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donizk committed Mar 24, 2023
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# Abstract

Over the last fifty years, trends in educational attainment have reflected simultaneous movements towards closing and widening disparities between different identity groups. Studying educational attainment, specifically revolved around studying disparities in education, is vital because of the implications for future work opportunities, financial security, and resource access. This study identifies and investigates these demographic factors as determinants of educational attainment, namely, sex, race, and Hispanic ethnicity. Leveraging data from *IPUMS*, and using *R*, *R Shiny*, and *SQLite*, trends in educational attainment across different identity groups will be studied through the use of pie charts to display results and draw comparisons that will be displayed on a [web-based dashboard](https://donizk.shinyapps.io/EduAttain/). The statistical relationship between these factors and educational attainment will be studied using a binary logistic regression, to determine what populations had a higher odds of having a high school diploma or greater. The findings of this project affirm some of the findings presented in the literature, while providing new insight into certain racial and Hispanic ethnic subgroups rates of educational attainment. In general, the highest attaining populations in educational attainment were the White, Non Hispanic, and Female populations, compared to all other respective identity groups. Within the Hispanic ethnic group, the Cuban population maintained the highest level of educational attainment, relative to all other Hispanic ethnic subgroups.
Over the last fifty years, trends in educational attainment have reflected simultaneous movements towards closing and widening disparities between different identity groups. Studying educational attainment, specifically revolved around studying disparities in education, is vital because of the implications for future work opportunities, financial security, and resource access. **EduAttain** identifies and investigates these demographic factors as determinants of educational attainment, namely, sex, race, and Hispanic ethnicity. Leveraging data from *IPUMS*, and using *R*, *R Shiny*, and *SQLite*, trends in educational attainment across different identity groups will be studied through the use of pie charts to display results and draw comparisons that will be displayed on a **[web-based dashboard](https://donizk.shinyapps.io/EduAttain/)**. The statistical relationship between these factors and educational attainment will be studied using a *binary logistic regression*, to determine what populations had a higher odds of having a high school diploma or greater. The findings of this project affirm some of the findings presented in the literature, while providing new insight into certain racial and Hispanic ethnic subgroups rates of educational attainment. In general, the highest attaining populations in educational attainment were the White, Non Hispanic, and Female populations, compared to all other respective identity groups. Within the Hispanic ethnic group, the Cuban population maintained the highest level of educational attainment, relative to all other Hispanic ethnic subgroups. These results show that the *Human Capital Model* fails to consider certain aspects of identity that may greatly influence the level of education an individual attains, outside of the influence of income and financial investments into education.

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