Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
Displaying 41 - 50 of 85
Description
This study addresses a gap in the literature by examining interactions between parental monitoring and parental autonomy giving/personal autonomy in predicting changes in drinking behavior from high school to college. Using data from two unique studies (study 1 was 62.8% female, n = 425; study 2 was 59.9% female, n = 2245), we analyzed main effects of parental monitoring, parental autonomy-giving, and personal autonomy. We also analyzed interactions between parental monitoring and autonomy-giving, and between parental monitoring and personal autonomy. Analyses found significant main effects of parental monitoring on drinking, with high levels of parental monitoring protecting against heavy drinking. Personal autonomy was a protective factor in both high school and college, whereas parental autonomy-giving did not predict drinking behavior in either high school or during the transition to college. This calls into question the extent to which parental autonomy-giving is a primary influence on personal autonomy. Hypothesized interactions between parental monitoring and parental autonomy giving/personal autonomy were not statistically significant. In summary, parental monitoring seems to be protective in high school, and personal autonomy—but not parental autonomy-giving—is also protective. Whereas the latter finding is well established from previous studies, the protective effect of personal autonomy during the transition to college is a novel finding. This relationship suggests that efforts to identify sources of personal autonomy in early adulthood and methods for increasing autonomy may be warranted.
ContributorsStack, Jaclyn Elaine (Author) / Corbin, William (Thesis director) / Meier, Madeline (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The literature has consistently established levels of adolescent maladjustment well above national norms for both socioeconomic (SES) extremes (Lyman & Luthar 2014). Yet literature on positive adolescent adjustment, and its protective or even corrective factors is lacking (Eisenberg, Zhou, & Coller, 2001). This study examined the effects of gender and SES on parent attachment in relation to reports of prosocial behavior. Eleventh grade adolescents (N = 397) were recruited from two public high schools for academically-gifted students who were either high or low-level SES (i.e. the extremes). The students provided passive consent and answered questions on their demographics, perceived relationship with their parents, and tendency to behave in a prosocial manner. Multivariate analyses of variance and follow up analyses of variance were run by gender and SES to determine main effects for gender and SES on parent attachment and prosocial behavior. Regressions following preliminary correlations analyzed whether parental attachment predicted higher levels of adolescent prosocial behavior. Results demonstrated that females communicated with their mothers significantly more and reported higher levels of prosocial behavior than their male counterparts. Findings with regard to SES revealed that high SES adolescents reported increased parent attachment, whereas low SES adolescents reported higher levels of community\u2014based prosocial behaviors. Finally, certain dimensions of parent attachment predicted increases and decreases only in specific prosocial behaviors. Because prosocial behaviors change throughout adolescence, future ventures should consider a longitudinal analysis to obtain a more comprehensive picture of adolescent positive adjustment.
ContributorsAli, Hira (Author) / Luthar, Suniya (Thesis director) / Infurna, Frank (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The purpose of this thesis study is to widen the understanding of the effect culture on self-improvement. Past research found that Japanese students, when compared to their North American counterparts, are more likely to strive for self-improvement by persisting when they encounter academic setbacks. In addition to North Americans and Asians, this thesis examines South Asians as well. It is hypothesized that South Asians will have similar levels of self-improvement as East Asians. This thesis also looks at possible explanations for why culture affects self-improvement. Two variables, future self-connectedness and growth mindset, are proposed as these explanations. It is hypothesized that culture affects future self-connectedness and growth mindset, and those two variables in turn influence self-improvement.
For this thesis, 100 undergraduate and recent college graduates completed online self-report measures. Results of independent t-tests showed that there were no significant differences between South and East Asians in self-improvement, which is consistent with what was hypothesized. There were also no differences between South and East Asians in future self-connectedness or growth mindset. The two Asian groups were then combined and compared to North Americans. Further independent t-tests were run, and results found that while the trend was as expected and Asians exhibited higher levels of self-improvement than North Americans, they did not exhibit significantly higher levels. There were also no significant differences between North Americans and Asians in growth mindset, however, North Americans had significantly higher levels of future self-connectedness than Asians, contrary to expectation. Results of mediation regressions found that neither future self-connectedness nor growth mindset significantly explained the effect of culture on self-improvement.
For this thesis, 100 undergraduate and recent college graduates completed online self-report measures. Results of independent t-tests showed that there were no significant differences between South and East Asians in self-improvement, which is consistent with what was hypothesized. There were also no differences between South and East Asians in future self-connectedness or growth mindset. The two Asian groups were then combined and compared to North Americans. Further independent t-tests were run, and results found that while the trend was as expected and Asians exhibited higher levels of self-improvement than North Americans, they did not exhibit significantly higher levels. There were also no significant differences between North Americans and Asians in growth mindset, however, North Americans had significantly higher levels of future self-connectedness than Asians, contrary to expectation. Results of mediation regressions found that neither future self-connectedness nor growth mindset significantly explained the effect of culture on self-improvement.
