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- All Subjects: psychology
- Genre: Doctoral Dissertation
- Creators: Grimm, Kevin
- Creators: West, Stephen G.
- Member of: Theses and Dissertations
- Status: Published
Description
Each year, millions of aging women will experience menopause, a transition from reproductive capability to reproductive senescence. In women, this transition is characterized by depleted ovarian follicles, declines in levels of sex hormones, and a dysregulation of gonadotrophin feedback loops. Consequently, menopause is accompanied by hot flashes, urogenital atrophy, cognitive decline, and other symptoms that reduce quality of life. To ameliorate these negative consequences, estrogen-containing hormone therapy is prescribed. Findings from clinical and pre-clinical research studies suggest that menopausal hormone therapies can benefit memory and associated neural substrates. However, findings are variable, with some studies reporting null or even detrimental cognitive and neurobiological effects of these therapies. Thus, at present, treatment options for optimal cognitive and brain health outcomes in menopausal women are limited. As such, elucidating factors that influence the cognitive and neurobiological effects of menopausal hormone therapy represents an important need relevant to every aging woman. To this end, work in this dissertation has supported the hypothesis that multiple factors, including post-treatment circulating estrogen levels, experimental handling, type of estrogen treatment, and estrogen receptor activity, can impact the realization of cognitive benefits with Premarin hormone therapy. We found that the dose-dependent working memory benefits of subcutaneous Premarin administration were potentially regulated by the ratios of circulating estrogens present following treatment (Chapter 2). When we administered Premarin orally, it impaired memory (Chapter 3). Follow-up studies revealed that this impairment was likely due to the handling associated with treatment administration and the task difficulty of the memory measurement used (Chapters 3 and 4). Further, we demonstrated that the unique cognitive impacts of estrogens that become increased in circulation following Premarin treatments, such as estrone (Chapter 5), and their interactions with the estrogen receptors (Chapter 6), may influence the realization of hormone therapy-induced cognitive benefits. Future directions include assessing the mnemonic effects of: 1) individual biologically relevant estrogens and 2) clinically-used bioidentical hormone therapy combinations of estrogens. Taken together, information gathered from these studies can inform the development of novel hormone therapies in which these parameters are optimized.
ContributorsEngler-Chiurazzi, Elizabeth (Author) / Bimonte-Nelson, Heather A. (Thesis advisor) / Sanabria, Federico (Committee member) / Olive, Michael F (Committee member) / Hoffman, Steven (Committee member) / Arizona State University (Publisher)
Created2013
Description
The bilingual experience is an often-studied multivariate phenomenon with a heterogeneous population that is often described using subtypes of bilingualism. “Bilingualism” as well as its subtypes lack consistent definitions and often share overlapping features, requiring researchers to measure a number of aspects of the bilingual experience. Different variables have been operationalized to quantify the language proficiencies, use, and histories of bilinguals, but the combination of these variables and their contributions to these subtypes often vary between studies on bilingualism. Research supports that these variables have an influence not only on bilingual classification, but also on non-linguistic outcomes including perceptions of self-worth and bicultural identification. To date, there is a lack of research comparing the quantification of these bilingual subtypes and these non-linguistic outcomes, despite research supporting the need to address both. Person-centered approaches such as latent profile analysis (LPA) and fuzzy set qualitative comparative analysis (fsQCA) have been applied to describe other multivariate constructs with heterogeneous populations, but these applications have yet to be used with bilingualism. The present study integrates models of bilingualism with these analytic methods in order to quantitatively identify latent profiles of bilinguals, describe the sets of conditions that define these subtypes, and to characterize the subjective experiences that differentiate these subtypes. The first study uses an existing data set of participants who completed the Language and Social Background Questionnaire (LSBQ) and performs LPA and fsQCA, identifying latent profiles and the sets of conditions that these subtypes. The following studies use a second set of bilinguals who also completed the LSBQ as well as a supplementary questionnaire, characterizing their identification with biculturalism and their feelings of self-worth. The analyses are repeated with these data to describe the profiles within these data and the subjective experiences in common. Finally, all analyses are repeated with the combined datasets to develop a final model of bilingual subtypes, describing the differences in language use and history within each subtype. Results demonstrate that latent models can be used to consistently characterize bilingual subtypes, while also providing additional information about the relationship between individual bilingual history and attitudes towards cultural identification.
