Matching Items (27)
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Description
This study was been influenced from the perspective of clinical psychology. The main research question was: What personality traits and/or characteristics (in this case emotional characteristics) can influence dating violence? Aspects such as gender, age, sexual orientation, and current relationship status were considered. Given the evolving culture of relationship dominance,

This study was been influenced from the perspective of clinical psychology. The main research question was: What personality traits and/or characteristics (in this case emotional characteristics) can influence dating violence? Aspects such as gender, age, sexual orientation, and current relationship status were considered. Given the evolving culture of relationship dominance, it has been difficult to detect when, and if, people can become potential victims of relationship violence.
Results of the dating violence assessments were reported as well as the results of a personality assessment. The comparisons between the three relationship assessments were inconclusive. This research should be taken as a guidance into the factors of dating violence by taking into consideration the characteristics and personalities of potential victims. It can also be seen as a snapshot of the current time period on the topic of relationship violence and its ideas and its prevalence.
The research conducted was at Arizona State University in three psychology classes. The results included participants relationships, abuse screening scores, and personality assessments. The True Colors personality test showed that the majority of the participants were associated with being emotion driven.
ContributorsValadez, Saily (Author) / Lewis, Stephen (Thesis director) / Roberts, Nicole (Committee member) / Division of Teacher Preparation (Contributor) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description

As threats emerge, change, and grow, the life of a police officer continues to intensify. To help support police training curriculums and police cadets through this critical career juncture, this study proposes a state of the art approach to stress prediction and intervention through wearable devices and machine learning models.

As threats emerge, change, and grow, the life of a police officer continues to intensify. To help support police training curriculums and police cadets through this critical career juncture, this study proposes a state of the art approach to stress prediction and intervention through wearable devices and machine learning models. As an integral first step of a larger study, the goal of this research is to provide relevant information to machine learning models to formulate a correlation between stress and police officers’ physiological responses on and off on the job. Fitbit devices were leveraged for data collection and were complemented with a custom built Fitbit application, called StressManager, and study dashboard, termed StressWatch. This analysis uses data collected from 15 training cadets at the Phoenix Police Regional Training Academy over a 13 week span. Close collaboration with these participants was essential; the quality of data collection relied on consistent “syncing” and troubleshooting of the Fitbit devices. After the data were collected and cleaned, features related to steps, calories, movement, location, and heart rate were extracted from the Fitbit API and other supplemental resources and passed through to empirically chosen machine learning models. From the results of these models, we formulate that events of increased intensity combined with physiological spikes contribute to the overall stress perception of a police training cadet

ContributorsParanjpe, Tara (Author) / Zhao, Ming (Thesis director) / Roberts, Nicole (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
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Description
Mood disorders are highly prevalent, especially in adolescent populations. One potential cause of the widespread nature of these disorders is the formation of stigma around emotionality. Emotion research, while extensive, has not expanded to capture how a parent’s emotion regulation and expression may lead to stigmatized behaviors in their child

