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Rattaz, Cécile; Munir, Kerim; Michelon, Cécile; Picot, Marie-Christine; Baghdadli, Amaria; Baghdadli, Amaria; Baghdadli, Amaria; Chabaux, Catherine; Chatel, Clarisse; Cohen, David; Damville, Emmanuel; Geoffray, Marie-Maude; Gicquel, Ludovic; Jardri, Renaud; Maffre, Thierry; Novo, Alexandre; Odoyer, Roxane; Oreve, Marie-Joëlle; Périsse, Didier; Poinso, François; Pottelette, Julien; Robel, Laurence; Rolland, Catherine; Schoenberger, Marie; Serret, Sylvie; Sonié, Sandrine; Speranza, Mario; Vespirini, Stéphanie – Journal of Autism and Developmental Disorders, 2020
Children and adolescents with ASD are increasingly included in regular school settings, however little is known about how placement decisions are made. In the present study, we examined the types and duration of school attendance among children and adolescents in the ELENA Cohort, a multi-center study of children and adolescents with ASD, ages…
Descriptors: Foreign Countries, Inclusion, Children, Adolescents
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Pike, Gary R.; Robbins, Kirsten R. – Research in Higher Education, 2020
Institutional graduation rates occupy a prominent place in institutional research and public policy. Graduation rates are used in the College Scorecard, state performance funding initiatives, and potentially affect a significant proportion of public institutions revenues. Despite their widespread use, research suggests that institutional…
Descriptors: Institutional Characteristics, Institutional Role, Graduation Rate, Student Characteristics
Reardon, Sean F.; Papay, John P.; Kilbride, Tara; Strunk, Katherine O.; Cowen, Joshua; An, Lily; Donohue, Kate – Stanford Center for Education Policy Analysis, 2019
In this paper we compare two approaches to measuring the average rate at which students learn in a given school or district. One type of measure--longitudinal growth measures--relies on student-level longitudinal data. A second type--cohort growth measures--relies only on repeated aggregated, cross-sectional data. Because student-level data is…
Descriptors: Measurement Techniques, Growth Models, Cohort Analysis, Longitudinal Studies
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Blazar, David; Kraft, Matthew A. – AERA Open, 2019
Over the past 15 years, the education research community has advocated for rigorous research designs that support causal inferences, for research that provides more generalizable results across settings, and for the value of research-practice partnerships that inform the design of local programs and policies. We propose the multi-cohort,…
Descriptors: Longitudinal Studies, Educational Research, Cohort Analysis, Replication (Evaluation)
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Thompson, Lucy; Gillberg, Christopher; Landberg, Sara; Kantzer, Anne-Katrin; Miniscalco, Carmela; Barnevik Olsson, Martina; Eriksson, Mats A.; Fernell, Elisabeth – Journal of Autism and Developmental Disorders, 2019
Two community-based cohorts of children with autism spectrum disorder, examined using similar assessment protocols, were pooled (n = 301) and subdivided according to history of regression. Those with regression (n = 62), 20.5% of the combined cohort, were contrasted with those without regression (n = 241) at first assessment (age range…
Descriptors: Autism, Pervasive Developmental Disorders, Genetics, Symptoms (Individual Disorders)
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Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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Webber, Ann; Rui, Ning; Garrison-Mogren, Roberta; Olsen, Robert B.; Gutmann, Babette – National Center for Education Evaluation and Regional Assistance, 2019
This document presents the technical appendices that accompanies the full report, "Evaluation of the DC Opportunity Scholarship Program: Impacts Three Years after Students Applied." The four appendices include: (1) Program Features, Lottery Structure, Study Sample, and School Characteristics; (2) Technical Approach; (3) Impact Findings…
Descriptors: Program Evaluation, Program Effectiveness, Scholarships, Program Content
Frenette, Marc – Statistics Canada, 2019
Given the time and money invested in higher education by students, parents and governments, there is considerable interest in the economic outcomes of postsecondary graduates. Most assessments of recent graduates have focused on their short-term, early labour market results. As new entrants to the labour force, recent postsecondary graduates may…
Descriptors: Foreign Countries, Education Work Relationship, College Graduates, Income
Oregon Department of Education, 2019
High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…
Descriptors: Cohort Analysis, Graduation Rate, High School Students, High Schools
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Beck, Leesa; Wright, Alexis – College and University, 2019
The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…
Descriptors: Undergraduate Students, Age Groups, Student Characteristics, Cohort Analysis
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Whitsel, Christopher M.; Junisbai, Barbara; Junisbai, Azamat – European Education, 2019
This article investigates the contours of inequality in the context of institutional decline and polarization in educational attainment. Using household survey data collected in 2005-2006 by UNICEF, we conduct synthetic cohort analyses estimating the likelihood of transitioning to secondary and higher education for men and women; urban and rural…
Descriptors: Social Change, Educational Attainment, Cohort Analysis, Urban Areas
Henrie, Kimberly; Curtain, Joseph A.; Ma, David – Utah System of Higher Education, 2019
Relying on the data from Utah System of Higher Education (USHE), Utah State Board of Education (USBE), and National Student Clearinghouse (NSC), this report examines college participation rates of Utah high school graduates (cohorts 2008-2017), with a focus on the gap in college participation between Caucasians and minorities. The report also…
Descriptors: Student Participation, College Attendance, High School Graduates, Educational Attainment
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Stoker, Ginger; Mellor, Lynn; Sullivan, Kate – Regional Educational Laboratory Southwest, 2018
This study examines Algebra II completion and failure rates for students entering Texas public high schools from 2007/08 through 2014/15. This period spans the time when Texas students, beginning with the 2007/08 grade 9 cohort, were required to take four courses each in English, math (including Algebra II), science, and social studies (called the…
Descriptors: Educational Trends, Algebra, Mathematics Achievement, Academic Failure
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Chesters, Jenny; Rutter, Kerry; Nelson, Karen; Watson, Louis – Australian Universities' Review, 2018
During the past three decades, the student populations of Australian universities have become more heterogeneous as the higher education sector expanded and new alternative entry pathways were established. Broadening access to university study and, therefore, to professional and semi-professional occupations, provides avenues for social mobility.…
Descriptors: Postsecondary Education, Access to Education, College Preparation, Academic Persistence
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Chalmers, Charlotte; Mowat, Elaine; Chapman, Maggie – Active Learning in Higher Education, 2018
The setting, marking and providing feedback on assessments form an important part of a tutor's role. Studies into the use of feedback and how it is interpreted by students indicate a mismatch between what students are looking for and what tutors think they are giving. Tutors comment that students are more interested in the mark than the feedback,…
Descriptors: Feedback (Response), Teacher Attitudes, Student Attitudes, Grading
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