ContributorsMcGee, Samuel (Author) / Azuma, Tamiko (Thesis advisor) / Gray, Shelley (Committee member) / Roscoe, Rod (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2022
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
It is well known that neighborhood contexts form an integral part in shaping development across the lifespan. At the same time, it is recognized that there is variability in the manner with which the neighborhood context is associated with pertinent outcomes, such as mental health and psychological well-being. In this regard, empirical research has differentiated between subjective and objective neighborhood indicators. Midlife is a critical life stage due to middle-aged adults being “sandwiched” between generations and being firmly entrenched in the workforce; in this regard, the neighborhood context could play a role in shaping mental health and psychological well-being in midlife. Of importance is determining which factors account for development in midlife, and whether individuals can find protective factors in order to preserve their health and psychological wellbeing into older adulthood. The purpose of this dissertation was to examine whether and how neighborhood context is associated with mental health and psychological well-being in midlife. The first study examined whether the subjective and objective neighborhood context moderates the impact of monthly adversity on mental health and psychological well-being in midlife. The second study aimed to examine whether and which potentially relevant latent factors exist among subjective and objective neighborhood indicators in a sample of middle-aged adults from the Phoenix Metropolitan area.
Taken together, the results of these studies provide evidence that neighborhood context is indeed relevant resource for middle-aged adults. Specifically, in Paper 1, found that individuals who live in neighborhoods with less disorder show fewer steep declines in mental health and well-being in months when an adversity was reported. Paper 2 found that that there are distinct latent constructs that were primarily comprised of factors related to resource and prosperity and financial strain for the objective indicators. For subjective perceptions factors comprised neighborhood insights. These findings contribute to the literature on potential ways in which neighborhood context may serve as a resource and serve as the groundwork for future studies that test mechanisms linking the neighborhood context to mental health and well-being in midlife and inform future intervention studies.
ContributorsStaben, Omar Enrique (Author) / Infurna, Frank J (Thesis advisor) / Sheehan, Connor (Committee member) / White, Rebecca (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2022
Description
Anxiety disorder diagnosis is a risk factor for alcohol use disorders (AUDs), but mechanisms of risk are not well understood. Studies show that anxious individuals receive greater negative reinforcement from alcohol when consumed prior to a stressor, but few studies have examined whether anxious individuals receive greater negative (or positive) reinforcement from alcohol in a general drinking context (i.e., no imminent stressor). Previous studies have also failed to examine possible moderating effects of specific drinking contexts (e.g., drinking in a group or alone). Finally, no studies have investigated mediating variables that might explain the relationship between anxiety and reinforcement from alcohol, such as physiological response to alcohol (e.g., cortisol response). Data for this study were drawn from a large alcohol administration study (N = 447) wherein participants were randomized to receive alcohol (target peak BAC: .08 g%) or placebo in one of four contexts: group simulated bar, solitary simulated bar, group sterile laboratory, solitary sterile laboratory. It was hypothesized that anxiety would be associated with positive subjective response (SR) under alcohol (above and beyond placebo), indicating stronger reinforcement from alcohol. It was also hypothesized that social and physical drinking context would moderate this relationship. Finally, it was hypothesized that anxiety would be associated with a blunted cortisol response to alcohol (compared to placebo) and this blunted cortisol response would be associated with stronger positive SR and weaker negative SR. Results showed that anxiety was not associated with positive SR in the full sample, but drinking context did moderate the anxiety/SR relationship in most cases (e.g., anxiety was significantly associated with positive SR (stimulation) under placebo in solitary contexts only). There was no evidence that cortisol response to alcohol mediated the relationship between anxiety and SR. This study provides evidence that anxious drinkers expect stronger positive reinforcement from alcohol in solitary contexts, which has implications for intervention (e.g., modification of existing interventions like expectancy challenge). Null findings regarding cortisol response suggest alcohol’s effect on cortisol response to stress (rather than cortisol response to alcohol consumption) may be more relevant for SR and drinking behavior among anxious individuals.
