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Articles 1 - 4 of 4
Full-Text Articles in Social Statistics
Asians Applying For Postsecondary Success: Students, Schools, And Socioeconomic Status, Avery M.D. Davis
Asians Applying For Postsecondary Success: Students, Schools, And Socioeconomic Status, Avery M.D. Davis
Dissertations, Theses, and Capstone Projects
Higher education recruitment rates are rapidly declining as schools are stymied by dynamic demographic shifts and a competitive ecosystem. Despite the constant realities of this challenge for tertiary institutions, the complexities of the interplay for demographics, student motivation, parental influences, and school environments during the postsecondary education application process is often overlooked. This thesis analyses how these four domains impact Asian American students within the Education Longitudinal Study (ELS) in terms of the number of postsecondary schools to which they apply? This study examines a sample (N = 662) of the ELS by employing multivariate regression analysis on the number …
Class Matters: School Affluence And Other Predictors Of Attainment For Wealthy And Poor Students, Alison Brockhouse
Class Matters: School Affluence And Other Predictors Of Attainment For Wealthy And Poor Students, Alison Brockhouse
Dissertations, Theses, and Capstone Projects
Public schools in the United States are becoming increasingly segregated by socioeconomic status. Though the educational consequences of socioeconomic segregation are well researched, segregation is often ignored or exacerbated by education reform. To learn more about the wider implications of socioeconomic segregation, this study utilizes theoretical frameworks derived from Max Weber’s theory of social stratification to analyze over 10,000 students’ experiences from the National Center for Education Statistics (NCES) Education Longitudinal Study (ELS) 2002, 2004, and 2012 waves of data collection. More specifically, this research explores the impact of attending an affluent high school on long-term educational attainment. It finds …
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Dissertations, Theses, and Capstone Projects
Meta-analytic data have a natural hierarchical structure to them, where individuals are nested within studies, and have both within-and between-study variation to model. A random-effects hierarchical linear model is useful to conduct a meta-analysis because it allows one to appropriately parse out the two components of variation that exist within and across studies to determine an observed effect. Empirical Bayes estimation considers the reliability of variance estimates; when the reliability of the effect size estimate for a study is high, substantial weight is placed on that estimate. However, problems with estimation arise when the number of studies and their sample …
The Value Of Value-Added: Science, Technology, And Policy In Educational Evaluation, Daniel Douglas
The Value Of Value-Added: Science, Technology, And Policy In Educational Evaluation, Daniel Douglas
Dissertations, Theses, and Capstone Projects
In the first decade of the 21st century, researchers and policymakers in K-12 education began to focus on evaluating teacher and school performance based on students’ standardized test scores. One evaluative technique, value-added assessment (VAA), has been given particular attention. This research presents a comprehensive study of the theoretical, technical, historical and political dimensions VAA. Theoretically, the assumptions that underlie value-added diverge significantly from the observed operations of the schools and classrooms these models are supposed to evaluate. Technically, even if the theoretical assumptions are accepted, teachers’ actual value-added rankings are shown to be unstable across time periods and …