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Including a covariate can increase power to detect an effect between two variables. Although previous research has studied power in mediation models, the extent to which the inclusion of a mediator will increase the power to detect a relation between two variables has not been investigated. The first study identified

Including a covariate can increase power to detect an effect between two variables. Although previous research has studied power in mediation models, the extent to which the inclusion of a mediator will increase the power to detect a relation between two variables has not been investigated. The first study identified situations where empirical and analytical power of two tests of significance for a single mediator model was greater than power of a bivariate significance test. Results from the first study indicated that including a mediator increased statistical power in small samples with large effects and in large samples with small effects. Next, a study was conducted to assess when power was greater for a significance test for a two mediator model as compared with power of a bivariate significance test. Results indicated that including two mediators increased power in small samples when both specific mediated effects were large and in large samples when both specific mediated effects were small. Implications of the results and directions for future research are then discussed.
ContributorsO'Rourke, Holly Patricia (Author) / Mackinnon, David P (Thesis advisor) / Enders, Craig K. (Committee member) / Millsap, Roger (Committee member) / Arizona State University (Publisher)
Created2013
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Description
United States and Mexico population statistics show clear evidence of return migration. This study uses qualitative data collected in a municipality in the State of Mexico during the summer of 2010 from families comprised of Mexican nationals and United States-born children post-relocation to Mexico. Using Portes and Zhou's theoretical framework

United States and Mexico population statistics show clear evidence of return migration. This study uses qualitative data collected in a municipality in the State of Mexico during the summer of 2010 from families comprised of Mexican nationals and United States-born children post-relocation to Mexico. Using Portes and Zhou's theoretical framework on modes of incorporation, this study illustrates the government policy, societal reception and coethnic community challenges the first and second generation face in their cases of family return migration. This study finds that the municipal government is indifferent to foreign children and their incorporation in Mexico schools. Furthermore, extended family and community, may not always aid the household's adaptation to Mexico. Despite the lack of a coethnic community, parents eventually acclimate into manual and entrepreneurial positions in society and the children contend to find a place called home.
ContributorsMedina, Dulce (Author) / Menjivar, Cecilia (Thesis advisor) / Seline Szkupinski-Quiroga, Seline (Committee member) / Glick, Jennifer (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Mass media has played a central role in the construction of "illegal" immigration as a crisis, despite demographic trends suggesting otherwise, resulting in public concern and extreme policies. Additional coverage by local news has brought the issue closer to home, leading state legislatures to action. This project analyzes trends in

Mass media has played a central role in the construction of "illegal" immigration as a crisis, despite demographic trends suggesting otherwise, resulting in public concern and extreme policies. Additional coverage by local news has brought the issue closer to home, leading state legislatures to action. This project analyzes trends in a 10 year period in local news articles and state-level legislation about undocumented immigration in Arizona and Alabama. The representation of immigration as a threat has consequences for the lives of immigrants and what it means to be an American.
ContributorsGultz, Chrisanne Marie (Author) / Menjivar, Cecilia (Thesis director) / Doty, Roxanne (Committee member) / Diaz McConnell, Eileen (Committee member) / Barrett, The Honors College (Contributor) / School of Social Transformation (Contributor) / School of Politics and Global Studies (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2014-05
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Description
This dissertation focuses on the incorporation of twenty first century mixed-status families, living in Phoenix, Arizona and Central Mexico. Using a combination of research methods, chapters illustrate patterns of immigrant incorporation by focusing on well-being, community reception, and national identity. First, results of mixed-method data collected in Phoenix, Arizona from

This dissertation focuses on the incorporation of twenty first century mixed-status families, living in Phoenix, Arizona and Central Mexico. Using a combination of research methods, chapters illustrate patterns of immigrant incorporation by focusing on well-being, community reception, and national identity. First, results of mixed-method data collected in Phoenix, Arizona from 2009-2010 suggest that life satisfaction varies by integration scores, a holistic measure of how immigrants are integrating into their communities by accounting for individual, household, and contextual factors. Second, findings from qualitative data collected in Mexico during 2010, illustrate that communities receive parents and children differently. Third, a continued analysis of qualitative 2010 data from Mexico, exhibits that both parents and children identify more with the U.S. than with Mexico, regardless of where they were born. Together these chapters contribute to broad concepts of assimilation, well-being, community reception, and national identity.
ContributorsMedina, Dulce (Author) / Menjivar, Cecilia (Thesis advisor) / Glick, Jennifer (Thesis advisor) / Martin, Nathan (Committee member) / Arizona State University (Publisher)
Created2016
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Description
In investigating mediating processes, researchers usually use randomized experiments and linear regression or structural equation modeling to determine if the treatment affects the hypothesized mediator and if the mediator affects the targeted outcome. However, randomizing the treatment will not yield accurate causal path estimates unless certain assumptions are satisfied. Since