ContributorsMenary, Kyle Robert (Author) / Corbin, William (Thesis advisor) / Chassin, Laurie (Committee member) / Meier, Madeline (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2018
Description
Mediation analysis is used to investigate how an independent variable, X, is related to an outcome variable, Y, through a mediator variable, M (MacKinnon, 2008). If X represents a randomized intervention it is difficult to make a cause and effect inference regarding indirect effects without making no unmeasured confounding assumptions using the potential outcomes framework (Holland, 1988; MacKinnon, 2008; Robins & Greenland, 1992; VanderWeele, 2015), using longitudinal data to determine the temporal order of M and Y (MacKinnon, 2008), or both. The goals of this dissertation were to (1) define all indirect and direct effects in a three-wave longitudinal mediation model using the causal mediation formula (Pearl, 2012), (2) analytically compare traditional estimators (ANCOVA, difference score, and residualized change score) to the potential outcomes-defined indirect effects, and (3) use a Monte Carlo simulation to compare the performance of regression and potential outcomes-based methods for estimating longitudinal indirect effects and apply the methods to an empirical dataset. The results of the causal mediation formula revealed the potential outcomes definitions of indirect effects are equivalent to the product of coefficient estimators in a three-wave longitudinal mediation model with linear and additive relations. It was demonstrated with analytical comparisons that the ANCOVA, difference score, and residualized change score models’ estimates of two time-specific indirect effects differ as a function of the respective mediator-outcome relations at each time point. The traditional model that performed the best in terms of the evaluation criteria in the Monte Carlo study was the ANCOVA model and the potential outcomes model that performed the best in terms of the evaluation criteria was sequential G-estimation. Implications and future directions are discussed.
ContributorsValente, Matthew J (Author) / Mackinnon, David P (Thesis advisor) / West, Stephen G. (Committee member) / Grimm, Keving (Committee member) / Chassin, Laurie (Committee member) / Arizona State University (Publisher)
Created2018
Description
The construct of adult emotional intelligence has gained increasing attention over the last 15 years given its significant socioemotional implications for the ability to label, understand, and regulate emotions. There is a gap, however, in understanding how emotional intelligence develops in children. Parenting is one of the most salient predictors of children’s behavior and the current study investigated its prospective link to children’s emotional intelligence. More preceisely, this study took a differentiated approach to parenting by examining the distinct contributions of maternal sensitivity and emotion socialization to children’s emotional intelligence. In addition, executive function, considered a “conductor” of higher-order skills and a neurocognitive correlate of emotional intelligence, was examined as a possible mechanism by which parenting influences emotional intelligence. Data were collected from 269 Mexican-American mother-child dyads during 2-year (parenting), 4.5-year (executive function), and 6-year (emotional intelligence) laboratory visits. Both parenting variables were assessed by objective observer ratings. Exeutive function and emotional intelligence were examined as latent constructs comprised of relevant parent-reported and objective measures. Due to a lack of adequate fit, the emotional intelligence variable was separated into two distinct latent constructs, emotion knowledge/understanding and emotion dysregulation. Results indicated that neither dimension of parenting was predictive of dimensions of emotional intelligence. On the other hand, children’s executive function was positively related to emotion knowledge. Finally, executive function did not emerge as a mediator of the relation between parenting and dimensions of emotional intelligence. Taken together, these findings highlight the need for a nuanced developmental and bioecological framework in the study of childen’s executive function and emotional intelligence.
