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The apolipoprotein E (APOE) e4 genotype is the most prevalent known genetic risk factor for Alzheimer's disease (AD). In this paper, we examined the longitudinal effect of APOE e4 on hippocampal morphometry in Alzheimer's Disease Neuroimaging Initiative (ADNI). Generally, atrophy of hippocampus has more chance occurs in AD patients who carrying the APOE e4 allele than those who are APOE e4 noncarriers. Also, brain structure and function depend on APOE genotype not just for Alzheimer's disease patients but also in health elderly individuals, so APOE genotyping is considered critical in clinical trials of Alzheimer's disease. We used a large sample of elderly participants, with the help of a new automated surface registration system based on surface conformal parameterization with holomorphic 1-forms and surface fluid registration. In this system, we automatically segmented and constructed hippocampal surfaces from MR images at many different time points, such as 6 months, 1- and 2-year follow up. Between the two different hippocampal surfaces, we did the high-order correspondences, using a novel inverse consistent surface fluid registration method. At each time point, using Hotelling's T^2 test, we found significant morphological deformation in APOE e4 carriers relative to noncarriers in the entire cohort as well as in the non-demented (pooled MCI and control) subjects, affecting the left hippocampus more than the right, and this effect was more pronounced in e4 homozygotes than heterozygotes.
ContributorsLi, Bolun (Author) / Wang, Yalin (Thesis advisor) / Maciejewski, Ross (Committee member) / Liang, Jianming (Committee member) / Arizona State University (Publisher)
Created2015
Description
Parenting approaches that are firm yet warm (i.e., authoritative parenting) have been found to be robustly beneficial for mainstream White Americans youths, but do not demonstrate similarly consistent effects among Chinese Americans (CA) adolescents. Evidence suggests that CA adolescents interpret and experience parenting differently than their mainstream counterparts given differences in parenting values and child-rearing norms between traditional Chinese and mainstream American cultures. The current study tests the theory that prospective effects of parenting on psychological and academic functioning depends on adolescents' cultural frameworks for interpreting and understanding parenting. CA adolescents with values and expectations of parenting that are more consistent with mainstream American parenting norms were predicted to experience parenting similar to their White American counterparts (i.e., benefiting from a combination of parental strictness and warmth). In contrast, CA adolescents with parenting values and expectations more consistent with traditional Chinese parenting norms were predicted to experience parenting and its effects on academic and psychological outcomes differently than patterns documented in the mainstream literature. This study was conducted with a sample of Chinese American 9th graders (N = 500) from the Multicultural Family Adolescent Study. Latent Class Analysis (LCA), a person-centered approach to modeling CA adolescents' cultural frameworks for interpreting parenting, was employed using a combination of demographic variables (e.g., nativity, language use at home, mother's length of stay in the U.S.) and measures of parenting values and expectations (e.g., parental respect, ideal strictness & laxness). The study then examined whether prospective effects of parenting behaviors (strict control, warmth, and their interaction effect) on adolescent adjustment (internalizing and externalizing symptoms, substance use, and GPA) were moderated by latent class membership. The optimal LCA solution identified five distinct cultural frameworks for understanding parenting. Findings generally supported the idea that effects of parenting on CA adolescent adjustment depend on adolescents' cultural framework for parenting. The classic authoritative parenting effect (high strictness and warmth leads to positive outcomes) was found for the two most acculturated groups of adolescents. However, only one of these groups overtly endorsed mainstream American parenting values.
ContributorsLiu, Freda Fangfang (Author) / Gonzales, Nancy A. (Thesis advisor) / Tein, Jenn-Yun (Committee member) / Yoo, Hyung Chol (Committee member) / Barrera, Manuel (Committee member) / Arizona State University (Publisher)
Created2011
Description
Pedagogical content knowledge (PCK) has been described as the knowledge teachers' use in the process of designing and implementing lessons to a particular group of students. This includes the most effective representations that make the content understandable to students, together with the preconceptions and misconceptions that students hold. For chemistry, students have been found to have difficulty with the discipline due to its reliance upon three levels of representation called the triplet: the macro, the submicro, and the symbolic. This study examines eight beginning chemistry teachers' depiction of the chemistry content through the triplet relationship and modifications as a result of considering students' understanding across the teacher's first three years in the classroom. The data collected included classroom observations, interviews, and artifacts for the purpose of triangulation. The analysis of the data revealed that beginning chemistry teachers utilized the abstract components, submicro and symbolic, primarily in the first year. However, the teachers began to engage more macro representations over time building a more developed instructional repertoire. Additionally, teachers' developed an awareness of and responded to their students' understanding of learning atomic structure during the second and third year teaching. The results of this study call for preservice and induction programs to help novice chemistry teachers build a beginning repertoire that focuses on the triplet relationship. In so doing, the teachers enter the classroom with a repertoire that allows them to address the needs of their students. Finally, the study suggests that the triplet relationship framework should be revisited to include an additional component that frames learning to account for socioscientific issues and historical contributions.
