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Description
This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive

This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive (ICAP) framework. The current work combined these two cognitive-based approaches to design collaborative learning activities that can serve as alternatives to existing methods, which carry limitations and challenges. The "preparing-to-interact" method avoids the need for training students in specific collaboration skills or guiding/scripting their dialogic behaviors, while providing the opportunity for students to acquire the necessary prior knowledge for maximizing their discussions towards learning. The study used a 2x2 experimental design, investigating the factors of Preparation (No Prep and Prep) and Type of Activity (Active and Constructive) on deep and shallow learning. The sample was community college students in introductory psychology classes; the domain tested was "memory," in particular, concepts related to the process of remembering/forgetting information. Results showed that Preparation was a significant factor affecting deep learning, while shallow learning was not affected differently by the interventions. Essentially, equalizing time-on-task and content across all conditions, time spent individually preparing by working on the task alone and then discussing the content with a partner produced deeper learning than engaging in the task jointly for the duration of the learning period. Type of Task was not a significant factor in learning outcomes, however, exploratory analyses showed evidence of Constructive-type behaviors leading to deeper learning of the content. Additionally, a novel method of multilevel analysis (MLA) was used to examine the data to account for the dependency between partners within dyads. This work showed that "preparing-to-interact" is a way to maximize the benefits of collaborative learning. When students are first cognitively prepared, they seem to make the most efficient use of discussion towards learning, engage more deeply in the content during learning, leading to deeper knowledge of the content. Additionally, in using MLA to account for subject nonindependency, this work introduces new questions about the validity of statistical analyses for dyadic data.
ContributorsLam, Rachel Jane (Author) / Nakagawa, Kathryn (Thesis advisor) / Green, Samuel (Committee member) / Stamm, Jill (Committee member) / Arizona State University (Publisher)
Created2013
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Description
This dissertation explores the lives of women who are on the Severely Mentally Ill (SMI) caseload at Maricopa County Adult Probation in Arizona (The Phoenix metro region). The project focuses on three primary issues: (1) what are the pathways to the criminal justice and mental health systems for women on

This dissertation explores the lives of women who are on the Severely Mentally Ill (SMI) caseload at Maricopa County Adult Probation in Arizona (The Phoenix metro region). The project focuses on three primary issues: (1) what are the pathways to the criminal justice and mental health systems for women on the SMI caseload (2) how does discretion and expansive formal social control (both benevolent and coercive) impact the lives of these women on the SMI caseload and (3) what are the gendered aspects to successful completion of SMI probation. To answer these questions a mixed-methods research design was employed. First, in-depth semi-structured interviews were completed with 65 women on the SMI caseload. Second, these interviews were supplemented with a case file review of each participant, and field observations (encompassing roughly 100 hours) were conducted at the Maricopa County Mental Health Court. Third, analysis also included 5.5 years of quantitative intake data from the SMI caseload, exploring demographic information and risk and assessment needs scores. The biographies of the women on the SMI caseload revealed similar histories of victimization, substance abuse, and relationship difficulty that previous pathways research has noted. Additionally, mental health problems directly impacted the path to the criminal justice system for some women on the SMI caseload. Results also showed many aspects of expanded social control for women on the SMI caseload. This expanded control appeared to be gendered at times and often created double binds for women. Finally, quantitative analysis showed that some predictive factors of SMI probation completion were gendered. Policy implications and summaries of findings are discussed.
ContributorsMulvey, Philip (Author) / Decker, Scott H. (Thesis advisor) / Spohn, Cassia (Committee member) / Holtfreter, Kristy (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Both law and medicine are interpretive practices, and both systems have historically worked in tandem, however ineffectively or tumultuously. The law is, by social mandate, imagined as a "fixed" system of social control, made up of rules and procedures grounded in a reality that is independent of language; although we

Both law and medicine are interpretive practices, and both systems have historically worked in tandem, however ineffectively or tumultuously. The law is, by social mandate, imagined as a "fixed" system of social control, made up of rules and procedures grounded in a reality that is independent of language; although we know that law is both revised and interpreted every day in courtroom practice, to imagine the law, the system that keeps bad people behind bars and good people safe, as indeterminate or, worse, fallible, produces social anxieties that upend our cultural assumptions about fairness that predate our judicial system. This imaginary stability, then, is ultimately what prevents the legal system from evolving in consonance with developments in the mental health professions, as inadequate as that discursive system may be for describing and categorizing the infinite possibilities of mental illness, specifically where it is relevant to the commission of a crime. Ultimately, the insanity plea raises the specter of the endless interpretability of the law and mental illness and, therefore, the frailty of the justice system, which makes each insanity defense trial emblematic of larger social anxieties about social control, fairness, and susceptibility to mental illness or the actions of mentally ill people.
ContributorsAlden, Andrea Lisa (Author) / Daly Goggin, Maureen (Thesis advisor) / Carlson, A. Cheree (Committee member) / Roberts-Miller, Patricia (Committee member) / Arizona State University (Publisher)
Created2014
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Description
In 2012, there were an estimated 43.7 million adults in the United States that had a diagnosable mental, behavioral, or emotional disorder (US Department of Health and Human Services [HHS], 2013). Given the large frequency of disorders, it is beneficial to learn about what factors influence psychological distress. One construct