ContributorsRoss, Emily (Author) / Crnic, Keith (Thesis advisor) / Luecken, Linda (Committee member) / Bradley, Robert (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2020
Description
Clinically meaningful emotional and behavioral problems are thought to be present beginning in infancy, and may be reliably assessed in children as young as 12 months old. However, few studies have investigated early correlates of emotional and behavioral problems assessed in infancy. The current study investigates the direct and interactive contributions of early infant and caregiver characteristics thought to play an important role in the ontogeny of behavior problems. Specifically, the study examines: (1) the links between temperamental reactivity across the first year of life and behavior problems at 18 months, (2) whether children high in temperamental reactivity are differentially susceptible to variations in maternal sensitivity, (3) the extent to which child temperamental risk or susceptibility may further be explained by mothers’ experiences of stressful life events (SLEs) during and before pregnancy. Data were collected from 322 Mexican American families during prenatal, 6-, 12-, 18-, and 24-week home interviews, as well as during 12- and 18-month lab interviews. Mother reports of SLEs were obtained between 23-40 weeks gestation; temperamental negativity and surgency at 6 weeks and 12 months; and internalizing and externalizing behaviors at 18 months. Maternal sensitivity during structured mother-infant interaction tasks at the 6-, 12-, 18-, and 24-week visits was assessed by objective observer ratings. Study findings indicated that maternal SLEs before birth were associated with more infant negativity across the first year of life, and that negativity in turn was associated with more internalizing problems at 18 months. Ecological stressors thought to be associated with sociodemographic risk factors such as low-income and ethnic minority status may begin to exert cascades of influence on children’s developmental outcomes even before birth.
ContributorsLin, Betty (Author) / Crnic, Keith A (Thesis advisor) / Lemery-Chalfant, Kathryn S (Committee member) / Luecken, Linda J. (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
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
The comparison of between- versus within-person relations addresses a central issue in psychological research regarding whether group-level relations among variables generalize to individual group members. Between- and within-person effects may differ in magnitude as well as direction, and contextual multilevel models can accommodate this difference. Contextual multilevel models have been explicated mostly for cross-sectional data, but they can also be applied to longitudinal data where level-1 effects represent within-person relations and level-2 effects represent between-person relations. With longitudinal data, estimating the contextual effect allows direct evaluation of whether between-person and within-person effects differ. Furthermore, these models, unlike single-level models, permit individual differences by allowing within-person slopes to vary across individuals. This study examined the statistical performance of the contextual model with a random slope for longitudinal within-person fluctuation data.
A Monte Carlo simulation was used to generate data based on the contextual multilevel model, where sample size, effect size, and intraclass correlation (ICC) of the predictor variable were varied. The effects of simulation factors on parameter bias, parameter variability, and standard error accuracy were assessed. Parameter estimates were in general unbiased. Power to detect the slope variance and contextual effect was over 80% for most conditions, except some of the smaller sample size conditions. Type I error rates for the contextual effect were also high for some of the smaller sample size conditions. Conclusions and future directions are discussed.
A Monte Carlo simulation was used to generate data based on the contextual multilevel model, where sample size, effect size, and intraclass correlation (ICC) of the predictor variable were varied. The effects of simulation factors on parameter bias, parameter variability, and standard error accuracy were assessed. Parameter estimates were in general unbiased. Power to detect the slope variance and contextual effect was over 80% for most conditions, except some of the smaller sample size conditions. Type I error rates for the contextual effect were also high for some of the smaller sample size conditions. Conclusions and future directions are discussed.
ContributorsWurpts, Ingrid Carlson (Author) / Mackinnon, David P (Thesis advisor) / West, Stephen G. (Committee member) / Grimm, Kevin J. (Committee member) / Suk, Hye Won (Committee member) / Arizona State University (Publisher)
Created2016