ContributorsShaikjamaludeen, Shaikhameedha (Author) / Kwan, Virginia (Thesis director) / Shiota, Michelle (Committee member) / Davis, Mary (Committee member) / School of Molecular Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Depression, anxiety, and suicidal thoughts or actions are on the rise in adolescents (National Institute of Mental Health, 2015; Bridge, Asti, & Horowitz, 2015). Parents, school administrators, and therapists are searching for resiliency factors with in at-risk groups to aid students in need. In previous work, Luthar and Zigler (1992) reported that intelligent youth are more resilient than less intelligent youth under low stress conditions but they lose their advantage under high stress conditions. This study examined whether intelligence (reflected in grade point average; GPA) and maladaptive (internalizing and externalizing symptoms) behaviors are negatively related in adolescents, and tested whether level of stress, reflected in emotion regulation and friendship quality, moderated that association. It also probed whether the relationships differ by gender. Sixth-graders (N=506) were recruited with active parental consent from three middle schools. Adolescents completed self-report questionnaires Regarding demo graphics, maladaptive behaviors, emotion regulation, and friendship quality, and GPA data were collected from the school. Regression analyses found that GPA was negatively related to externalizing symptoms. Girls with poor friendship communication report significantly higher maladaptive behaviors. This relation was more pronounced for girls with high GPAs, as predicted. Results support the theory that intelligent female adolescents are more reactive under adverse circumstances. Future efforts should follow students through middle school into high school to evaluate whether friendships remain important to adjustment, hold for boys as well as girls, and have implications for relationship interventions.
ContributorsGonzales, Ashlyn Carol (Author) / Luthar, Suniya (Thesis director) / Davis, Mary (Committee member) / Infurna, Frank (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Emotions have been defined as coordinated and functional changes in subjective experience, motivation, physiological activation, instrumental behavior, expressive behavior, and cognition that are evoked by important threats or opportunities in the environment. The proposed study looks at cognitive changes associated with the experience of several positive emotions, with a specific focus on awe. Prior research shows that positive emotions tend to increase people's use of cognitive heuristics (i.e. mental shortcuts used to simplify information we intake from the environment) and changes how they apply rules of thumb from stored knowledge to make decisions. Stereotypes, or assumptions about the characteristics held by individual members of a group, are one such heuristic. Awe, in contrast to other positive emotions, has been found to reduce people's tendency to rely on heuristics, rather than increasing its use. Thus, awe should tend to reduce stereotyping specifically. Participants made judgments on three characteristics and two types of theoretically valuable true/false statements. However, for both our measures, awe had no significant effect on stereotyping. Participants in the enthusiasm condition were significantly more likely than those in the awe condition to correctly identify stereotype-inconsistent statements present in the biography, which is the opposite of the predicted direction. Patterns for all four emotion conditions trended similarly to our predictions for stereotype-consistent statements correctly marked as being absent in the biography. There were no significant differences in ratings of three traits. Implications for enthusiasm and awe are discussed in the context of stereotypes of social objects and schemas of nonsocial objects.
ContributorsMurwin, Paige Elizabeth (Co-author) / O'Neil, Makenzie (Co-author) / Shiota, Michelle (Thesis director) / Davis, Mary (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The frontostriatal reward circuit serves an underlying role in reward processing, cognitive planning, and motor control in the context of achieving a goal. Furthermore, research suggests a relationship between the reward circuits and behavior expressed in Attention Deficit Hyperactivity Disorder (ADHD); however, the specific structural differences of the reward circuits in those with ADHD remain ambiguous. Diffusion tensor imaging (DTI) techniques were used to analyze diffusion weighted magnetic resonance imaging (DWI) data in order to examine the structural connectivity of frontostriatal reward pathways in ADHD adolescents compared to typically developing (TD) adolescents. It was hypothesized that measures of impulsivity would be predicted by white matter tract integrity measures in frontostriatal tracts related to affective processing (ventromedial prefrontal cortex to ventral striatum, vmPFC) in adolescents with ADHD, and that there would be reduced tract integrity in tracts related to executive control (dorsolateral prefrontal and anterior cingulate cortex—dlPFC and ACC, respectively). Frontostriatal tracts as well as the hippocampus and amygdala were examined in relation to age and impulsivity using both correlation and regression models. Results indicated that impulsivity declined with age in the TD group while no significant trend was identified for the ADHD group. The hypotheses were not supported and results for both predictions on the affective and executive circuits showed opposite trends from what was expected.