In 2012, there were an estimated 43.7 million adults in the United States that had a diagnosable mental, behavioral, or emotional disorder (US Department of Health and Human Services [HHS], 2013). Given the large frequency of disorders, it is beneficial to learn about what factors influence psychological distress. One construct that has been increasingly examined in association with mental disorders is time perspective. The current study will investigate whether or not time perspective, as measured by the Zimbardo Time Perspective Inventory (ZTPI), has a unique contribution to the prediction of psychological distress. Studies have shown that time perspective has been related to psychological symptomology. Also, previous studies have shown that time perspective has been related to the constructs of neuroticism and negative affect, which have also been shown to be related to psychological distress. I also included the deviation from an optimal time perspective (DOTP) as a predictor separate from the ZTPI scales. So, I investigated whether or not time perspective has a unique influence on psychological distress when controlling for the previously mentioned related constructs. I also controlled for gender and age by including them as covariates in the regression analyses. I found that the past positive sub-scale and DOTP were significant predictors of psychological distress. Implications of these findings are discussed.
ContributorsZoloto, Alexander (Author) / Tracey, Terence (Thesis advisor) / Kemer, Gulsah (Committee member) / Randall, Ashley (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Multiple studies have found that writing with self-compassion about a difficult event helps promote mental health and improve affect in college students and non-clinical populations (Johnson & O'Brien, 2013; Leary et al, 2007; Shapira & Mongrain, 2010). This study investigated whether a self-compassion writing intervention would lead to increases

Multiple studies have found that writing with self-compassion about a difficult event helps promote mental health and improve affect in college students and non-clinical populations (Johnson & O'Brien, 2013; Leary et al, 2007; Shapira & Mongrain, 2010). This study investigated whether a self-compassion writing intervention would lead to increases in self-compassion and proactive coping and reductions in depression and physical symptoms in a sample of individuals with different types of mental illness. This study also looked more broadly at the feasibility of conducting an online randomized trial on individuals with mental illness, including psychotic disorders, on Amazon MTurk. Individuals with schizophrenia, schizoaffective disorder, bipolar disorder and/or depression on Amazon MTurk were recruited and randomly assigned to either a (1) treatment condition in which participants wrote with self-compassion or a (2) neutral condition in which participants wrote about how they spent their time. Participants were asked to write for 20 minutes each day for three consecutive days. Outcome measures were administered at baseline, after the three-day intervention, and one month later. Computerized linguistic analysis (LIWC; Pennebaker et al., 2015) was also used to analyze participants' writing to determine if the intervention had the intended effect. Both the treatment and control groups showed significant improvements in self-compassion, proactive coping, general mental health and physical health following the intervention and both groups showed significant improvements in self-compassion, proactive coping and general mental health between the post-test and 1-month follow-up. In addition, the self-compassion writing group's positive affect improved significantly more than the control group after the wave 1 writing intervention and the control group's negative affect improved significantly more than the self-compassion writing group after the wave 2 writing intervention. Overall, the results suggest both self-compassion writing and writing about how one spends one's time may be beneficial for individuals with mental illness with different needs. Moreover, it was found Amazon MTurk may not be a reliable platform for recruiting individuals with psychotic disorders, and that the prevalence of individuals with any mental illness on MTurk may be equal or greater than the prevalence of any mental illness in the general population.
ContributorsUrken, Debra (Author) / LeCroy, Craig W. (Thesis advisor) / Holschuh, Jane (Committee member) / Stalker, Katie (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Mentally ill offenders continue to contribute to mass-incarceration within the United States. The cost, both social and economic, of housing a large number of mentally ill inmates in our prison system has reached a breaking point. The need for empirically founded correctional research, with an emphasis on individuals who suffer