Mood disorders are highly prevalent, especially in adolescent populations. One potential cause of the widespread nature of these disorders is the formation of stigma around emotionality. Emotion research, while extensive, has not expanded to capture how a parent’s emotion regulation and expression may lead to stigmatized behaviors in their child affecting that child’s mental health into adulthood. The current thesis aimed to investigate the relevance of this novel concept – emotionality stigma – in the relationship between parental emotionality and adult-child mental health. Using social learning theory, parental emotionality was predicted to influence a child’s emotionality into adulthood. Specifically, this thesis investigated if parental emotion over- and under-expression (dysregulation) would influence adult-children to perceive a stigma around emotionality leading to worse mental health, whereas well-regulated parental emotion expression would relate to adult-child emotional intelligence, leading to better mental health. Moreover, it was predicted that these relationships would differ depending on parent and child gender. To examine these ideas, data was collected from 1,136 college and community individuals through a university survey system and Amazon’s Mechanical Turk. Using a combination of linear regression, PROCESS, and Structural Equation Modeling (SEM) models, the results supported the proposed hypotheses. As predicted, parental dysregulation in childhood predicted impaired adult-child mental health, whereas parental regulation in childhood predicted lower levels of adult-child depression and anxiety. Additionally, emotionality stigma and emotional intelligence partially mediated the relationship between parental emotionality and adult-child mental health. Furthermore, results showed interesting gender differences; male participants were more impacted by both maternal and paternal emotionality as compared to female participants. These findings not only build on emotion research, but also have numerous applications in practice including improving parenting classes and family therapy interventions. This study is the first to explore the role of parental emotionality on adult-child mental health through stigma and emotional intelligence.
ContributorsSeely, Hayley (Author) / Mickelson, Kristin D. (Thesis advisor) / Salerno, Jessica (Committee member) / Roberts, Nicole (Committee member) / Arizona State University (Publisher)
Created2019
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Description
This study was designed to contribute to the existing research on the coping behaviors, social support, and mental health outcomes in parents of children with epilepsy in the United States. A questionnaire was disseminated and administered via a web-based interface. One hundred and fifty-two participants, predominantly Caucasian, married women with

This study was designed to contribute to the existing research on the coping behaviors, social support, and mental health outcomes in parents of children with epilepsy in the United States. A questionnaire was disseminated and administered via a web-based interface. One hundred and fifty-two participants, predominantly Caucasian, married women with more than one child under the age of eighteen completed the survey.

After controlling for demographic variables, mediational analysis revealed that perceived social support explained the relation between perceived child disability and depression and anxiety. Additionally, it partially explained the relation between perceived family burden and depression, anxiety, and stress. Further, parent perception of their child's disability and perceived family burden did not predict emotion-focused or social support coping. However, both emotion-focused and social support coping behaviors were related to reductions in depression in this sample.
ContributorsCarlson, Jeff (Author) / Miller, Paul A. (Thesis advisor) / Vargas, Perla (Committee member) / Roberts, Nicole (Committee member) / Arizona State University (Publisher)
Created2015
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Description
When questions about a person’s mental state arise in court, psychologists are often called in to help. Psychological assessment tools are routinely included in these evaluations to inform legal decision making. In accordance with the Daubert standard, which governs the admissibility of expert testimony, courts are obligated to exclude evidence

When questions about a person’s mental state arise in court, psychologists are often called in to help. Psychological assessment tools are routinely included in these evaluations to inform legal decision making. In accordance with the Daubert standard, which governs the admissibility of expert testimony, courts are obligated to exclude evidence that relies on poor scientific practice, including assessment tools. However, prior research demonstrates that psychological assessment tools with weak psychometric properties are routinely admitted in court, rarely challenged on the basis of their reliability, and if a challenge is indeed raised, often still admitted (Neal et al., 2019). Is neuropsychological assessment evidence in particular vulnerable to the same pitfalls? The present research aimed to 1) quantify the quality of neuropsychological assessment evidence used in court, 2) evaluate whether courts are calibrated to the quality of these tools through the rate and success of legal admissibility challenges raised, and 3) compare forensic mental health evaluators’ experiences and practices with regard to the quality of neuropsychological versus non-neuropsychological assessment tools. Neuropsychological tools appeared to perform worse than non-neuropsychological tools in terms of psychometric quality. However, in a case law analysis, significantly fewer challenges were observed to the legal admissibility of neuropsychological tools than to non-neuropsychological tools. To protect the legitimacy of the legal system and prevent wrongful decisions, it is critical that the evidence on which psychologists’ expert opinions are formed is scientifically valid, and that judges and attorneys adequately scrutinize the quality of evidence introduced in court.
ContributorsMathers, Elizabeth (Author) / Neal, Tess M.S. (Thesis advisor) / Burleson, Mary (Committee member) / Roberts, Nicole (Committee member) / Arizona State University (Publisher)
Created2023
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Description
As threats emerge and change, the life of a police officer continues to intensify. To better support police training curriculums and police cadets through this critical career juncture, this thesis proposes a state-of-the-art framework for stress detection using real-world data and deep neural networks. As an integral step of a

