findings suggest that children of divorce who exhibit better self-regulation evidence lower cortisol output during a standardized psychosocial stress task relative to those who have higher impulsivity, lower attentional focus, and/or higher negative emotionality. The conceptual significance of the current findings, including the lack of evidence for hypothesized relations, methodological issues that arose, and issues in need of future research are discussed.
ContributorsHagan, Melissa (Author) / Luecken, Linda (Thesis advisor) / MacKinnon, David (Committee member) / Wolchik, Sharlene (Committee member) / Doane, Leah (Committee member) / Arizona State University (Publisher)
Created2013
Description
The current dissertation focused on the risks and rewards of the digital context in adolescent romantic relationships. Adolescent romantic relationships are a pivotal developmental milestone and a foundation for future relationship functioning. Thus, it is vital to understand how adolescents function within their romantic relationships to identify potential intervention points that can improve adolescents’ relationship skills. Adolescents frequently utilize technology within their relationships, with positive and negative implications. Thus, the digital context is an important area of research for adolescent romantic relationship functioning. The neo-ecological theory and the transformation framework help contextualize the digital context's impact on adolescent romantic relationships. The first study utilized two experiments to test the effects of an adolescent’s romantic partner hypothetically ”liking” a digital relationship threat’s Instagram post on their feelings of jealousy and digital dating abuse behaviors. Adolescents reported greater feelings of jealousy and engagement in digital dating abuse behaviors when their romantic partner “liked” a post from a different-gendered individual, and effects were exacerbated when that individual was high on attractiveness. While the digital context may serve as a risk context for adolescent relationships, the risk conferred may depend on the couple's functioning. Thus, the second study examined how sexting among adolescent couples was associated with their daily affect. Results demonstrate that while sexting may boost an adolescent’s affect on the same day, it is related to worse affect as the days pass. Lastly, the digital context can also be an external stressor that impacts the relationship. Thus, the third study examined how daily digital stress exposure during the COVID-19 pandemic is associated with late adolescent romantic couples’ substance use and mental health. This study examined actor and partner effects to assess the dyadic nature of stress contagion between romantic partners. This dissertation advances the current literature on associations between the digital context, adolescent development, and adolescent romantic relationship functioning.
ContributorsQuiroz, Selena (Author) / Ha, Thao (Thesis advisor) / Corbin, William R (Committee member) / McNeish, Daniel (Committee member) / Iida, Masumi (Committee member) / Arizona State University (Publisher)
Created2024
Description
Due to large data resources generated by online educational applications, Educational Data Mining (EDM) has improved learning effects in different ways: Students Visualization, Recommendations for students, Students Modeling, Grouping Students, etc. A lot of programming assignments have the features like automating submissions, examining the test cases to verify the correctness, but limited studies compared different statistical techniques with latest frameworks, and interpreted models in a unified approach.
In this thesis, several data mining algorithms have been applied to analyze students’ code assignment submission data from a real classroom study. The goal of this work is to explore
and predict students’ performances. Multiple machine learning models and the model accuracy were evaluated based on the Shapley Additive Explanation.
The Cross-Validation shows the Gradient Boosting Decision Tree has the best precision 85.93% with average 82.90%. Features like Component grade, Due Date, Submission Times have higher impact than others. Baseline model received lower precision due to lack of non-linear fitting.
In this thesis, several data mining algorithms have been applied to analyze students’ code assignment submission data from a real classroom study. The goal of this work is to explore
and predict students’ performances. Multiple machine learning models and the model accuracy were evaluated based on the Shapley Additive Explanation.
The Cross-Validation shows the Gradient Boosting Decision Tree has the best precision 85.93% with average 82.90%. Features like Component grade, Due Date, Submission Times have higher impact than others. Baseline model received lower precision due to lack of non-linear fitting.
