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Schoeneberger, Jason A. – Journal of Experimental Education, 2016
The design of research studies utilizing binary multilevel models must necessarily incorporate knowledge of multiple factors, including estimation method, variance component size, or number of predictors, in addition to sample sizes. This Monte Carlo study examined the performance of random effect binary outcome multilevel models under varying…
Descriptors: Sample Size, Models, Computation, Predictor Variables
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Weiss, Michael J.; Bloom, Howard S.; Verbitsky-Savitz, Natalya; Gupta, Himani; Vigil, Alma E.; Cullinan, Daniel N. – Journal of Research on Educational Effectiveness, 2017
Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) "and" the amount by which this impact varies across sites. Although both of these statistics are substantively…
Descriptors: Randomized Controlled Trials, Evidence, Models, Intervention
Ferrão, Maria Eugénia; Couto, Alcino Pinto – School Effectiveness and School Improvement, 2014
This article focuses on the use of a value-added approach for promoting school improvement. It presents yearly value-added estimates, analyses their stability over time, and discusses the contribution of this methodological approach for promoting school improvement programmes in the Portuguese system of evaluation. The value-added model is applied…
Descriptors: Foreign Countries, Educational Improvement, Achievement Gains, Case Studies
Knoeppel, Robert C.; Della Sala, Matthew R. – Educational Considerations, 2015
The conceptualization and measurement of education finance equity and adequacy has engaged researchers for more than three decades. At the same time, calls for increased academic accountability and higher student achievement in K-12 public education have reached new levels at both the national and state levels. Aligning these represents an…
Descriptors: Accountability, State Policy, Educational Finance, Outcomes of Education
Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification
Gfellner, Barbara M.; Armstrong, Helen D. – Journal of Early Adolescence, 2013
This study supported associations between three theoretically driven conceptualizations of racial and ethnic identity (REI; Multigroup Ethnic Identity Measure; Multidimensional Racial Identity Measure; Bicultural Identity Measure) and with adaptive functioning among Canadian indigenous adolescents in middle school to high school. Age differences…
Descriptors: Foreign Countries, Racial Identification, Ethnicity, Biculturalism
Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification
Pingry O'Neill, Laura N.; Markward, Martha J.; French, Joshua P. – Journal of Postsecondary Education and Disability, 2012
This exploratory study determined which set of student characteristics and disability-related services explained graduation success among college students with disabilities. The archived records of 1,289 unidentified students with disabilities in three public universities were examined ex-post-facto to collect demographic data on the students, the…
Descriptors: College Students, Disabilities, Student Characteristics, Predictor Variables
Palmer, Lauren E.; Erford, Bradley T. – Professional Counselor, 2012
This study explored the prediction of student outcome variables from the ASCA national model level of program implementation. A total sampling of schools from two suburban school districts was conducted. Outcome variables were measures of math and reading achievement scores, attendance and graduation rates. Such measures play a central role in…
Descriptors: Outcome Measures, Predictor Variables, Prediction, Program Implementation
Speece, Deborah L.; Schatschneider, Christopher; Silverman, Rebecca; Case, Lisa Pericola; Cooper, David H.; Jacobs, Dawn M. – Elementary School Journal, 2011
Models of Response to Intervention (RTI) include parameters of assessment and instruction. This study focuses on assessment with the purpose of developing a screening battery that validly and efficiently identifies first-grade children at risk for reading problems. In an RTI model, these children would be candidates for early intervention. We…
Descriptors: Reading Difficulties, Early Intervention, Grade 1, Response to Intervention

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