Matching Items (14)
Filtering by
- All Subjects: psychology
- Genre: Academic theses
- Creators: Tein, Jenn-Yun
Description
Comorbidity is a significant problem for current classification systems of psychopathology (i.e., DSM-V). One issue is that the underlying mechanisms shared among comorbid disorders are poorly understood, especially potential psychosocial mechanisms such as family dynamics. The current study used latent class analysis to empirically classify patterns of psychopathology within a large community sample of late adolescents (age 18-19) based on their lifetime psychological adjustment measured using the World Health Organization Composite International Diagnostic Interview. Videotaped family interactions of adolescents (age 16-17) and their parents were micro and macro coded and the resulting family dynamics were compared across the three empirically defined groups of psychological adjustment which emerged from the latent class analysis: 1) an early onset, persistent antisocial behavior class; 2) an emotionally distressed and substance using class; and 3) a typically developing class. It was found that some directly observed family dynamics, including parental monitoring, dyadic positive engagement and coercive engagement discriminated among empirically derived classes. It was also found that particular tasks better discriminated among classes with regard to specific family dynamics (e.g., family activity task best discriminated among classes on dyadic positive engagement). Overall, findings suggest that novel methodologies like latent class analysis can be useful in attempting to map underlying transdiagnostic mechanisms onto the current diagnostic framework. The findings also highlight the importance of taking many variables into consideration when attempting to understand how family dynamics are associated with psychological adjustment.
ContributorsPanza, Kaitlyn E (Author) / Dishion, Thomas J (Thesis advisor) / Crnic, Keith A (Committee member) / Tein, Jenn-Yun (Committee member) / Arizona State University (Publisher)
Created2015
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
Ethnic enclaves, or neighborhoods with high ethnic densities, have been linked with positive health outcomes and lower crime rates. Using data from the Pathways to Desistance project, this study tested whether neighborhood Latino concentration prospectively predicted re-offense rates among a sample of Mexican American juvenile offenders (n = 247). Further, I tested whether the effect of neighborhood Latino concentration on re-offense was moderated by ethnic identity, Mexican orientation, and generation status. Covariates included demographics and risk factors for offending. Results showed that neighborhood Latino concentration, ethnic identity, Mexican orientation, and generation status were not predictive of re-offense rates. Gender, risk for offending, and time spent supervised during the follow-up period predicted re-offense rates one year later. The results highlight the importance of risk assessment for this high risk group.
ContributorsBui, Leena (Author) / Chassin, Laurie (Thesis advisor) / Knight, George (Committee member) / Tein, Jenn-Yun (Committee member) / White, Rebecca (Committee member) / Arizona State University (Publisher)
Created2018
Description
Longitudinal data from European-American (EA) and Mexican-American (MA) families (n = 179 mothers, fathers, and youth; 41% MA) was used to test a bio-psycho-cultural model of the effect of non-responsive parenting on externalizing problems in young adult offspring through the effect on the stress response system. Parenting behavior (acceptance, rejection, harsh discipline) was assessed when children were in late childhood (12-13 years), cortisol samples were collected during late adolescence (18-19 years), and externalizing problems were measured in young adulthood (21-22 years). Latent profile analyses were used to examine patterns of parenting behavior in EA and MA families. A path analysis framework was used to examine how non-responsive parenting interacted with acceptance to predict adolescent stress response and subsequent externalizing problems in EA and MA young adults. Results showed different patterns of parenting behavior in EA versus MA families, with MA families demonstrating a profile of high acceptance and high non-responsiveness at higher rates than EA families. In MA families, youth adherence to the traditional cultural value of familismo related to more positive perceptions of parenting behavior. Across ethnic groups, parent rejection only predicted higher externalizing problems in young adults when acceptance was high. The effect of parent harsh discipline on offspring stress response differed by ethnicity. In MA families, harsh discipline predicted dysregulated stress response in youth when acceptance was low. In EA families, harsh discipline did not relate to youth stress response. Overall, results increase the understanding of normative and adaptive parenting behaviors in MA families. Findings inform the development of culturally-competent parenting-focused interventions that can better prevent dysregulated stress response and externalizing behavior problems in ethnically diverse youth.
ContributorsMahrer, Nicole Eva (Author) / Luecken, Linda (Thesis advisor) / Wolchik, Sharlene (Thesis advisor) / Tein, Jenn-Yun (Committee member) / Pina, Armando (Committee member) / Arizona State University (Publisher)
Created2015
Description
Researchers who conduct longitudinal studies are inherently interested in studying individual and population changes over time (e.g., mathematics achievement, subjective well-being). To answer such research questions, models of change (e.g., growth models) make the assumption of longitudinal measurement invariance. In many applied situations, key constructs are measured by a collection of ordered-categorical indicators (e.g., Likert scale items). To evaluate longitudinal measurement invariance with ordered-categorical indicators, a set of hierarchical models can be sequentially tested and compared. If the statistical tests of measurement invariance fail to be supported for one of the models, it is useful to have a method with which to gauge the practical significance of the differences in measurement model parameters over time. Drawing on studies of latent growth models and second-order latent growth models with continuous indicators (e.g., Kim & Willson, 2014a; 2014b; Leite, 2007; Wirth, 2008), this study examined the performance of a potential sensitivity analysis to gauge the practical significance of violations of longitudinal measurement invariance for ordered-categorical indicators using second-order latent growth models. The change in the estimate of the second-order growth parameters following the addition of an incorrect level of measurement invariance constraints at the first-order level was used as an effect size for measurement non-invariance. This study investigated how sensitive the proposed sensitivity analysis was to different locations of non-invariance (i.e., non-invariance in the factor loadings, the thresholds, and the unique factor variances) given a sufficient sample size. This study also examined whether the sensitivity of the proposed sensitivity analysis depended on a number of other factors including the magnitude of non-invariance, the number of non-invariant indicators, the number of non-invariant occasions, and the number of response categories in the indicators.
