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Optimal experimental designs for hyperparameter estimation in hierarchical linear modelsLiu, Qing, January 2006 (has links)
Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 98-101).
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Interracial Marriage in the U.S. in 2006Kincannon, Heather T. 2009 May 1900 (has links)
Rates of black-white intermarriage in the United States have increased over the last sixty years, yet they remain at levels below other types of interracial/interethnic unions. Prior research has centered largely on individual-level factors associated with the formation of such unions, culminating in three not entirely consistent micro-level theories: status-caste exchange, status homogamy, and educational/economic success. Most of this literature does not consider contextual-level characteristics, which I argue should have an independent effect on the incidence of these unions. My dissertation explores these issues with microlevel and multilevel models using data from the 2006 American Community Survey. I examine both micro and macro level predictors of the odds of white women marrying black men, and black women marrying white men in the metropolitan areas of the U.S. in 2006.
In my level one analyses, six logistic regression equations are estimated to test the efficacy of the abovementioned microlevel theories of interracial marriage for black and white women. Status-caste exchange theory is accorded no support from my investigation, and status homogamy theory receives inconsistent support for white women. The results clearly convey that educational/economic success theory is applicable for predicting intermarriage among white and black metropolitan women in the United States. Among white women, those with high occupational status and high annual income are more likely to be intermarried than those with low occupational status and lower income. Among black metropolitan women, those with high occupational status and high levels of education are more likely to be intermarried than those with low occupational status and low levels of education.
In my multilevel analyses, four hierarchical generalized linear models are estimated to evaluate the likelihood of intermarriage for white and black women living in metropolitan areas in the United States. My results show that context matters in predicting and understanding intermarriage for both groups of women. Both the individual-level characteristics of the women, as well as the contextual-level characteristics of their metropolitan areas, were shown in my equations to impact their likelihood of being intermarried. Future research would benefit from the inclusion of social context in any consideration of intermarriage, particularly through the use of multilevel modeling, which until now, has not been utilized by researchers in this area.
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Using collateral information in the estimation of sub-scores --- a fully Bayesian approachTao, Shuqin. Vispoel, Walter P. January 2009 (has links)
Thesis supervisor: Walter P. Vispoel. Includes bibliographic references (p. 140-143).
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Approaches to modeling self-rated health in longitudinal studies : best practices and recommendations for multilevel models / Best practices and recommendations for multilevel modelsSasson, Isaac 21 August 2012 (has links)
Self-rated health (SRH) is an outcome commonly studied by demographers, epidemiologists, and sociologists of health, typically measured using an ordinal scale. SRH is analyzed in cross-sectional and longitudinal studies for both descriptive and inferential purposes, and has been shown to have significant validity with regard to predicting mortality. Despite the wide spread use of this measure, only limited attention is explicitly given to its unique attributes in the case of longitudinal studies. While self-rated health is assumed to represent a latent continuous and dynamic process, SRH is actually measured discretely and asymmetrically. Thus, the validity of methods ignoring the scale of measurement remains questionable. We compare three approaches to modeling SRH with repeated measures over time: linear multilevel models (MLM or LGM), including corrections for non-normality; and marginal and conditional ordered-logit models for longitudinal data. The models are compared using simulated data and illustrated with results from the Health and Retirement Study. We find that marginal and conditional models result in very different interpretations, but that conditional linear and non-linear models result in similar substantive conclusions, albeit with some loss of power in the linear case. In conclusion, we suggest guidelines for modeling self-rated health and similar ordinal outcomes in longitudinal studies. / text
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Hierarchical spatio-temporal models for environmental processesArab, Ali, January 2007 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed Nov. 21, 2007). Vita. Includes bibliographical references.
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Generalized linear mixed models with censored covariates /Giovanini, John. January 1900 (has links)
Thesis (Ph. D.)--Oregon State University, 2009. / Printout. Includes bibliographical references. Also available on the World Wide Web.
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Asian embeddedness and political participation an examination of social integration, Asian heterogeneity, ethnic organization, and Asian voting behavior /Diaz, Maria-Elena D. January 2009 (has links)
Thesis (Ph. D.)--University of Notre Dame, 2009. / Thesis directed by Rory McVeigh and William Carbonaro for the Department of Sociology. "October 2009." Includes bibliographical references (leaves 200-210).
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Higher-order thinking in the high-stakes accountability era linking student engagement and test performance /Collins, Justin A., Valentine, Jerry. January 2009 (has links)
The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on March 25, 2010). Thesis advisor: Dr. Jerry W. Valentine. Vita. Includes bibliographical references.
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Extension of the hierarchical model of anxiety and depression to the personality domainKotov, Roman. January 2006 (has links)
Thesis (Ph.D.)--University of Iowa, 2006. / Supervisor: David Watson. Includes bibliographical references (leaves 102-115).
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Differentiation, marital satisfaction, and depressive symptoms an application of Bowen Theory /Glade, Aaron Christopher, January 2005 (has links)
Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xi, 118 p.; also includes graphics. Includes bibliographical references (p. 99-107). Available online via OhioLINK's ETD Center
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