ContributorsAdams, Krista (Author) / Luft, Julie A. (Thesis advisor) / Baker, Dale (Committee member) / Williams, Stanley (Committee member) / Arizona State University (Publisher)
Created2012
Description
Data from the NICHD Study of Early Child Care and Youth Development (SECCYD) was used to study the role of child individual, parental, and environmental predictors of anxiety across childhood and adolescence. Longitudinal growth modeling was used to examine the influence of behavioral inhibition, parental control, parental anxiety and stressful life events on the developmental progression of anxiety from 4 to 15 years of age. Based on these data, it appears that there are significant developmental differences between the role of child individual, parental and environmental risk factors. These results highlight the importance of considering developmental factors when assessing and targeting risk for anxiety.
ContributorsZerr, Argero (Author) / Pina, Armando A (Thesis advisor) / Bradley, Robert H (Committee member) / Doane, Leah D (Committee member) / Varela, Roberto E (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this dissertation, I examine the treatment and sentencing of American Indian defendants. This work contributes to research on cumulative disadvantage and the role race and social context play to influence federal sentencing outcomes. Disparities in federal sentencing for racial and ethnic minorities are an important concern to scholars and policy makers. Literature suggests that blacks and Latinos are sentenced more harshly than similarly situated white offenders. These findings are concerning because they suggest that minorities are treated unfairly by the criminal justice system, questions the legitimacy of how offenders are processed and treated, and defendants of color who are meted out tougher punishments face substantial social and economic difficulties thereafter. Although the black-white and Latino-white disparities have been identified and highlighted, less is known about whether disparities extend to other minority groups, and consequently little is known about the treatment of these neglected groups.
I investigate whether American Indian defendants experience cumulative disadvantages at multiple decision points, disadvantage over time, and the effect of social context on drawing on American Indian disadvantage, the focal concerns and minority threat perspectives. The focal concerns perspective is used to develop hypotheses about how American Indian defendants will receive harsher punishments at multiple decision points. I also use this perspective to predict that American Indian disadvantages will increase over time. Lastly, I examine social context and its effect on punishment decisions for American Indians using the minority threat perspective. I hypothesize that social context impacts how American Indian defendants are sentenced at the federal level.
Data come from the Federal Justice Statistics Program Data Series, the US Census, and the Uniform Crime Report, with a focus on data gathered from the Administrative Office of the United States Courts and the United States Sentencing Commission. A range of modeling strategies are used to test the hypotheses including multinomial logistic regression, ordinary least squares regression, and multilevel modeling.
The results suggest that cumulative disadvantages against American Indian defendants is pronounced, American Indian disparity over time is significant for certain outcomes, and social context plays a limited role in American Indian sentencing disadvantage.
I investigate whether American Indian defendants experience cumulative disadvantages at multiple decision points, disadvantage over time, and the effect of social context on drawing on American Indian disadvantage, the focal concerns and minority threat perspectives. The focal concerns perspective is used to develop hypotheses about how American Indian defendants will receive harsher punishments at multiple decision points. I also use this perspective to predict that American Indian disadvantages will increase over time. Lastly, I examine social context and its effect on punishment decisions for American Indians using the minority threat perspective. I hypothesize that social context impacts how American Indian defendants are sentenced at the federal level.
Data come from the Federal Justice Statistics Program Data Series, the US Census, and the Uniform Crime Report, with a focus on data gathered from the Administrative Office of the United States Courts and the United States Sentencing Commission. A range of modeling strategies are used to test the hypotheses including multinomial logistic regression, ordinary least squares regression, and multilevel modeling.
The results suggest that cumulative disadvantages against American Indian defendants is pronounced, American Indian disparity over time is significant for certain outcomes, and social context plays a limited role in American Indian sentencing disadvantage.