ContributorsTian, Wenbo (Author) / Hsiao, Ihan (Thesis advisor) / Bazzi, Rida (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2019
Description
This reports investigates the general day to day problems faced by small businesses, particularly small vendors, in areas of marketing and general management. Due to lack of man power, internet availability and properly documented data, small business cannot optimize their business. The aim of the research is to address and find a solution to these problems faced, in the form of a tool which utilizes data science. The tool will have features which will aid the vendor to mine their data which they record themselves and find useful information which will benefit their businesses. Since there is lack of properly documented data, One Class Classification using Support Vector Machine (SVM) is used to build a classifying model that can return positive values for audience that is likely to respond to a marketing strategy. Market basket analysis is used to choose products from the inventory in a way that patterns are found amongst them and therefore there is a higher chance of a marketing strategy to attract audience. Also, higher selling products can be used to the vendors' advantage and lesser selling products can be paired with them to have an overall profit to the business. The tool, as envisioned, meets all the requirements that it was set out to have and can be used as a stand alone application to bring the power of data mining into the hands of a small vendor.
ContributorsSharma, Aveesha (Author) / Ghazarian, Arbi (Thesis advisor) / Gaffar, Ashraf (Committee member) / Bansal, Srividya (Committee member) / Arizona State University (Publisher)
Created2016
Description
Young women ages 18-29 are the highest users of Information Communication Technology (ICT) in the United States. As a group, they curate and create more online content than any other adult user group (Duggan, 2014). Throughout the research literature, scholars claim that the high rate of technology use among young people is related to their developmental stage (boyd, 2014; Kuper & Mustaki, 2014; Subrahmanyam & Greenfield, 2008; Turkle, 2010). The primary developmental tasks of young adults include forming an adult identity, and sustaining intimate relationships. Developmental psychologists and sociologist hypothesize that ICT’s influence developmental trajectories and outcomes (Jensen & Arnett, 2012). Given the breadth of discussion in the literature about development, and ICT use, there is relatively little research focusing on how young women interpret and internalize these experiences. The primary purpose of this study was to understand the interaction between young adults frequent online use and developmental tasks — identity formation and intimate relationships.
Interviews were conducted with young women (18-29) who qualified as high users (N=22). Participants’ were interviewed twice; the initial interview used a structured schedule, providing uniformity across participants. The second interview was an informal conversation personalized to the participant’s’ interests, experiences, and opinions about the topic. Participants were recruited from across the country, and the diversity in the sample mirrors the heterogeneous nature of the emerging adult population. Two forms of qualitative analysis were used, open thematic coding and narrative analysis.
Findings demonstrated the shift of the networked culture creates a highly individualized life trajectory for young people. Identity and intimacy are still the salient developmental tasks for young adults, but continue evolve throughout the life course. . Narrative analyses were used to show strengths of the critical realism theory, especially the reflexive modes, by using case examples. Lastly, the role of ICT are discussed using four primary themes— augmented relationships, disruptive networks, defining moments, and driven agency. Ultimately, this research study helps provide evidence that online spaces are relational and the interactions a part of sociality. For social workers ability to understand development experiences and other facets of social life, further research is needed.
Interviews were conducted with young women (18-29) who qualified as high users (N=22). Participants’ were interviewed twice; the initial interview used a structured schedule, providing uniformity across participants. The second interview was an informal conversation personalized to the participant’s’ interests, experiences, and opinions about the topic. Participants were recruited from across the country, and the diversity in the sample mirrors the heterogeneous nature of the emerging adult population. Two forms of qualitative analysis were used, open thematic coding and narrative analysis.
Findings demonstrated the shift of the networked culture creates a highly individualized life trajectory for young people. Identity and intimacy are still the salient developmental tasks for young adults, but continue evolve throughout the life course. . Narrative analyses were used to show strengths of the critical realism theory, especially the reflexive modes, by using case examples. Lastly, the role of ICT are discussed using four primary themes— augmented relationships, disruptive networks, defining moments, and driven agency. Ultimately, this research study helps provide evidence that online spaces are relational and the interactions a part of sociality. For social workers ability to understand development experiences and other facets of social life, further research is needed.
