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Winters, Marcus A. – Manhattan Institute for Policy Research, 2017
Critics of charter schools in New York City, America's largest school district, often allege that charters score better on standardized tests, on average, than traditional public schools because charters "cream-skim" (i.e., attract) the brightest, most motivated, students. Yet this accusation neglects the fact that not all traditional…
Descriptors: Charter Schools, Public Schools, School Effectiveness, Success
Wisconsin Department of Public Instruction, 2020
"Wisconsin Public Schools at a Glance" provides in a single page document statistical information on the following topics: (1) Schools & Districts (2019-2020); (2) Staff (2019-2020); (3) School Funding; (4) Students (2019-2020); and (4) Enrollment by School Type (2019-2020). [For "Wisconsin Public Schools at a Glance"…
Descriptors: Public Schools, School Statistics, School Districts, Educational Finance
Stojakovic, Zoran; Christian, Cinda – Online Submission, 2015
These maps were developed to supplement findings from the Fall 2012 Pearce and Garcia Middle Schools phone survey. The maps show the distribution and density of student households in the two attendance zones, the distribution of responses to the survey questions, as well as the proportion of ethnicities in the surveyed area.
Descriptors: Middle School Students, School Statistics, School Demography, Student Characteristics
Thomas B. Fordham Institute, 2019
"Ohio Education by the Numbers" offers busy policy makers, journalists, and civic and business leaders simple and easy-to-use vital statistics about Ohio's schools and the students they serve. The facts and figures contained within offer an overview of Ohio's students; where they go to school; their achievement on national and state…
Descriptors: School Statistics, Statistical Data, Public Schools, Student Characteristics
Tuttle, Christina Clark; Teh, Bing-ru; Nichols-Barrer, Ira; Gill, Brian P.; Gleason, Philip – Mathematica Policy Research, Inc., 2010
In this set of four supplemental tables, the authors compare the baseline test scores of the treatment and matched control group samples observed in each year after KIPP entry (outcome years 1 to 4). As discussed in Chapter III, the authors used an iterative propensity score estimation procedure to calculate each student's probability of entering…
Descriptors: Control Groups, Middle Schools, Student Characteristics, Tables (Data)