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- All Subjects: psychology
- Creators: Schweitzer, Nicholas
- Creators: Tein, Jenn-Yun
- Member of: ASU Electronic Theses and Dissertations
Description
The present study utilized longitudinal data from a high-risk community sample (n= 377; 166 trauma-exposed; 54% males; 52% children of alcoholics; 73% non-Hispanic/Latino Caucasian; 22% Hispanic/Latino; 5% other ethnicity) to test a series of hypotheses that may help explain the risk pathways that link traumatic stress, posttraumatic stress disorder (PTSD) symptomatology, and problematic alcohol and drug use. Specifically, this study examined whether pre-trauma substance use problems increase risk for trauma exposure (the high-risk hypothesis) or PTSD symptoms (the susceptibility hypothesis), whether PTSD symptoms increase risk for later alcohol/drug problems (the self-medication hypothesis), and whether the association between PTSD symptoms and alcohol/drug problems is due to shared risk factors (the shared vulnerability hypothesis). This study also examined the roles of gender and ethnicity in these pathways. A series of logistic and negative binomial regressions were performed in a path analysis framework. A composite pre-trauma family adversity variable was formed from measures of family conflict, family life stress, parental alcoholism, and other parent psychopathology. Results provided the strongest support for the self-medication hypothesis, such that PTSD symptoms predicted higher levels of later alcohol and drug problems among non-Hispanic/Latino Caucasian participants, over and above the influences of pre-trauma family adversity, pre-trauma substance use problems, trauma exposure, and demographic variables. Results partially supported the high-risk hypothesis, such that adolescent substance use problems had a marginally significant unique effect on risk for assaultive violence exposure but not on overall risk for trauma exposure. There was no support for the susceptibility hypothesis, as pre-trauma adolescent substance use problems did not significantly influence risk for PTSD diagnosis/symptoms over and above the influence of pre-trauma family adversity. Finally, there was little support for the shared vulnerability hypothesis. Neither trauma exposure nor preexisting family adversity accounted for the link between PTSD symptoms and later substance use problems. These results add to a growing body of literature in support of the self-medication hypothesis. Findings extend previous research by showing that PTSD symptoms may influence the development of alcohol and drug problems over and above the influence of trauma exposure itself, preexisting family risk factors, and baseline levels of substance use.
ContributorsHaller, Moira (Author) / Chassin, Laurie (Thesis advisor) / Davis, Mary (Committee member) / Pina, Armando (Committee member) / Tein, Jenn-Yun (Committee member) / Arizona State University (Publisher)
Created2014
Description
Recent research has identified affirmation of transcendence and exposure to violent Bible verses as being related to greater prejudice toward value-violating out-groups (Blogowska & Saroglou, 2012; Shen et al., 2013). Effects of exposure to specific Bible verses on attitudes toward out-groups have not been measured in combination with the Post-Critical Belief Scale developed by Hutsebaut (1996). The relationships between exposure to scriptural endorsements of prejudice, affirmation vs. disaffirmation of transcendence, literal vs. symbolic processing of religious content, and prejudice toward value-violating out-groups were examined using an online survey administered to a sample of U.S. adults (N=283). Greater affirmation of transcendence scores were linked to greater prejudice toward atheists and homosexuals and more favorable ratings of Christians and highly religious people. Lower affirmation of transcendence scores were linked to less favorable ratings of Christians and highly religious people and more favorable ratings of atheists. Exposure to scriptural endorsements of prejudice did not have a significant effect on levels of prejudice in this study.
ContributorsGrove, Richard (Author) / Robles, Elías (Thesis advisor) / Hall, Deborah (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2013
Description
Deoxyribonucleic Acid (DNA) evidence has been shown to have a strong effect on juror decision-making when presented in court. While DNA evidence has been shown to be extremely reliable, fingerprint evidence, and the way it is presented in court, has come under much scrutiny. Forensic fingerprint experts have been working on a uniformed way to present fingerprint evidence in court. The most promising has been the Probabilistic Based Fingerprint Evidence (PBFE) created by Forensic Science Services (FSS) (G. Langenburg, personal communication, April 16, 2011). The current study examined how the presence and strength of DNA evidence influenced jurors' interpretation of probabilistic fingerprint evidence. Mock jurors read a summary of a murder case that included fingerprint evidence and testimony from a fingerprint expert and, in some conditions, DNA evidence and testimony from a DNA expert. Results showed that when DNA evidence was found at the crime scene and matched the defendant other evidence and the overall case was rated as stronger than when no DNA was present. Fingerprint evidence did not cause a stronger rating of other evidence and the overall case. Fingerprint evidence was underrated in some cases, and jurors generally weighed all the different strengths of fingerprint testimony to the same degree.
