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- All Subjects: psychology
- Creators: Schweitzer, Nicholas
Description
The prevalence of chronic illness among children in the United States is on the rise (CDC, 2014). Having a child with a chronic illness can be a substantial source of stress for a couple, including physical, emotional, and financial demands of caregiving as well as difficult decision-making regarding the child’s health (Mayo Clinic, 2015). Coping with such stressors can have a negative effect on the couple’s well-being, and, if not managed within the relationship, can lead to increased negative outcomes for both partners. Partners can, however, learn to cope with stress by engaging in the coping process together with dyadic coping (DC). Couples can engage in positive (i.e., supportive emotion-focused, supportive problem-focused, and delegated) or negative forms of DC. DC has been shown to mitigate stress for couples, while increasing reports of individual well-being (IWB) and relational well-being (RWB), but it has not been examined in the context of couples with a child with a chronic illness.
To bridge this gap, the present study examined how couples cope with general stress as well as stress associated with their child’s diagnosis of a chronic illness (CI-related stress) and whether positive DC and negative DC moderate association between stress (general stress and CI-related stress) and well-being (IWB and RWB). Consistent with hypotheses, there were significant main effects of both types of stress (general and CI-related stress) on both types of well-being (IWB and RWB). Contrary to the hypotheses that DC (positive DC and negative DC) would moderate the associations between both types of stress and both types of well-being, only one significant interaction was found between CI-related stress and negative DC on IWB. Implications of these findings are discussed.
To bridge this gap, the present study examined how couples cope with general stress as well as stress associated with their child’s diagnosis of a chronic illness (CI-related stress) and whether positive DC and negative DC moderate association between stress (general stress and CI-related stress) and well-being (IWB and RWB). Consistent with hypotheses, there were significant main effects of both types of stress (general and CI-related stress) on both types of well-being (IWB and RWB). Contrary to the hypotheses that DC (positive DC and negative DC) would moderate the associations between both types of stress and both types of well-being, only one significant interaction was found between CI-related stress and negative DC on IWB. Implications of these findings are discussed.
ContributorsJohnson, Courtney K (Author) / Randall, Ashley K. (Thesis advisor) / Robinson-Kurpius, Sharon (Committee member) / Kinnier, Richard (Committee member) / Arizona State University (Publisher)
Created2016
Description
Although most Americans support capital punishment, many people have misconceptions about its efficacy and administration (e.g., that capital punishment deters crime). Can correcting people’s inaccurate attitudes change their support for the death penalty? If not, are there other strategies that might shift people’s attitudes about the death penalty? Some research suggests that statistical information can correct misconceptions about polarizing topics. Yet, statistics might be irrelevant if people support capital punishment for purely retributive reasons, suggesting other argumentative strategies may be more effective. In Study 1, I compared how two different interventions shifted attitudes towards the death penalty. In Studies 2 - 4 I examined what other attitudes shape endorsement of capital punishment, and used these findings to develop and test an educational intervention aimed at providing information about errors in the implementation of the death penalty. Altogether, these findings suggest that attitudes about capital punishment are based on more than just retributive motives, and that correcting misconceptions related to its administration and other relevant factors reduces support for the death penalty.
ContributorsMiske, Olivia Anne (Author) / Schweitzer, Nicholas J (Thesis advisor) / Horne, Zachary S (Thesis advisor) / Salerno, Jessica M (Committee member) / Arizona State University (Publisher)
Created2019
Description
An expanse of research has demonstrated that persons with mental illness (PWMI) tend to avoid formal psychological treatment.One possible explanation for this failure to pursue formal treatment is the tendency of religious individuals to construe mental illness as spiritual in nature, leading religious communities to actively discourage emotional and psychological help-seeking through non-spiritual means. The present study examined help-seeking behaviors among religious PWMI by examining the impact of religiosity and gender on the relationship between mental illness stigma and help-seeking behaviors. Results indicate that higher levels of perceived stigma and religious salience relate to higher reported indirect support-seeking (ISS). Moreover, only religious salience appears to significantly relate to ISS among men, whereas perceived mental illness stigma significantly predicts direct and indirect support-seeking behaviors among women.
