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Purser, Rebecca; Egelson, Paula; Fuga, Chris – Southern Regional Education Board (SREB), 2020
This research report presents the results of a study designed by SREB's Research and Accountability team to identify and unpack sources of inequity in K-12 public education. The study examined results from student surveys administered in 2018 to over 7,800 students in 15 states across the United States. Grounded in SREB's research-based Key…
Descriptors: Equal Education, Student Experience, Elementary Secondary Education, Student Surveys
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Cheslock, John J.; Hughes, Rodney P.; Cardelle, Rachel Frick; Heller, Donald E. – Review of Higher Education, 2018
When measuring institutional aid awards that address financial need, some researchers count all awards distributed based upon need-based criteria while other researchers count any awards that meet need. The sole use of either measure will omit key information, so we present two new measures--intentional and incidental need-meeting aid--that can be…
Descriptors: Student Financial Aid, Need Analysis (Student Financial Aid), Financial Aid Applicants, Evaluation Criteria
Peer reviewed Peer reviewed
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Hill, Catharine B.; Winston, Gordon C. – Economics of Education Review, 2010
In earlier work, the authors found that only 10% of the students at 28 of the nation's most selective private colleges and universities came from families in the bottom 40% of the US family income distribution and that there is a larger share of low-income high-ability students in the national population than in the student bodies of these…
Descriptors: Private Colleges, Family Income, Geographic Location, Selective Admission
Liu, Jinghua; Sinharay, Sandip; Holland, Paul W.; Feigenbaum, Miriam; Curley, Edward – Educational Testing Service, 2009
This study explores the use of a different type of anchor, a "midi anchor", that has a smaller spread of item difficulties than the tests to be equated, and then contrasts its use with the use of a "mini anchor". The impact of different anchors on observed score equating were evaluated and compared with respect to systematic…
Descriptors: Equated Scores, Test Items, Difficulty Level, Error of Measurement
Micceri, Theodore – Online Submission, 2007
Prompted by a puzzling recent growth in the proportions of minority entrants from Community Colleges (CCTs) into the Florida State University System (SUS), the current study analyzed over one million SUS applicants to determine whether any biases in entrance test scores tended to favor either whites over minorities, or males over females. Today,…
Descriptors: Low Income, High School Graduates, High Schools, Undergraduate Students
Peer reviewed Peer reviewed
Behrendt, Amy; And Others – Economics of Education Review, 1986
The determinants of Scholastic Aptitude Test scores are estimated for 1982 in a regression analysis correcting for the proportion of students taking the test. Schooling variables and statewide graduation standards proved insignificant. Demographic variables (family size and education levels) proved significant and help explain SAT score decline in…
Descriptors: Bias, Demography, Family Influence, Graduation Requirements
Peer reviewed Peer reviewed
Pandey, R. E. – Psychological Reports, 1971
Descriptors: Bias, College Entrance Examinations, Grade Point Average, Performance Factors
Skinner, Vincent P. – Independ Sch Bull, 1969
Descriptors: Admission Criteria, Aptitude Tests, Bias, College Admission
Fan, Xitao; Mathews, Tom A. – 1994
In this paper the bootstrap technique was applied to the evaluation of potential predictive bias for different ethnic groups using the Scholastic Aptitude Test (SAT) and high school ranks to predict college grade point averages (GPAs). Data of three ethnic groups were used; the total number of subjects was close to 5,000. Both conventional…
Descriptors: Bias, Class Rank, College Students, Ethnic Groups
Durio, Helen F.; And Others – 1980
Entrance scores on the Mathematics Achievement Test, Level I, and Scholastic Aptitude Test (verbal and mathematical), and high school rank for 2,189 students entering engineering as freshmen at The University of Texas at Austin during the years 1974-1977 were used in regression equations as predictors of academic achievement and retention for…
Descriptors: Academic Achievement, Academic Persistence, Achievement Tests, Aptitude Tests