ContributorsHarrison, Sydney Rae (Author) / McClure, Samuel (Thesis director) / Brewer, Gene (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Posttraumatic Stress Disorder (PTSD) affects nearly 10% of adult women in general population samples. In populations of impoverished ethnic minority women, those lifetime prevalence rates may possibly exceed national averages due to lack of mental health resources. Mothers with PTSD are more likely to exhibit negative parenting styles and experience higher levels of perceived parenting stress, both of which are associated with poor child outcomes. However, there is a lack of evidence on how maternal PTSD may affect parenting for ethnic minority mothers. This study evaluated the prevalence of lifetime PTSD and its effects on parenting stress and infant problem behaviors in a sample of 322 low-income Mexican-American mothers (mean age = 27.8; 86% born in Mexico). Lifetime PTSD diagnoses were assessed at a prenatal home visit (24-36 weeks gestation) using the WHO Composite International Diagnostic Interview (CIDI). Mothers reported parenting hassles at 24-weeks postpartum (PDLH; Crnic & Greenberg, 1990), and child problem behaviors at infant age one-year (BITSEA; Briggs-Gowan et al., 2004). I hypothesized that 1) women with PTSD would report more parenting stress than women without PTSD, 2) women with PTSD would report more infant problem behavior symptoms than women without PTSD, and 3) parenting stress mediates the relationship between PTSD and infant problem behavior. Results found that 16.5% of women met criteria for past or present PTSD. Compared to women without PTSD, women with PTSD reported more parenting stress but a similar level of infant problem behaviors. Parenting stress significantly mediated the relationship between maternal PTSD and infant problem behaviors. Study findings suggest a need for mental health screenings during prenatal care in order to promote the healthy development of high-risk children.
ContributorsPreves, Ashley Maria (Author) / Luecken, Linda (Thesis director) / Davis, Mary (Committee member) / Mauricio, Anne (Committee member) / Department of Psychology (Contributor) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
This paper explores the idea of xenophilia and the circumstances under which it may occur. Xenophilia is the preference for an outgroup member over an ingroup member. This preference does not have to be amicable, and in fact can be exploitative under certain circumstances. Previous research indicates that xenophobia is much more common, but a few researchers have found support for the existence of xenophilia. To experimentally test the circumstances under which xenophilia might occur, I conducted a survey-based experiment on Amazon’s Mechanical Turk. This consisted of directed visualizations that manipulated participant goal (self-protection vs. mate acquisition) and the resources offered by both a fictitious outgroup and the hometown ingroup, followed by measures of ingroup/outgroup preference. I hypothesized that when the resource offered by the group addressed the participants’ goal, they would prefer the group with the “matched” resource—even if it was the outgroup providing that resource. My hypothesis was not supported, as the univariate analysis of variance for preference for the outgroup was not significant, F (2, 423) = .723, p = .486. This may have occurred because the goal manipulations were not strong enough to counteract the strong natural preference for ingroup members.
ContributorsDrury, Margaret E. (Author) / Neuberg, Steven (Thesis director) / Davis, Mary (Committee member) / Kenrick, Douglas (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The complexity of supply chains (SC) has grown rapidly in recent years, resulting in an increased difficulty to evaluate and visualize performance. Consequently, analytical approaches to evaluate SC performance in near real time relative to targets and plans are important to detect and react to deviations in order to prevent major disruptions.
Manufacturing anomalies, inaccurate forecasts, and other problems can lead to SC disruptions. Traditional monitoring methods are not sufficient in this respect, because com- plex SCs feature changes in manufacturing tasks (dynamic complexity) and carry a large number of stock keeping units (detail complexity). Problems are easily confounded with normal system variations.
Motivated by these real challenges faced by modern SC, new surveillance solutions are proposed to detect system deviations that could lead to disruptions in a complex SC. To address supply-side deviations, the fitness of different statistics that can be extracted from the enterprise resource planning system is evaluated. A monitoring strategy is first proposed for SCs featuring high levels of dynamic complexity. This presents an opportunity for monitoring methods to be applied in a new, rich domain of SC management. Then a monitoring strategy, called Heat Map Contrasts (HMC), which converts monitoring into a series of classification problems, is used to monitor SCs with both high levels of dynamic and detail complexities. Data from a semiconductor SC simulator are used to compare the methods with other alternatives under various failure cases, and the results illustrate the viability of our methods.
To address demand-side deviations, a new method of quantifying forecast uncer- tainties using the progression of forecast updates is presented. It is illustrated that a rich amount of information is available in rolling horizon forecasts. Two proactive indicators of future forecast errors are extracted from the forecast stream. This quantitative method re- quires no knowledge of the forecasting model itself and has shown promising results when applied to two datasets consisting of real forecast updates.
