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Showing 1 to 15 of 19 results Save | Export
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Gleason, Philip M.; Tuttle, Christina Clark; Gill, Brian; Nichols-Barrer, Ira; Teh, Bing-ru – Education Finance and Policy, 2014
The Knowledge Is Power Program (KIPP) is an influential and rapidly growing nationwide network of charter schools serving primarily disadvantaged minority students. Prominent elements of KIPP's educational model include high expectations for student achievement and behavior, and a substantial increase in time in school. KIPP is being watched…
Descriptors: Charter Schools, Disadvantaged Youth, Academic Achievement, Student Behavior
Indiana Commission for Higher Education, 2015
The Indiana Commission for Higher Education is committed to providing a clearer and more comprehensive picture of college completion in order to inform and advance Indiana's collective efforts to boost education attainment. In partnership with Indiana public colleges and the National Student Clearinghouse, the Commission has collected completion…
Descriptors: Educational Attainment, College Graduates, Higher Education, Graduation Rate
Indiana Commission for Higher Education, 2014
The Indiana Commission for Higher Education is committed to providing a clearer and more comprehensive picture of college completion in order to inform and advance Indiana's collective efforts to boost education attainment. In partnership with Indiana public colleges and the National Student Clearinghouse, the Commission has collected completion…
Descriptors: Educational Attainment, College Graduates, Higher Education, Graduation Rate
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Foorman, Barbara R.; Kershaw, Sarah; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2013
Florida requires that students who do not meet grade-level reading proficiency standards on the end-of-year state assessment (Florida Comprehensive Assessment Test, FCAT) receive intensive reading intervention. With the stakes so high, teachers and principals are interested in using screening or diagnostic assessments to identify students with a…
Descriptors: Reading Comprehension, At Risk Students, Reading Skills, Reading Difficulties
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Dwenger, Nadja; Storck, Johanna; Wrohlich, Katharina – Economics of Education Review, 2012
Several German states recently introduced tuition fees for university education. We investigate whether these tuition fees influence the mobility of university applicants. Based on administrative data of applicants for medical schools in Germany, we estimate the effect of tuition fees on the probability of applying for a university in the home…
Descriptors: Foreign Countries, Medical Schools, High School Graduates, Probability
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Nelson-Field, Karen; Goodman, Steven – Higher Education Review, 2011
This study evaluates the relationship between student counselling intervention and university persistence. We find that students deemed high-risk can directly benefit from student counselling intervention thus reducing their propensity to withdraw. We find that the characteristics of students who are at greatest risk of withdrawal include both…
Descriptors: Intervention, Probability, Student Attrition, Risk
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Cragg, Kristina M. – Research in Higher Education, 2009
The purpose of this study is to identify student and institutional characteristics that influence the probability for graduation. The study delves further into the probability for graduation by examining how far the student deviates from the institutional mean with respect to academics and affordability; this concept is referred to as the "match."…
Descriptors: Graduation, Institutional Characteristics, Multivariate Analysis, Probability
Webber, Douglas A. – Cornell Higher Education Research Institute, 2011
Using detailed individual-level data from public universities in the state of Ohio, I estimate the effect of various institutional expenditures on the probability of graduating from college. Using a competing risks regression framework, I find differential impacts of expenditure categories across student characteristics. I estimate that student…
Descriptors: Public Colleges, Educational Finance, Cost Effectiveness, College Administration
Jorgensen, Shirley; Fichten, Catherine; Havel, Alice – Online Submission, 2009
The main aim of this study was to gain a better understanding of why students abandon their studies, or perform less well than expected given their high school grades, and to develop predictive models that can help identify those students most at-risk at the time they enter college. This will allow teachers and those responsible for student…
Descriptors: High School Students, Grades (Scholastic), Academic Failure, Profiles
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Henry, Kimberly L. – Journal of School Health, 2007
Background: Truancy is a serious concern that affects most school districts in the United States; however, we do not have accurate estimates of the prevalence of truancy due to inconsistent tracking and reporting practices of schools. As a result, our best current estimates of the national state of truancy may be from self-reported data. In this…
Descriptors: Attendance Patterns, Behavior Patterns, Correlation, Drug Use
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Vandamme, J. -P.; Meskens, N.; Superby, J. -F. – Education Economics, 2007
Academic failure among first-year university students has long fuelled a large number of debates. Many educational psychologists have tried to understand and then explain it. Many statisticians have tried to foresee it. Our research aims to classify, as early in the academic year as possible, students into three groups: the "low-risk"…
Descriptors: College Freshmen, Educational Psychology, Questionnaires, Databases
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Osborne, Michael; McLaurin, Iain – Higher Education: The International Journal of Higher Education and Educational Planning, 2006
As part of the impetus to increase and widen participation in the UK, and in Scotland in particular, there has been considerable effort put into creating links between Further Education Colleges (FECs) and Higher Education Institutions (HEIs). However, because no unique identifier is used to track students between the two sectors, little is known…
Descriptors: Foreign Countries, Adult Education, Higher Education, Student Characteristics
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Le, Anh T.; Miller, Paul W. – Education Economics, 2004
The decision to invest in education is influenced by a large number of economic, social, family, personal and institutional factors. Many of these changed in Australia during the 1970s and 1980s. Several of the more important of these changes, such as the Equal Pay for Equal Work decision of 1969, the Equal Pay for Work of Equal Value decision of…
Descriptors: Foreign Countries, Dropouts, Family Influence, Education Work Relationship
Epstein, Kenneth I.; Steinheiser, Frederick H., Jr. – 1978
A multiparameter, programmable model was developed to examine the interactive influence of certain parameters on the probability of deciding that an examinee had attained a specified degree of mastery. It was applied within the simulated context of performance testing of military trainees. These parameters included: (1) the number of assumed…
Descriptors: Academic Ability, Bayesian Statistics, Cutting Scores, Hypothesis Testing
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Sibulkin, Amy E.; Butler, J. S. – Research in Higher Education, 2005
Black and White students who enrolled in college by age 20 were selected from a national probability sample, in order to estimate the prevalence of having children and the effect of having a child on probability of graduation with a bachelor's degree. Black students reported significantly higher rates of having children than White students, but…
Descriptors: Graduation Rate, African American Students, White Students, College Students
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