ContributorsLindsay, Megan (Author) / Krysik, Judy (Thesis advisor) / LaMendola, Walter (Committee member) / MacEachron, Ann (Committee member) / Arizona State University (Publisher)
Created2016
Description
The goal of this study was to examine the correlation between the brain's preconscious processing of relationship events and direct observation of couples' behavior during a videotaped discussion task. Although we know about the interaction dynamics within romantic relationships that portend conflict and dissatisfaction, very little is known about how individuals read interpersonal events within their relationship. Romantic partners participated in a dyadic EEG (electroencephalogram) lab session in which they played a gambling task. The gambling task consisted of three conditions: 1) individual gambling 2) watching their partners gamble and 3) gambling with advice from their partners. Following the gambling tasks, partners were videotaped discussing relationship topics. Neurocognitive reactions to winning and losing a gamble in response to partner's advice were analyzed as an Evoked Response Potential (ERP). The ERP of interest was the P300, which is associated with the brain making sense of unexpected information. Using an actor partner framework, it was found that the females' P300 predicted observed coercive interaction patterns. This finding suggests that for females with an established coercive relationship with their male partners, positive feedback was unexpected compared to losing.
ContributorsChampion, Charlie (Author) / Dishion, Thomas (Thesis advisor) / Ha, Thao (Committee member) / Randall, Ashley (Committee member) / Arizona State University (Publisher)
Created2016
Description
The production and applications of engineered nanomaterials (ENM) has increased rapidly in the last decade, with release of ENM to the environment through the sewer system and municipal wastewater treatment plants (WWTPs) being of concern. Currently, the literature on ENM release from WWTPs and removal of ENM by WWTPs is insufficient and disorganized. There is little quantitative data on the removal of multi-walled carbon nanotubes (MWCNTs), graphene oxide (GO), or few-layer graphene (FLG), from wastewater onto biomass. The removal of pristine and oxidized MWCNTs (O-MWCNTs), graphene oxide (GO), few-layer graphene (FLG) and Tween™ 20-coated Ag ENM by the interaction with biomass were determined by programmable thermal analysis (PTA) and UV-Vis spectrophotometry. The removal of pristine and O-MWCNTs was 96% from the water phase via aggregation and 30-min settling in presence or absence of biomass with an initial MWCNT concentration of 25 mg/L. The removal of 25 mg/L GO was 65% with biomass concentration at or above 1,000 mg TSS/L. The removal of 1 mg/L FLG was 16% with 50 mg TSS/L. The removal of Tween™ 20 Ag ENM with concentration from 0.97 mg/L to 2.6 mg/L was from 11% to 92% with biomass concentration of 500 mg TSS/L to 3,000 mg TSS/L, respectively.
A database of ENM removal by biomass was established by analyzing data from published papers, and non-linear solid-liquid distribution functions were built into the database. A conventional activated sludge (CAS) model was built based on a membrane bioreactor (MBR) model from a previous paper. An iterative numeric approach was adapted to the CAS model to calculate the result of non-linear adsorption of ENM by biomass in the CAS process. Kinetic studies of the CAS model showed the model performance changed mostly in the first 10 days after changing influent chemical oxygen demand (COD) concentration, and reached a steady state after 11 days. Over 60% of ENMs which have distribution coefficients in the database reached higher than 50% removal by the CAS model under general operational conditions. This result suggests that traditional WWTP which include the CAS process can remove many known types of ENMs in certain degree.
A database of ENM removal by biomass was established by analyzing data from published papers, and non-linear solid-liquid distribution functions were built into the database. A conventional activated sludge (CAS) model was built based on a membrane bioreactor (MBR) model from a previous paper. An iterative numeric approach was adapted to the CAS model to calculate the result of non-linear adsorption of ENM by biomass in the CAS process. Kinetic studies of the CAS model showed the model performance changed mostly in the first 10 days after changing influent chemical oxygen demand (COD) concentration, and reached a steady state after 11 days. Over 60% of ENMs which have distribution coefficients in the database reached higher than 50% removal by the CAS model under general operational conditions. This result suggests that traditional WWTP which include the CAS process can remove many known types of ENMs in certain degree.
ContributorsYu, Zhicheng (Author) / Westerhoff, Paul (Thesis advisor) / Rittmann, Bruce (Committee member) / Herckes, Pierre (Committee member) / Arizona State University (Publisher)
Created2015
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