Manufacturing anomalies, inaccurate forecasts, and other problems can lead to SC disruptions. Traditional monitoring methods are not sufficient in this respect, because com- plex SCs feature changes in manufacturing tasks (dynamic complexity) and carry a large number of stock keeping units (detail complexity). Problems are easily confounded with normal system variations.
Motivated by these real challenges faced by modern SC, new surveillance solutions are proposed to detect system deviations that could lead to disruptions in a complex SC. To address supply-side deviations, the fitness of different statistics that can be extracted from the enterprise resource planning system is evaluated. A monitoring strategy is first proposed for SCs featuring high levels of dynamic complexity. This presents an opportunity for monitoring methods to be applied in a new, rich domain of SC management. Then a monitoring strategy, called Heat Map Contrasts (HMC), which converts monitoring into a series of classification problems, is used to monitor SCs with both high levels of dynamic and detail complexities. Data from a semiconductor SC simulator are used to compare the methods with other alternatives under various failure cases, and the results illustrate the viability of our methods.
To address demand-side deviations, a new method of quantifying forecast uncer- tainties using the progression of forecast updates is presented. It is illustrated that a rich amount of information is available in rolling horizon forecasts. Two proactive indicators of future forecast errors are extracted from the forecast stream. This quantitative method re- quires no knowledge of the forecasting model itself and has shown promising results when applied to two datasets consisting of real forecast updates.
ContributorsLiu, Lei (Author) / Runger, George C. (Thesis advisor) / Gel, Esma (Committee member) / Pan, Rong (Committee member) / Janakiram, Mani (Committee member) / Arizona State University (Publisher)
Created2015
Description
The majority of research in experimental design has, to date, been focused on designs when there is only one type of response variable under consideration. In a decision-making process, however, relying on only one objective or criterion can lead to oversimplified, sub-optimal decisions that ignore important considerations. Incorporating multiple, and likely competing, objectives is critical during the decision-making process in order to balance the tradeoffs of all potential solutions. Consequently, the problem of constructing a design for an experiment when multiple types of responses are of interest does not have a clear answer, particularly when the response variables have different distributions. Responses with different distributions have different requirements of the design.
Computer-generated optimal designs are popular design choices for less standard scenarios where classical designs are not ideal. This work presents a new approach to experimental designs for dual-response systems. The normal, binomial, and Poisson distributions are considered for the potential responses. Using the D-criterion for the linear model and the Bayesian D-criterion for the nonlinear models, a weighted criterion is implemented in a coordinate-exchange algorithm. The designs are evaluated and compared across different weights. The sensitivity of the designs to the priors supplied in the Bayesian D-criterion is explored in the third chapter of this work.
The final section of this work presents a method for a decision-making process involving multiple objectives. There are situations where a decision-maker is interested in several optimal solutions, not just one. These types of decision processes fall into one of two scenarios: 1) wanting to identify the best N solutions to accomplish a goal or specific task, or 2) evaluating a decision based on several primary quantitative objectives along with secondary qualitative priorities. Design of experiment selection often involves the second scenario where the goal is to identify several contending solutions using the primary quantitative objectives, and then use the secondary qualitative objectives to guide the final decision. Layered Pareto Fronts can help identify a richer class of contenders to examine more closely. The method is illustrated with a supersaturated screening design example.
Computer-generated optimal designs are popular design choices for less standard scenarios where classical designs are not ideal. This work presents a new approach to experimental designs for dual-response systems. The normal, binomial, and Poisson distributions are considered for the potential responses. Using the D-criterion for the linear model and the Bayesian D-criterion for the nonlinear models, a weighted criterion is implemented in a coordinate-exchange algorithm. The designs are evaluated and compared across different weights. The sensitivity of the designs to the priors supplied in the Bayesian D-criterion is explored in the third chapter of this work.
The final section of this work presents a method for a decision-making process involving multiple objectives. There are situations where a decision-maker is interested in several optimal solutions, not just one. These types of decision processes fall into one of two scenarios: 1) wanting to identify the best N solutions to accomplish a goal or specific task, or 2) evaluating a decision based on several primary quantitative objectives along with secondary qualitative priorities. Design of experiment selection often involves the second scenario where the goal is to identify several contending solutions using the primary quantitative objectives, and then use the secondary qualitative objectives to guide the final decision. Layered Pareto Fronts can help identify a richer class of contenders to examine more closely. The method is illustrated with a supersaturated screening design example.
ContributorsBurke, Sarah Ellen (Author) / Montgomery, Douglas C. (Thesis advisor) / Borror, Connie M. (Thesis advisor) / Anderson-Cook, Christine M. (Committee member) / Pan, Rong (Committee member) / Silvestrini, Rachel (Committee member) / Arizona State University (Publisher)
Created2016