ContributorsMalouf, Laura Means (Author) / Mickelson, Kristin (Thesis advisor) / Hall, Deborah (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2020
Description
Biases have been studied in many legal contexts, including sexual assault cases. Sexual assault cases are complex because there are many stages that biases can come into play and have lasting effects on the rest of the case proceedings. One aspect that has not been widely explored is how people perceive institutions’ liability in sexual assault cases based on an obligation to create non-discriminating environments for members and employees according to laws like Title VII and Title IX. The current project focused on how and why cognitive biases affect laypeople’s judgment. Specifically, laypeople’s ability to discern the strength of evidence in civil sexual assault cases against institutions. This was addressed in a series of two studies, with samples collected from Prolific Academic (n = 90) and Arizona State University students (n = 188) for Study 1 (N = 278), and Prolific Academic in Study 2 (N = 449). Both studies used Latin-square design methods, with within and between subject elements, looking at how confirmation bias influenced decisions about whether an institution demonstrated negligence, and thus liability, in the way they responded to sexual assault allegations within their institution. Results from these studies suggest that jurors are overall accurately able to differentiate between weak and strong cases. However, consistent with previous literature, jurors may be susceptible to confirmation bias from outside information (e.g., news stories) and negatively influenced by their personal attitudes (e.g., rape myth acceptance). Given the increased attention of the Me Too movement, these results provide an initial insight into how individuals may be judging these types of cases against institutions.
ContributorsMcCowan, Kristen (Author) / Neal, Tess M.S. (Thesis advisor) / Salerno, Jessica M (Committee member) / Davis, Kelly C (Committee member) / Arizona State University (Publisher)
Created2020
Description
In the legal system, the prediction of a person’s risk of committing a crime has mostly been based on expert judgment. However, newer techniques that employ machine learning (ML)—a type of artificial intelligence—are being implemented throughout the justice system. Yet, there is a lack of research on how the public perceives and uses machine learning risk assessments in legal settings. In two mock-trial vignette studies, the perception of ML-based risk assessments versus more traditional methods was assessed. Study 1 was a 2 (severity of crime: low, high) x 2 (risk assessment type: expert, machine learning) x 2 (risk outcome: low, high) between-subjects design. Participants expressed ethical concerns and discouraged the use of machine learning risk assessments in sentencing decisions, but punishment recommendations were not affected. Study 2 was a within-subjects design where participants were randomly assigned read through one of three crime scenarios (violent, white-collar, sex offense) and one of three risk assessment techniques (expert, checklist, machine learning). Consistent with Study 1, participants had ethical concerns and disagreed with the use of machine learning risk assessments in bail decisions, yet their own decisions and recommendations did not reflect these concerns. Overall, laypeople express skepticism toward these new methods, but do not appear to differentially rely on ML-based versus traditional risk assessments in their own judgments.
ContributorsFine, Anna (Author) / Schweitzer, Nicholas (Thesis advisor) / Salerno, Jessica (Committee member) / Smalarz, Laura (Committee member) / Arizona State University (Publisher)
Created2021
Description
Concussion, or mild traumatic brain injury (mTBI), is a frequent cause of brain damage among youth and, therefore, represents a major public health problem. While most youth recover from concussion within 2 to 4 weeks, some concussed children and adolescents endure prolonged symptoms, along with mood disturbance sequelae for months. Few studies have assessed mood disturbance and concussion in pediatric populations. Additional research is necessary to understand pediatric concussion recovery and mood disturbance better, to guide early intervention efforts, and to improve pediatric concussion care. The purpose of this study was to examine how symptoms of mood disturbance (i.e., anxiety, depression, anger) and somatization relate to the odds of concussion recovery in male and female youth 12 to 17 years of age, who presented for neuropsychological evaluation after head injury. Significantly fewer females were deemed recovered at initial neuropsychological evaluation compared to males. Bivariate analyses of mood disturbance and somatization predictors revealed significant group differences in symptom burden between those determined recovered from concussion and those who had not recovered. Logistic regressions of each mood disturbance variable and somatization on concussion recovery suggested a modest decline in the odds of recovery as symptoms of mood disturbance or somatization increase. A multivariable logistic regression model of mood disturbance predictors, somatization, gender, and age was significant and explained over a quarter of the variance in concussion recovery; however, after a backward variable selection procedure, only depression and somatization symptoms were significant in the final model and accounted for a modest decline in the odds of concussion recovery at initial evaluation. Results replicate and extend research findings in pediatric concussion.