ContributorsRedner-Vera, Erica N. (Author) / Wang, Xia (Thesis advisor) / Spohn, Cassia (Committee member) / Wallace, Danielle (Committee member) / Arizona State University (Publisher)
Created2019
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
Parkinson’s disease (PD) is a progressive neurodegenerative disorder, diagnosed late in
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
ContributorsHenderson, Adrienne Rose (Author) / Huentelman, Matthew J (Thesis advisor) / Newbern, Jason (Thesis advisor) / Dunckley, Travis L (Committee member) / Jensen, Kendall (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2019
Description
Understanding work-life balance is crucial for improving the work environment, managing work and personal demands, and maintaining well-being. However, scientific literature regarding work-life balance has not adequately investigated its long-term relationships with subjective well-being and social support factors. Up to this point, empirical research uses cross-sectional or short-term longitudinal data and is focused on broad outcomes related to work-life balance. The current study adds to the literature by breaking down work-life balance into work interference, how work experiences negatively contribute to personal life, and work enhancement, how work experiences positively contribute to personal life. Work-life balance factors will be explored with relationships between three components of subjective well-being: positive affect, negative affect, and life satisfaction. Additional examined relationships are between work-life balance factors and quality of social support through positive and negative relationships with spouse, family, and friends. Finally, the relationships with work-life balance are examined with potential covariates. The research questions will be tested with multilevel models using data collected from 2006 \u2014 2014 from the Health and Retirement Study, a longitudinal panel survey of participants in midlife and old age. In short, work enhancement is predictive of the level and change in life satisfaction and positive factors; work interference is predictive of the level and change in negative factors. The discussion focuses on understanding the directionality of the relationships and how future research can build upon the understanding of subjective well-being and social support.
ContributorsBanovich, Presley Elizabeth (Author) / Infurna, Frank (Thesis director) / Glenberg, Arthur (Committee member) / Patock-Peckham, Julie (Committee member) / Department of Psychology (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Time metric is an important consideration for all longitudinal models because it can influence the interpretation of estimates, parameter estimate accuracy, and model convergence in longitudinal models with latent variables. Currently, the literature on latent difference score (LDS) models does not discuss the importance of time metric. Furthermore, there is little research using simulations to investigate LDS models. This study examined the influence of time metric on model estimation, interpretation, parameter estimate accuracy, and convergence in LDS models using empirical simulations. Results indicated that for a time structure with a true time metric where participants had different starting points and unequally spaced intervals, LDS models fit with a restructured and less informative time metric resulted in biased parameter estimates. However, models examined using the true time metric were less likely to converge than models using the restructured time metric, likely due to missing data. Where participants had different starting points but equally spaced intervals, LDS models fit with a restructured time metric resulted in biased estimates of intercept means, but all other parameter estimates were unbiased, and models examined using the true time metric had less convergence than the restructured time metric as well due to missing data. The findings of this study support prior research on time metric in longitudinal models, and further research should examine these findings under alternative conditions. The importance of these findings for substantive researchers is discussed.
ContributorsO'Rourke, Holly P (Author) / Grimm, Kevin J. (Thesis advisor) / Mackinnon, David P (Thesis advisor) / Chassin, Laurie (Committee member) / Aiken, Leona S. (Committee member) / Arizona State University (Publisher)
Created2016
Description
Customers today, are active participants in service experiences. They are more informed about product choices, their preferences and tend to actively influence customer and firm related outcomes. However, differences across customers become a significant challenge for firms trying to ensure that all customers have a `delightful' consumption experience. This dissertation studies customers as active participants in service experiences and considers three dimensions of customer participation -- in-role performance; extra-role performance-citizenship and elective behavior; and information sharing -- as its focal dependent variables. This study is grounded in services marketing, customer co-production and motivation literatures. The theoretical model proposes that customer behaviors are goal-directed and different consumers will have different reactions to the service quality because they have different assessments of progress towards their goals and (consequently) different levels of participation during the service experience. Customer role clarity and participation behavior will also influence the service experience and firm outcomes. A multi-step process was adopted to test the conceptual model, beginning with qualitative and quantitative pretests; followed by 2 studies (one cross-sectional and other longitudinal in nature). Results prove that customer participation behaviors are influenced by service quality directly and through the mediated path of progress towards goals. Assessment of progress towards goals directly influences customer participation behaviors cross-sectionally. Service quality from one service interaction influences customer in-role performance and information sharing in subsequent service interactions. Information sharing influences service quality in subsequent service interactions. Role-clarity influences in-role and extra-role performance cross-sectionally and influences these behaviors longitudinally only in the early stages of the customer-firm relationship. Due to multi-collinearity, the moderating effect of customer goals on assessment of progress towards goals could not be tested. The study findings contribute to the understanding of customer participation behaviors in service interactions for both academics and managers. It contributes to the literature by examining consumption during the service interaction; considering customers as active participants; explaining differences in customer participation; integrating a forward-looking component (assessment of progress towards goals) and a retrospective component (perceptions of service quality) to explain customer participation behaviors over time; defining and building measures for customer participation behavior.
ContributorsSaxena, Shruti (Author) / Mokwa, Michael (Thesis advisor) / Bitner, Mary Jo (Committee member) / Bolton, Ruth N (Committee member) / Olsen, Grant D (Committee member) / Arizona State University (Publisher)
Created2010