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Causal Inference Using Educational Observational Data: Statistical Bias Reduction Methods and Multilevel Data Extensions
This study utilizes a data driven simulation design, which deviates from the traditional model-based approaches most commonly adopted in quasi-experimental Monte Carlo (MC) simulation studies, to answer two main questions. First, this study explores the finite sample properties of the most utilized quasi-experimental methods ...
Factors Associated with Latina/o College Aspirations: A Structural Equation Modeling Multiple Group Comparisons Approach
This study utilizes Confirmatory Factor Analysis and Structural Equation Modeling Multiple Group Comparison Framework to explore the college aspiration of Latina/o sophomore students. The purpose of this study was to highlight the potential heterogeneity of Latinos as a whole, when gender is taken into consideration. Results ...