ContributorsBarros, Kathleen (Author) / Kinnier, Richard (Thesis advisor) / Kurpius, Sharon (Committee member) / Lavoie, Michael (Committee member) / Arizona State University (Publisher)
Created2021
Description
Depression has been found to be a major problem for young adults in college, with multiple studies indicating high prevalence rates for this population. College students struggling with depression suffer from various consequences, including academic impairment and suicidal ideation, with suicide being a leading cause of death for people in the typical age range for undergraduates. Grounded in cognitive behavior theory and humanistic theory, this study examined the intra and interpersonal factors related to depression among undergraduates. Specifically, the interrelations between friend social support, sense of belonging to the college, mattering to friends, hope, and depressive symptoms were explored. Sex and number of close friends were controlled for, as the literature also showed evidence of their significant relations to depression. The sample consisted of 177 undergraduates between the ages of 18 and 25 from a large southwestern university. Participants responded to an online survey. While participants represented a diverse range of ethnicities, the majority were White. Hierarchical multiple regression analyses revealed that hope and sense of belonging to the college negatively predicted depressive symptoms. Furthermore, through zero-order correlations, it was found that friend social support, sense of belonging to the college, mattering to friends, and hope were all positively correlated with each other. Implications for prevention and clinical practice include the roles that counselors, college personnel, and students play in the battle against depression.
ContributorsTang, Edwin (Author) / Robinson Kurpius, Sharon E (Thesis advisor) / Kinnier, Richard (Committee member) / Bludworth, James (Committee member) / Arizona State University (Publisher)
Created2021
Description
Risk assessments are key legal tools that can inform a number of legal decisions regarding parole sentencing and predict recidivism rates. Due to assessments being
historically performed by humans, they can be prone to bias and have come under various
amounts of scrutiny. The increased capability and application of machine learning
technology has lead the justice system to incorporate algorithms and codes to increase
accuracy and reliability. This study researched laypersons’ attitudes towards these algorithms
and how they would change when exposed to an algorithm that made errors in the risk
assessment process. Participants were tasked with reading two vignettes and answering a series
of questions to assess the differences in their perceptions towards machine learning and
clinician-based risk assessments. The research findings showed that individuals lent more trust
to clinicians and had more confidence in their assessments when compared to machines, but
were not significantly more punitive when it came to attributing blame and judgement for the
consequences of an incorrect risk assessment. Participants had a significantly more positive
attitude towards clinician-based risk assessments, noting their assessments as being more
reliable, informed, and trustworthy. Participants were also asked to come to a parole decision
using the assessment of either a clinician or machine learning algorithm at the end of the study
and rate their own confidence in their decision. Results found that participants were only
significantly less confident in their decision when exposed to previous instances of risk
assessments with error, but that there was no significant difference in their confidence based
solely on who conducted the assessment.
ContributorsMa, Angeline (Author) / Schweitzer, Nicholas (Thesis advisor) / Powell, Derek (Committee member) / Smalarz, Laura (Committee member) / Arizona State University (Publisher)
Created2023
Description
Several states within the United States have recently passed the Victim Life Photo Act, which allows prosecutors to present photographs of alleged murder victims when they were alive during the guilt phase of a trial. Critics argue that these photographs do not offer any relevant information about the crime or the defendant’s potential guilt and might bias jurors to vote guilty based on their sympathy for the victim—perhaps disproportionally so for high-status victims. Two mock trial experiments tested whether online participants who viewed alleged murder victim photographs would convict more because they increase anger, disgust, fear, sadness, and/or sympathy. Mock jurors who saw photographs of White (but not racial minority) victims while they were alive reported more sympathy for the victim relative to those who saw the same evidence without a photograph of the living victim—but the sympathy did not increase convictions (Study 1). Study 2 extended this study by testing whether the living victim photographs are more impactful in conjunction with seeing gruesome photographs of the victim after her death, creating a particularly disturbing contrast effect versus seeing the living photograph alone. Study 2 found that (a) living victim photographs on their own again had no effect on participants’ verdicts, (b) gruesome photographs on their own increased convictions through increased disgust, and (c) participants who saw both living and gruesome murder victim photographs (versus gruesome alone) were more conviction prone due to increased anger and sympathy. These studies inform current debates regarding the controversial Victim Life Photo Act: Admitting living victim photographs during the guilt phase—if presented along with gruesome photographs—can make jurors more sympathetic and angry, which can increase convictions.
ContributorsAdamoli, Madison Marie (Author) / Salerno, Jessica M (Thesis advisor) / Neal, Tess (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2020