Mentally ill offenders continue to contribute to mass-incarceration within the United States. The cost, both social and economic, of housing a large number of mentally ill inmates in our prison system has reached a breaking point. The need for empirically founded correctional research, with an emphasis on individuals who suffer from a mental illness, is crucial to reducing the number of incarcerated individuals in the United States. The current study analyzes whether mentally ill inmates reported statistically significant differences in levels of perceived reentry social support, when compared to their non-mentally ill counterparts. The current study utilized data from the APVP. The APVP contained a sample of 231 individuals, 121 female and 110 male, from two Arizona Department of Corrections facilities. The majority of respondents were white (44.58%), medium security (40.26%), non-married (77.49%), and had a mean age of 36.04 years (SD=11.74). The current study conducted both bivariate and multivariate analyses to determine whether mentally ill inmates perceived differences in the reentry social support available to them as compared to non-mentally ill inmates. Further multivariate analyses were conducted to determine whether there were any significant differences the key independent variable and the dependent variables across gender. Mentally ill female inmates reported significantly lower rates of perceived reentry social support in a number of emotional support factors. The findings of this study are a crucial first step for future empirical research on inmate perceptions of social support—perceptions that may directly affect successful reentry.
ContributorsOstertag, Nathan L (Author) / Wright, Kevin (Thesis advisor) / Telep, Cody (Committee member) / Young, Jacob (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Training for law enforcement on effective ways of intervening in mental health crises is limited. What is available tends to be costly for implementation, labor-intensive, and requires officers to opt-in. DEFUSE, an interactive online training program, was specifically developed to train law enforcement on mental illness and de-escalation skills. Derived

Training for law enforcement on effective ways of intervening in mental health crises is limited. What is available tends to be costly for implementation, labor-intensive, and requires officers to opt-in. DEFUSE, an interactive online training program, was specifically developed to train law enforcement on mental illness and de-escalation skills. Derived from a stress inoculation framework, the curriculum provides education, skills training, and rehearsal; it is brief, cost-effective, and scalable to officers across the country. Participants were randomly assigned to either the experimental or delayed treatment control conditions. A multivariate analysis of variance yielded a significant treatment-by-repeated-measures interaction and univariate analyses confirmed improvement on all of the measures (e.g., empathy, stigma, self-efficacy, behavioral outcomes, knowledge). Replication dependent t-test analyses conducted on the control condition following completion of DEFUSE confirmed significant improvement on four of the measures and marginal significance on the fifth. Participant responses to BPAD video vignettes revealed significant differences in objective behavioral proficiency for those participants who completed the online course. DEFUSE is a powerful tool for training law enforcement on mental illness and effective strategies for intervening in mental health crises. Considerations for future study are discussed.
ContributorsHacker, Robyn Lea (Author) / Horan, John J (Thesis advisor) / Homer, Judith (Committee member) / Atkinson, Robert K (Committee member) / Arizona State University (Publisher)
Created2017
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Description

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.

ContributorsEmmanuelli, Michelle (Author) / Jimenez Arista, Laura (Thesis director) / Sever, Amy (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Adolescents experience a lot of stress from changes and difficulties in their physical appearance and their relationships—affecting their mental and emotional well-being as well as their family's relationships and functioning. Research has shown that family music therapy has been fairly successful in helping both children and adolescents and their families

Adolescents experience a lot of stress from changes and difficulties in their physical appearance and their relationships—affecting their mental and emotional well-being as well as their family's relationships and functioning. Research has shown that family music therapy has been fairly successful in helping both children and adolescents and their families improve their communication and mutual attunement while encouraging self-expression in the child and teenager. However, the literature focuses mainly on families with children ages 10 and under, at-risk families, and non-clinical families. Little focus in the research literature is given to adolescents and their mental and emotional health concerns.

The purpose of this thesis was two-fold: 1) to perform a systematic review and collect information from articles that used music interventions or music programs to address the mental health needs of families and adolescents, and 2) to develop a family music therapy program for teenagers with mental health concerns based on the research literature used for the systematic review. Fourteen articles were included in the study. The main interventions and programs were improvisation (n = 6), songwriting (n = 3), lyric analysis or song discussions on client-selected music for introspective and expressive purposes (n = 3), therapeutic singing (n =1) and structured group music making (n = 1). Common outcomes included improvement in the adolescents' self-expression and communication, restoration of family relationships, increased awareness of covert family issues, and improved family communication and interactions. The proposed six-week music therapy program is improvisation-based, considering the amount of improvisational interventions that were found in research. Session plans include interventions such as musical “icebreakers” and warm-ups, improvisation, lyric analysis, and a culminating songwriting experience.

Keywords: family therapy, music therapy, adolescents, mental illness
ContributorsLott, Sophie Norah (Author) / Belgrave, Melita (Thesis advisor) / Hernandez Ruiz, Eugenia (Committee member) / Pereira, Jennifer (Committee member) / Arizona State University (Publisher)
Created2019