Patterns in Illinois educational school data

We examine Illinois educational data from standardized exams and analyze primary factors affecting the achievement of public school students. We focus on the simplest possible models: representation of data through visualizations and regressions on single variables. Exam scores are shown to depend o...

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Bibliographic Details
Main Authors: Cacey S. Stevens, Michael Marder, Sidney R. Nagel
Format: Article
Language:English
Published: American Physical Society 2015-05-01
Series:Physical Review Special Topics. Physics Education Research
Online Access:http://doi.org/10.1103/PhysRevSTPER.11.010113
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spelling doaj-af9335d8ec254f27adb3f7473181d4512020-11-25T02:19:08ZengAmerican Physical SocietyPhysical Review Special Topics. Physics Education Research1554-91782015-05-0111101011310.1103/PhysRevSTPER.11.010113Patterns in Illinois educational school dataCacey S. StevensMichael MarderSidney R. NagelWe examine Illinois educational data from standardized exams and analyze primary factors affecting the achievement of public school students. We focus on the simplest possible models: representation of data through visualizations and regressions on single variables. Exam scores are shown to depend on school type, location, and poverty concentration. For most schools in Illinois, student test scores decline linearly with poverty concentration. However, Chicago must be treated separately. Selective schools in Chicago, as well as some traditional and charter schools, deviate from this pattern based on poverty. For any poverty level, Chicago schools perform better than those in the rest of Illinois. Selective programs for gifted students show high performance at each grade level, most notably at the high school level, when compared to other Illinois school types. The case of Chicago charter schools is more complex. Up to 2008, Chicago charter and neighborhood schools had similar performance scores. In the last few years, charter students’ scores overtook those of students in traditional schools as the number of charter school locations increased.http://doi.org/10.1103/PhysRevSTPER.11.010113
collection DOAJ
language English
format Article
sources DOAJ
author Cacey S. Stevens
Michael Marder
Sidney R. Nagel
spellingShingle Cacey S. Stevens
Michael Marder
Sidney R. Nagel
Patterns in Illinois educational school data
Physical Review Special Topics. Physics Education Research
author_facet Cacey S. Stevens
Michael Marder
Sidney R. Nagel
author_sort Cacey S. Stevens
title Patterns in Illinois educational school data
title_short Patterns in Illinois educational school data
title_full Patterns in Illinois educational school data
title_fullStr Patterns in Illinois educational school data
title_full_unstemmed Patterns in Illinois educational school data
title_sort patterns in illinois educational school data
publisher American Physical Society
series Physical Review Special Topics. Physics Education Research
issn 1554-9178
publishDate 2015-05-01
description We examine Illinois educational data from standardized exams and analyze primary factors affecting the achievement of public school students. We focus on the simplest possible models: representation of data through visualizations and regressions on single variables. Exam scores are shown to depend on school type, location, and poverty concentration. For most schools in Illinois, student test scores decline linearly with poverty concentration. However, Chicago must be treated separately. Selective schools in Chicago, as well as some traditional and charter schools, deviate from this pattern based on poverty. For any poverty level, Chicago schools perform better than those in the rest of Illinois. Selective programs for gifted students show high performance at each grade level, most notably at the high school level, when compared to other Illinois school types. The case of Chicago charter schools is more complex. Up to 2008, Chicago charter and neighborhood schools had similar performance scores. In the last few years, charter students’ scores overtook those of students in traditional schools as the number of charter school locations increased.
url http://doi.org/10.1103/PhysRevSTPER.11.010113
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