ContributorsArthurs, Shavonne (Author) / McQuiston, Dawn (Thesis advisor) / Hall, Deborah (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2012
Description
Researchers have found inconsistent effects (negative or positive) of social relationships on self-control capacity. The variation of findings may depend on the aspects of social relationships. In this study, rather than examining overall social relationships and self-control, characteristics in social relationships were clearly defined, including social support, social connection and social conflict, to determine their specific effects on self-control. An online survey study was conducted, and 292 college students filled out the survey. For data analysis, path analysis was utilized to examined the direct effect and indirect effect from social relationships to self-control. Results showed social connection and social conflict may indirectly associate with self-control through stress, but social support does not. It may suggest, in traditional stress buffering model, it is the social connection in social support that really reduce the stress. Concerning the direct effects, social support and social connection were significantly associated with self-control directly, but social conflict does not. This result may support the Social Baseline Theory that positive social relationships have direct regulating effects. Results are good for guidance of experimental manipulation of social relationships in study of social influences of self-control.
ContributorsGuan, Xin (Author) / Burleson, Mary (Thesis advisor) / Roberts, Nicole (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2012
Description
In the present research, elements of the intra- (i.e., family dynamics) and extra-family (i.e., characteristics of parents' occupations) contexts were examined in a longitudinal design as associated, broadly, with individuals' mental health, relationship quality, and future orientations among Mexican American families with adolescent offspring in two separate studies. The first study reviewed the utility of applying dyadic data methods to the investigation of family processes, explored the strengths three different analytic approaches (i.e., the actor-partner interdependence model, a two-intercept model, and a difference model), and applied them to the study of marital relationships (N = 246 marital dyads). Results revealed that spouses' marital negativity was related to their own somatic symptoms, whereas, spouses' somatic symptoms were associated with both their own and their partners' marital negativity, with some variations by approach. This study suggested the three analytic approaches, though designed to answer slightly different questions, yielded a similar pattern of results with several important differences. The second study utilized a person-centered approach to identify family-level patterns of both mothers' and fathers' objective occupational characteristics (i.e., self-direction, hazardous conditions, physical activity), as well as the larger sociocultural context of these patterns (N = 160 dual-earner families). Results revealed three distinct occupational contexts: Differentiated High Physical Activity, Incongruent, and Congruent High Self-Direction. Results indicated that families in the Congruent High Self-Direction profile had the highest levels of youth career aspirations, whereas, educational aspirations were the highest among youth in both the Incongruent and Congruent High Self-Direction profiles. Youth-mother and -father conflict was highest in the Congruent High Self-Direction profile, and youth-father warmth was highest for families in the Differentiated High Physical Activity profile. This study suggested that Mexican American parents work in varied occupational contexts, and these contexts were differentially associated with family relationships and youth's orientations toward the future.
ContributorsWheeler, Lorey A (Author) / Updegraff, Kimberly A (Thesis advisor) / Umana-Taylor, Adriana (Committee member) / Christopher, Scott (Committee member) / Tein, Jenn-Yun (Committee member) / Arizona State University (Publisher)
Created2012
Description
Dysregulated cortisol has been linked to a variety of adverse physical and psychological consequences. Stressors in the childhood family environment can influence cortisol activity throughout development. For example, research has shown that both infants and children of depressed mothers exhibit altered levels of cortisol compared to infants and children of non-depressed mothers. It is unclear, however, whether exposure to maternal depression in childhood and adolescence is related to cortisol activity at later stages of development. The current study examined the longitudinal relation between maternal depressive symptoms during late childhood (9-12 years old) and adolescence (15-19 years old) and cortisol activity in offspring in young adulthood (24- 28 years old) in a sample of 40 young adults and their mothers. Maternal depressive symptoms were prospectively assessed at four time points across the 15 year study. Cortisol samples were collected from young adult offspring at the final time point. Findings revealed that higher levels of maternal depressive symptoms during late childhood were associated with lower total cortisol output in young adulthood. Results suggest that attenuated cortisol levels, which put these young adults at risk for a variety of stress-related physical and psychological illnesses, may be a long-term consequence of exposure to maternal depression,. Depressive symptoms in mothers during their child's adolescence, however, did not relate to cortisol output. These findings suggest a sensitive period in late childhood during which the development of HPA activity may be susceptible to the environmental stressor of maternal depression.