ContributorsLiu, Yu, Ph.D (Author) / West, Stephen G. (Thesis advisor) / Tein, Jenn-Yun (Thesis advisor) / Green, Samuel (Committee member) / Grimm, Kevin J. (Committee member) / Arizona State University (Publisher)
Created2016
Description
Although substantial research has examined individual, family, and peer factors that contribute to predicting adolescent alcohol use, limited attention has been devoted to the unique role of romantic partners and little consideration has been given to the potential importance of romantic relationship seriousness. Data from Waves I and II of the National Longitudinal Study of Adolescent Health (Add Health) were used to assess the relation between romantic relationship seriousness and binge drinking and drinking consequences one year later among 14-18 year-olds (n= 928 adolescents; 54.1% female). Main effects of relationship seriousness and moderating effects of adolescent age, partner age, adolescent age by partner age, parental alcoholism, and gender were examined separately for each drinking outcome using zero-inflated Poisson regression (ZIP) models. Relationship seriousness and study covariate interactions were also examined. ZIP models estimate (a) a logistic regression that distinguishes between individuals whose values can only be zero on the outcome (i.e., a structural zero class) and individuals with count values ranging from zero to any other positive integer (i.e., a non-structural zero class), and (b) a Poisson regression predicting count values among the non-structural zero class. Results showed trends towards significance for relations between relationship seriousness and binge drinking and drinking consequences among non-structural zero classes. As hypothesized, increased relationship seriousness predicted less frequent binge drinking and fewer drinking consequences. The relation between relationship seriousness and binge drinking was moderated by peer alcohol use; the negative relation between relationship seriousness and binge drinking frequency was significant among adolescents who reported 0-2, but not 3, close friends who drink. The relation between relationship seriousness and number of drinking consequences was moderated by gender, adolescent delinquency (covariate), peer alcohol use (covariate), and Wave I drinking consequences (control variable). Specifically, a significant relation between relationship seriousness and number of drinking consequences was revealed only for females and only for adolescents who reported high consequences at Wave I, and was significant among adolescents who reported 0-2 close friends who drink and low delinquency. Results indicate that relationship seriousness can protect adolescents in terms of drinking outcomes, which could have implications for prevention efforts.
ContributorsCarr, Colleen (Author) / Wolchik, Sharlene (Thesis advisor) / Chassin, Laurie (Thesis advisor) / Dishion, Thomas (Committee member) / Tein, Jenn-Yun (Committee member) / Arizona State University (Publisher)
Created2016
Description
Time-to-event analysis or equivalently, survival analysis deals with two variables simultaneously: when (time information) an event occurs and whether an event occurrence is observed or not during the observation period (censoring information). In behavioral and social sciences, the event of interest usually does not lead to a terminal state such as death. Other outcomes after the event can be collected and thus, the survival variable can be considered as a predictor as well as an outcome in a study. One example of a case where the survival variable serves as a predictor as well as an outcome is a survival-mediator model. In a single survival-mediator model an independent variable, X predicts a survival variable, M which in turn, predicts a continuous outcome, Y. The survival-mediator model consists of two regression equations: X predicting M (M-regression), and M and X simultaneously predicting Y (Y-regression). To estimate the regression coefficients of the survival-mediator model, Cox regression is used for the M-regression. Ordinary least squares regression is used for the Y-regression using complete case analysis assuming censored data in M are missing completely at random so that the Y-regression is unbiased. In this dissertation research, different measures for the indirect effect were proposed and a simulation study was conducted to compare performance of different indirect effect test methods. Bias-corrected bootstrapping produced high Type I error rates as well as low parameter coverage rates in some conditions. In contrast, the Sobel test produced low Type I error rates as well as high parameter coverage rates in some conditions. The bootstrap of the natural indirect effect produced low Type I error and low statistical power when the censoring proportion was non-zero. Percentile bootstrapping, distribution of the product and the joint-significance test showed best performance. Statistical analysis of the survival-mediator model is discussed. Two indirect effect measures, the ab-product and the natural indirect effect are compared and discussed. Limitations and future directions of the simulation study are discussed. Last, interpretation of the survival-mediator model for a made-up empirical data set is provided to clarify the meaning of the quantities in the survival-mediator model.
ContributorsKim, Han Joe (Author) / Mackinnon, David P. (Thesis advisor) / Tein, Jenn-Yun (Thesis advisor) / West, Stephen G. (Committee member) / Grimm, Kevin J. (Committee member) / Arizona State University (Publisher)
Created2017
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
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
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