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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Haber, Mason G.; Mazzotti, Valerie L.; Mustian, April L.; Rowe, Dawn A.; Bartholomew, Audrey L.; Test, David W.; Fowler, Catherine H. – Review of Educational Research, 2016
Students with disabilities experience poorer post-school outcomes compared with their peers without disabilities. Existing experimental literature on "what works" for improving these outcomes is rare; however, a rapidly growing body of research investigates correlational relationships between experiences in school and post-school…
Descriptors: Meta Analysis, Predictor Variables, Success, Postsecondary Education
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Demirer, Veysel; Erbas, Cagdas – Turkish Online Journal of Distance Education, 2016
This study aims to review studies on virtual learning environments in Turkey through the content analysis method. 63 studies consisting of thesis, articles and proceedings published in Turkish and English between 1996-2014 years were analyzed. It was observed that "Second Life" was mostly preferred as the virtual learning environment.…
Descriptors: Foreign Countries, Virtual Classrooms, Electronic Learning, Educational Trends
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
Progress in International Reading Literacy Study (PIRLS) provides international comparative data about students' reading achievement after four years of primary schooling, while also measuring trends over time, monitoring curricular implementation, and identifying promising instructional practices. Conducted on a regular 5-year cycle, PIRLS has…
Descriptors: Guides, Users (Information), Reading Achievement, Best Practices
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
The PIRLS 2011 international database includes data for all questionnaires administered as part of the PIRLS 2011 assessment. This supplement contains the international version of the PIRLS 2011 background questionnaires and curriculum questionnaires in the following 5 sections: (1) Student Questionnaire; (2) Home Questionnaire (Learning to Read…
Descriptors: Questionnaires, Databases, Student Surveys, Teacher Surveys
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Luyten, Hans; Tymms, Peter; Jones, Paul – School Effectiveness and School Improvement, 2009
The research findings presented in this paper illustrate how the "value added" of schooling can be assessed empirically using cross-sectional data. Application of the regression-discontinuity approach within a multilevel framework produces both an estimate of the absolute effect of 1 year schooling and an estimate of the variation across…
Descriptors: Academic Achievement, Longitudinal Studies, Sampling, Achievement Gains
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Das, J. P.; Kirby, John R. – Journal of Educational Psychology, 1978
Humphreys' comments on double-median splits (TM 504 009) are essentially correct, but are not relevant to the original Kirby and Das article (EJ 182 444). His comments do not weaken our findings. (Author/RD)
Descriptors: Analysis of Variance, Data Analysis, Individual Differences, Predictor Variables
McLean, Les – 1982
The issues and some proposed solutions regarding Follow Through (FT) site variability are examined with a review of developments in FT evaluation. The role of adjusted site means with differences within sponsors and between sponsors and background characteristics is discussed to determine whether adjusted means are the preferred measures of model…
Descriptors: Academic Achievement, Classroom Environment, Data Analysis, Elementary Secondary Education
National Center for Education Statistics (DHEW), Washington, DC. – 1977
A complex two-stage sample selection process was used in designing the National Longitudinal Study of the High School Class of 1972. The first-stage sampling frame used in the selection of schools was stratified by the following seven variables: public vs. private control, geographic region, grade 12 enrollment, proximity to institutions of higher…
Descriptors: Analysis of Variance, Cluster Analysis, Data Analysis, High School Students
Moore, R. P.; And Others – 1974
An efficiency study was conducted of the base year design used for the National Longitudinal Study of the High School Class of 1972 (NLS). Finding the optimal design involved a search for the numbers of sample schools and students that would maximize the variance at a given cost. Twenty-one variables describing students' plans, attitudes,…
Descriptors: Cost Effectiveness, Data Analysis, Efficiency, Followup Studies
Moore, R. P.; Shah, B. V. – 1975
An efficiency study was conducted of the sampling design used for the National Longitudinal Study of the High School Class of 1972 (NLS), and the change variables used in the first followup. Nine alternative designs were compared, using a cost model based upon the number of schools and students sampled. Fourteen change variables and eight domains…
Descriptors: Attitude Change, Cost Effectiveness, Data Analysis, Efficiency
Reder, Stephen; Edmonston, Barry – 2000
Anticipated demographic changes in the United States adult population in the decade between the National Adult Literacy Survey (NALS) of 1992 and the National Assessment of Adult Literacy (NAAL), which is scheduled for 2002, were reviewed. Next, the implications of those changes for the NALS and NAAL were analyzed. The analysis focused on births,…
Descriptors: Adult Basic Education, Adult Literacy, Agency Role, Aging (Individuals)