ContributorsMahrer, Nicole Eva (Author) / Wolchik, Sharlene (Thesis advisor) / Luecken, Linda (Thesis advisor) / Tein, Jenn-Yun (Committee member) / Arizona State University (Publisher)
Created2011
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
Mediation analysis is integral to psychology, investigating human behavior’s causal mechanisms. The diversity of explanations for human behavior has implications for the estimation and interpretation of statistical mediation models. Individuals can have similar observed outcomes while undergoing different causal processes or different observed outcomes while receiving the same treatment. Researchers can employ diverse strategies when studying individual differences in multiple mediation pathways, including individual fit measures and analysis of residuals. This dissertation investigates the use of individual residuals and fit measures to identify individual differences in multiple mediation pathways. More specifically, this study focuses on mediation model residuals in a heterogeneous population in which some people experience indirect effects through one mediator and others experience indirect effects through a different mediator. A simulation study investigates 162 conditions defined by effect size and sample size for three proposed methods: residual differences, delta z, and generalized Cook’s distance. Results indicate that analogs of Type 1 error rates are generally acceptable for the method of residual differences, but statistical power is limited. Likewise, neither delta z nor gCd could reliably distinguish between contrasts that had true effects and those that did not. The outcomes of this study reveal the potential for statistical measures of individual mediation. However, limitations related to unequal subpopulation variances, multiple dependent variables, the inherent relationship between direct effects and unestimated indirect effects, and minimal contrast effects require more research to develop a simple method that researchers can use on single data sets.
ContributorsSmyth, Heather Lynn (Author) / MacKinnon, David (Thesis advisor) / Tein, Jenn-Yun (Committee member) / McNeish, Daniel (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2022
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
Aggressive and violent behavior is expressed differently across development, but for some adolescents, this behavior leads to criminal justice involvement through arrests and incarceration. Further, according to the biopsychosocial model, aggressive behavior is influenced by both genetics and the environment. This study sought to examine the differential impacts of early childhood environmental cumulative risk and genetic risk on the developmental cascade from middle childhood behavioral aggression and lack of control to adolescent antisocial behavior or callous-unemotional traits, to emerging adult involvement with the criminal justice system, and whether the effects of risk were mitigated by receiving the Family Check-Up (FCU) prevention program in childhood. The sample included high-risk youth (N = 731; 50% female, 50% White, 28% Black, 13% Hispanic, 9% Indigenous, Native Hawaiian, or Asian; of these 13% were multiracial; Mincome = $28,993; representative 515 genotyped) involved in a randomized-controlled trial of the Family Check-Up and followed longitudinally across 11 waves from ages 2 through 19 years. Behavioral measures included parent-report of behavioral aggression and observational lack of control in middle childhood, self-report of antisocial behavior and callous-unemotional (CU) traits in adolescence, and self-report of involvement with the legal system at age 19. Results of longitudinal structural equation modeling (SEM) supported a developmental cascade from middle childhood behavioral aggression to antisocial behavior in adolescence to legal system involvement. Early cumulative environmental risk and polygenic risk tolerance (RT PGS) significantly predicted involvement with the legal system at age 19, while RT PGS also predicted antisocial behavior in adolescence. Further, intervention effects were found for the FCU, such that the FCU disrupted the effects of RT PGS and middle childhood aggression on antisocial behavior and CU traits in adolescence. This study showed that the FCU can mitigate polygenic risk, supporting the benefit of early psychosocial prevention programs. Importantly, this study showed initial evidence that prevention programs targeting early childhood conduct problems could potentially reduce rates of justice system involvement, including arrests and incarceration, by the age of 19.
ContributorsOstner, Savannah Grace (Author) / Lemery-Chalfant, Kathryn (Thesis advisor) / Tein, Jenn-Yun (Committee member) / Davis, Mary C (Committee member) / Arizona State University (Publisher)
Created2024