As threats emerge and change, the life of a police officer continues to intensify. To better support police training curriculums and police cadets through this critical career juncture, this thesis proposes a state-of-the-art framework for stress detection using real-world data and deep neural networks. As an integral step of a larger study, this thesis investigates data processing techniques to handle the ambiguity of data collected in naturalistic contexts and leverages data structuring approaches to train deep neural networks. The analysis used data collected from 37 police training cadetsin five different training cohorts at the Phoenix Police Regional Training Academy. The data was collected at different intervals during the cadets’ rigorous six-month training course. In total, data were collected over 11 months from all the cohorts combined. All cadets were equipped with a Fitbit wearable device with a custom-built application to collect biometric data, including heart rate and self-reported stress levels. Throughout the data collection period, the cadets were asked to wear the Fitbit device and respond to stress level prompts to capture real-time responses. To manage this naturalistic data, this thesis leveraged heart rate filtering algorithms, including Hampel, Median, Savitzky-Golay, and Wiener, to remove potentially noisy data. After data processing and noise removal, the heart rate data and corresponding stress level labels are processed into two different dataset sizes. The data is then fed into a Deep ECGNet (created by Prajod et al.), a simple Feed Forward network (created by Sim et al.), and a Multilayer Perceptron (MLP) network for binary classification. Experimental results show that the Feed Forward network achieves the highest accuracy (90.66%) for data from a single cohort, while the MLP model performs best on data across cohorts, achieving an 85.92% accuracy. These findings suggest that stress detection is feasible on a variate set of real-world data using deepneural networks.
ContributorsParanjpe, Tara Anand (Author) / Zhao, Ming (Thesis advisor) / Roberts, Nicole (Thesis advisor) / Duran, Nicholas (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Human Immunodeficiency Virus (HIV) remains a persistent problem around the world, even though antiretroviral therapy has shown to be effective in reducing viral load and limiting transmission of the virus. Due to HIV’s infectious nature, visibility, the populations at risk, and its connections to race, class, and sexuality, it is

Human Immunodeficiency Virus (HIV) remains a persistent problem around the world, even though antiretroviral therapy has shown to be effective in reducing viral load and limiting transmission of the virus. Due to HIV’s infectious nature, visibility, the populations at risk, and its connections to race, class, and sexuality, it is more stigmatized than any other illness. HIV stigma has been associated with increased depression, social isolation, and poor psychological adjustment. HIV stigma can influence disclosure and care-seeking behavior. Internet-based interventions have shown to be effective in increasing knowledge on STIs and HIV, however, researchers have tested strategies that include educating participants on HIV to reduce stigma and have found that informational approaches alone are not effective. There is evidence that emotional intelligence and empathy are associated with prosocial behavior and influence attitudes towards stigmatized groups. Thus, this thesis aims to test an online intervention using an informational video from the Center for Disease Control and Prevention (CDC) in combination with an empathy-generating component to reduce stigma. It was hypothesized that the online intervention would increase HIV knowledge scores (H1), but stigma will only be reduced in the group introduced to the empathy-inducing component (H2) and those with high emotional intelligence would show the greatest reduction in stigmatizing attitudes (H3). Results did not support these hypotheses, suggesting that the CDC’s video does not significantly increase HIV knowledge in the general public. Further, the video intended to generate empathy and reduce stigma was also ineffective. These findings stress the need for further research and questions the effectiveness of empathy-generating interventions (e.g., FACES OF HIV, HIV Justice Network) to increase knowledge and reduce stigma. Future researchers should test the effectiveness of personalized interventions to reduce HIV-related stigma.
ContributorsEl-krab, Renee (Author) / Vargas, Perla (Thesis advisor) / Roberts, Nicole (Committee member) / Chen, Angela (Committee member) / Arizona State University (Publisher)
Created2020