In investigating mediating processes, researchers usually use randomized experiments and linear regression or structural equation modeling to determine if the treatment affects the hypothesized mediator and if the mediator affects the targeted outcome. However, randomizing the treatment will not yield accurate causal path estimates unless certain assumptions are satisfied. Since randomization of the mediator may not be plausible for most studies (i.e., the mediator status is not randomly assigned, but self-selected by participants), both the direct and indirect effects may be biased by confounding variables. The purpose of this dissertation is (1) to investigate the extent to which traditional mediation methods are affected by confounding variables and (2) to assess the statistical performance of several modern methods to address confounding variable effects in mediation analysis. This dissertation first reviewed the theoretical foundations of causal inference in statistical mediation analysis, modern statistical analysis for causal inference, and then described different methods to estimate causal direct and indirect effects in the presence of two post-treatment confounders. A large simulation study was designed to evaluate the extent to which ordinary regression and modern causal inference methods are able to obtain correct estimates of the direct and indirect effects when confounding variables that are present in the population are not included in the analysis. Five methods were compared in terms of bias, relative bias, mean square error, statistical power, Type I error rates, and confidence interval coverage to test how robust the methods are to the violation of the no unmeasured confounders assumption and confounder effect sizes. The methods explored were linear regression with adjustment, inverse propensity weighting, inverse propensity weighting with truncated weights, sequential g-estimation, and a doubly robust sequential g-estimation. Results showed that in estimating the direct and indirect effects, in general, sequential g-estimation performed the best in terms of bias, Type I error rates, power, and coverage across different confounder effect, direct effect, and sample sizes when all confounders were included in the estimation. When one of the two confounders were omitted from the estimation process, in general, none of the methods had acceptable relative bias in the simulation study. Omitting one of the confounders from estimation corresponded to the common case in mediation studies where no measure of a confounder is available but a confounder may affect the analysis. Failing to measure potential post-treatment confounder variables in a mediation model leads to biased estimates regardless of the analysis method used and emphasizes the importance of sensitivity analysis for causal mediation analysis.
ContributorsKisbu Sakarya, Yasemin (Author) / Mackinnon, David Peter (Thesis advisor) / Aiken, Leona (Committee member) / West, Stephen (Committee member) / Millsap, Roger (Committee member) / Arizona State University (Publisher)
Created2013
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Description
The vigorous efforts of advocates to help victims of domestic violence have resulted in the criminalization of domestic violence in the United States and in various countries around the world. However, research studies indicate mixed success in the protection of victims through the use of the legal system. This study

The vigorous efforts of advocates to help victims of domestic violence have resulted in the criminalization of domestic violence in the United States and in various countries around the world. However, research studies indicate mixed success in the protection of victims through the use of the legal system. This study examines the experiences of 16 victims/survivors and their perspectives on the criminal justice system's (CJS) response to domestic violence through in-depth interviews throughout the state of Arizona. This comparative study analyzes the experiences of U.S. born non-Latinas, U.S. (mainland and island) born Latinas and foreign born (documented and undocumented) Latinas who are victims/survivors of domestic violence. The empirical cases reveal that at the root of the contradictory success of the criminal justice system are a legal culture of rationalization and a lack of recognition of the intersection of systems of power and oppression such as gender, class, race/ethnicity, and of essence to this study, legal status.
ContributorsSalcido, Maria Olivia (Author) / Menjivar, Cecilia (Thesis advisor) / Cruz-Torres, Maria L. (Committee member) / Varsanyi, Monica (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The purpose of this research was to understand the migration process as experienced by unaccompanied immigrant minors (UIMs). That is, to form a better understanding of why they seek migration, what motivates their migration, what happens to them on their migration journey, and how they adapt to their new

The purpose of this research was to understand the migration process as experienced by unaccompanied immigrant minors (UIMs). That is, to form a better understanding of why they seek migration, what motivates their migration, what happens to them on their migration journey, and how they adapt to their new communities in the United States. Using qualitative research methods, 60 semi-structured in-depth interviews were collected, along with 12 ethnographic interviews, and participant observations. The immigrants’ narratives were rich with data, and capture the plight that UIMs undertake as they leave their home countries. This study analyzes the dynamic of age in all facets of the migration process, by taking into account that children are participants of the migration process just as much as adults.

The dissertation generated several findings; the first was to provide a profile of an Unaccompanied Minor, and for the sake of the study, only participants from Mexico, El Salvador, Honduras and Guatemala were interviewed. From those interviewed, we learned that UIMs are a heterogeneous group. They come from diverse backgrounds in terms of household structures; (nuclear family structures, single-parent structures, extended-family structures, and migrant-family structures). Also, education levels varied; (some finished elementary or even secondary school, but for those living in rural areas it was harder to attend school due to the distance and availability of educational facilities). Many also worked in the labor force from an early age. One salient theme that UIMs talked about in relation to their home life was how the increase in violence in many Latin American countries was threatening their safety, especially for UIMs from El Salvador and Honduras. The next major finding was the ability to see the multiple stages UIMs experience, including: initiation/decisions to migrate, journey, arrival/adaptation and what takes place in each of these stages.
ContributorsChavez, Lilian (Author) / Menjivar, Cecilia (Thesis advisor) / Lopez, Vera (Thesis advisor) / Santos, Carlos (Committee member) / Arizona State University (Publisher)
Created2016