3. DESIGN OF HOMESCHOOL AND CHARTER SCHOOL POLICY

2021 ◽  
pp. 81-101
2019 ◽  
Vol 121 (3) ◽  
pp. 1-24
Author(s):  
Bryan A. Mann ◽  
Stephen Kotok

Background/Context A primary argument that supports charter school policy assumes students favor schools with high academic performance ratings, leading to systemic school improvement. Previous research challenges this assumption but has limited generalizability because geographic and enrollment constraints limit student choice sets. Purpose/Objective This study examines student enrollment patterns within cyber charter schools in Pennsylvania, a state where elected policymakers tend to view choice as a means for school improvement. Cyber charter schools are advantageous to study in this context because they have fewer enrollment barriers, helping researchers account for constraints found in previous studies. Research Design Using consecutive years of student-level enrollment data, we use descriptive statistics and multinomial logistic regression analyses to answer the following questions: Is a particular cyber charter school more popular if it displays relatively higher performance on academic indicators? To what extent do enrollments in the highest performing cyber charter school relate to the demographics of students and school environments that they left? Findings/Results The findings suggest that despite the more accessible choice sets inherent in the cyber charter school sector, academic performance indicators still are not linked to popularity within the sector. Enrollment clustering persists along student demographics and feeder district traits. Conclusions/Recommendations These findings suggest that even in the cyber charter school sector where key enrollment restrictions are removed, inequitable enrollment patterns persist. These findings continue to challenge basic assumptions used in school choice policy framing. Policymakers should consider this evidence when and if they design and implement charter school policy, creating policy that accounts for inequitable enrollments that occur under current policy logic.


2016 ◽  
Vol 24 ◽  
pp. 19 ◽  
Author(s):  
Matthew Allen Linick

This project focuses on the competitive pressure, or the threat of competitive pressure, generated by charter school policy. This paper uses longitudinal district-level data and multiple quasi-experimental designs to examine the relationship between two Ohio charter school policies and changes in public school district instructional resource allocation. Some believe that the competitive pressure created by charter schools will improve efficiency in district-run public schools; however, the findings from this study do not reliably demonstrate that charter school policy will induce a public school district to increase the level of instructional resource allocation. The findings do provide evidence that some charter policies are linked to changes in resource allocation at certain school districts. This study suggests that additional, multiple method investigations are needed to study how public school districts respond to competition and policies designed to change the levels of competition in the public school system.   


2014 ◽  
Vol 28 (2) ◽  
pp. 175-206 ◽  
Author(s):  
Elizabeth DeBray ◽  
Janelle Scott ◽  
Christopher Lubienski ◽  
Huriya Jabbar

2012 ◽  
Vol 27 (1) ◽  
pp. 153-172
Author(s):  
Lee Jeongho [John] ◽  
Jeong Jin Woo

Charter schools are regarded as the fastest growing and most impressive innovative institution in public education in Colorado. However, a charter school policy has been unevenly implemented across Colorado school districts. This study aims to clarify what conditions lead to this uneven implementation. To examine the efforts of Colorado school districts to innovate within the conventional public school system, it analyzes several hypotheses based on the diffusion model and socioeconomic factors with an ordinary least squares regression model. Statistical analysis demonstrates that three predictor variables-diffusion, educational level, and alternative innovation-positively influence the social phenomenon that each Colorado school district shows different efforts in the implementation of charter school policy. Among them, the number of alternative schools is the strongest regressor, and the existence of neighboring school districts with charter schools is the second strongest regressor that exerts powerful effects to account for the wide variance in the implementation of Colorado school districts` charter school policy.


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