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Armendáriz, Joyzukey; Tarango, Javier; Machin-Mastromatteo, Juan Daniel – Journal of New Approaches in Educational Research, 2018
This descriptive and correlational research studies 15,658 students from 335 secondary schools in the state of Chihuahua, Mexico, through the results of the examination of admission to high school education (National High School Admission Test--EXANI I from the National Assessment Center for Education--CENEVAL) on logical-mathematical and verbal…
Descriptors: Institutional Characteristics, Competition, Junior High Schools, Correlation
Davis, Matthew; Heller, Blake – Education Next, 2017
Do "no excuses" charter high schools merely help students succeed on standardized tests? Are their students more likely to succeed after they leave school behind? Is it test prep, or true learning? Little prior research is available on this question. Although there is a robust positive correlation between test performance and college…
Descriptors: Charter Schools, High School Students, Scores, Public Schools
Bui, Sa; Imberman, Scott; Craig, Steven – Education Next, 2012
Three million students in the United States are classified as gifted, yet little is known about the effectiveness of traditional gifted and talented (G&T) programs. In theory, G&T programs might help high-achieving students because they group them with other high achievers and typically offer specially trained teachers and a more advanced…
Descriptors: Urban Schools, Gifted, Academic Achievement, Ability Grouping
Hoover, Eric – Chronicle of Higher Education, 2007
The college admissions process teaches students how to express themselves during interviews, how to describe their best qualities in application essays. It may also make them wary of college marketing campaigns, and skeptical of being treated as a statistics, due to the large role played by standardized-test scores and grade-point averages. Such…
Descriptors: Extracurricular Activities, College Applicants, Standardized Tests, Marketing
Peer reviewedGarrison, Dean H. – College and University, 1981
A statistical model is presented for processing quantitative admission data that weights equally two or more quantitative elements to ensure that the N most consistently high scorers qualify for the N available positions. The quantitative elements considered are overall grade point average (GPA), GPA in selected courses, and standardized test…
Descriptors: Admission Criteria, College Admission, Competitive Selection, Decision Making

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