Doctor of Philosophy (PhD)
First Advisor's Name
Mario De La Rosa
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This investigation contributed to the literature by advancing scientific inquiry and addressing the gap in the literature related to social and economic mobility among Hispanic female householders living in the United States. The dissertation achieved its proposed aims by conducting secondary data analysis of the Integrated Public Use Microdata Series – Current Population Survey, Annual Social and Economic Supplement dataset (Flood, Kind, Rodgers, Ruggles, & Warren, 2020). The investigator applied repeated cross-sectional design to make inferences at the aggregate population level and conceptually frame analysis of a nationally representative sample of Hispanic female householders' a decade after the Great Recession by analyzing ten years of data from 2009-2019.
All interpretations and inferences of results are based on an aggregated view of the target population. Findings were tested at a minimum of the .05 level of significance and 95% confidence intervals. Total sample for analysis includes (N= 58,135,354) participants, (N=33,323,878) Native-born, and Foreign-born (N=24,811,476). The framework for analysis includes descriptive analysis, univariate analysis of sociodemographic predictor variables, bivariate regression analysis, multivariate linear regression analysis, and moderation analysis to determine the impact of sociodemographic predictors (i.e., educational attainment, labor attachment, and geographic region of residence) and moderating variables (i.e., presence of children and presence of disability) on total pre-tax personal income (i.e., income attainment), the outcome variable.
Bivariate regression analysis of education and labor correlates on the total pre-tax income revealed significant (P
Abreu, Lillian A., "Income Attainment and Hispanic Female Householders: Examining Educational Attainment, Labor Attachment and Geographic Region" (2021). FIU Electronic Theses and Dissertations. 4611.
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