Equal Access? Analyzing Charter Location Relative to Demographics in Ohio

Schools as market-based clusters: Geospatial and statistical analysis of charter schools in Ohio

“…TCS who strategically position themselves outside of the most disadvantaged census tracts, areas that tend to be predominantly Black, open themselves to enrolling Blacks, disadvantaged students, Whites and less disadvantaged individuals. These findings coincide with previous research that described patterns of TCS locating near, but not directly within, predominantly black neighborhoods and high poverty communities (d 'Entremont, 2012;Gulosino & d'Entremont, 2011;LaFleur, 2016;Lubienski et al, 2009;Saultz & Yaluma;.…”

“…Using a methodology similar to other research that examined the locations of charter schools in other geographic areas (Archbald, Hurwitz & Hurwitz, 2018;Gulosino & d'Entremont, 2011;LaFleur, 2016;Lubienski et al, 2009;Saultz, Fitzpatrick & Jacobsen, 2015;Saultz & Yaluma, 2017), the present analyses incorporate data from the U.S. Census Bureau and the Common Core of Data (CCD) available from the U.S. Department of Education's National Center for Educational Statistics (NCES) for the years 2014-2015. The CCD data contained enrollment characteristics, including race and grade level for the academic school year.…”

Closure and the roles of student performance and enrollment characteristics: A survival analysis of charter schools in Ohio’s largest urban counties

“…One possible reason that TCS with integrated enrollments are less likely to close may be due to geographic location. Several studies indicated that many TCS position themselves near, but not directly inside, areas that are predominantly Black and purposely avoid areas with high proportions of Black and disadvantaged students (d 'Entremont, 2012;Gilblom & Sang, 2019;Gulosino & d'Entremont, 2011;LaFleur, 2016;Lubienski et al, 2009;Saultz & Yaluma, 2017). By locating in areas that border predominantly Black neighborhoods, TCS may attract a more diverse student body that comes from both the predominantly Black neighborhoods and the adjacent White community.…”

“…This positioning may indicate that TCS strategically situate themselves outside of census tracts with high proportions of poor, Black individuals to access a steady stream of poor, Black students with less mobility while simultaneously attracting high-ability students of favorable backgrounds who are open to trying a new public school option, specifically students from TPS who require fewer resources to educate and who will most likely enhance the school's performance (Gilblom & Sang, 2019). Similar studies produced evidence of TCS purposely avoiding areas with higher proportions of Black and disadvantaged students (d 'Entremont, 2012;LaFleur, 2016;Lubienski, Gulosino, & Weitzel 2009;Saultz & Yaluma, 2017).…”

“…The third characteristic of survival analysis is the presence of explanatory or predictor variables (Allison, 2014;Rodriguez, 2010). Explanatory variables, such as income, may change over time which makes accurate measuring and inclusion in a model challenging if traditional statistical methods are employed (Allison, 2014).…”