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Rush, Alyssa; Inoa, Rafael; Ramaswami, Soundaram – Journal of Education Finance, 2022
Racial and economic segregation continues throughout the US due to multiple factors (Rothstein, 2017), and inequality in school infrastructure spendings has been related to racial and economic segregation (Sosina & Weathers, 2019). While the obvious solution is to desegregate neighborhoods, society's inability to do this leads to a dire need…
Descriptors: Educational Finance, Educational Facilities, Outcomes of Education, Family Income
Olbrecht, Alexandre M.; Romano, Christopher; Teigen, Jeremy – Journal of Student Financial Aid, 2016
In this paper, we leverage detailed, individual-level student data to understand the relationships between family finances, merit-based aid, and first-year student retention. With three cohorts of student data that comprise family financial status, institutional merit scholarships, and many of the other known correlates of student retention, we…
Descriptors: Higher Education, Academic Persistence, Family Income, Parent Financial Contribution
Tienken, Christopher H.; Colella, Anthony; Angelillo, Christian; Fox, Meredith; McCahill, Kevin R.; Wolfe, Adam – RMLE Online: Research in Middle Level Education, 2017
The use of standardized test results to drive school administrator evaluations pervades education policymaking in more than 40 states. However, the results of state standardized tests are strongly influenced by non-school factors. The models of best fit (n = 18) from this correlational, explanatory, longitudinal study predicted accurately the…
Descriptors: Predictor Variables, Standardized Tests, Test Results, Models
Thomas, Pauline; Zahorodny, Walter; Peng, Bo; Kim, Soyeon; Jani, Nisha; Halperin, William; Brimacombe, Michael – Autism: The International Journal of Research and Practice, 2012
Background: In 2007 the Centers for Disease Control and Prevention (CDC) reported a higher prevalence of autism spectrum disorder (ASD) in New Jersey, one of the wealthiest states in the United States, than in other surveillance regions. Objective: To examine the association of socioeconomic status (SES) with ASD prevalence. Methods: Information…
Descriptors: Socioeconomic Status, Autism, Educational Diagnosis, Disability Identification