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Showing 1 to 15 of 72 results
Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
Isenberg, Eric; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
We outline the options available to policymakers for addressing co-teaching in a value-added model. Building on earlier work, we propose an improvement to a method of accounting for co-teaching that treats co-teachers as teams, with each teacher receiving equal credit for co-taught students. Hock and Isenberg (2012) described a method known as the…
Descriptors: Team Teaching, Teacher Effectiveness, Teacher Collaboration, Evaluation Methods
Parsons, Eric; Koedel, Cory; Podgursky, Michael; Ehlert, Mark; Xiang, P. Brett – Journal of Research on Educational Effectiveness, 2015
There is increased policy interest in extending test-based evaluations in K-12 education to include student achievement in high school. High school achievement is typically measured by performance on end-of-course exams (EOCs), which test course-specific standards in a variety of subjects. However, unlike standardized tests in the early grades,…
Descriptors: Tests, Exit Examinations, Student Evaluation, High School Students
Goldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
Guarino, Cassandra M.; Reckase, Mark D.; Stacy, Brian W.; Wooldridge, Jeffrey M. – Journal of Research on Educational Effectiveness, 2015
We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between student-level random and fixed effects, and a test for feedback (sometimes called a "falsification test"). We discuss…
Descriptors: Teacher Effectiveness, Educational Quality, Evaluation Methods, Tests
Johnson, Matthew T.; Lipscomb, Stephen; Gill, Brian – Journal of Research on Educational Effectiveness, 2015
Teacher value-added models (VAMs) must isolate teachers' contributions to student achievement to be valid. Well-known VAMs use different specifications, however, leaving policymakers with little clear guidance for constructing a valid model. We examine the sensitivity of teacher value-added estimates under different models based on whether…
Descriptors: Teacher Effectiveness, Teacher Influence, Academic Achievement, Models
Zamarro, Gema; Engberg, John; Saavedra, Juan Esteban; Steele, Jennifer – Journal of Research on Educational Effectiveness, 2015
This article investigates the use of teacher value-added estimates to assess the distribution of effective teaching across students of varying socioeconomic disadvantage in the presence of classroom composition effects. We examine, via simulations, how accurately commonly used teacher value-added estimators recover the rank correlation between…
Descriptors: Teacher Effectiveness, Disadvantaged Youth, Socioeconomic Influences, Socioeconomic Status
Munter, Charles; Wilhelm, Anne Garrison; Cobb, Paul; Cordray, David S. – Journal of Research on Educational Effectiveness, 2014
This article draws on previously employed methods for conducting fidelity studies and applies them to an evaluation of an unprescribed intervention. We document the process of assessing the fidelity of implementation of the Math Recovery first-grade tutoring program, an unprescribed, diagnostic intervention. We describe how we drew on recent…
Descriptors: Intervention, Program Implementation, Mathematics Education, Educational Diagnosis
Deke, John; Gill, Brian; Dragoset, Lisa; Bogen, Karen – Journal of Research on Educational Effectiveness, 2014
One of the modifications of the Elementary and Secondary Education Act (known as the No Child Left Behind Act) gave parents of low-income students in low-performing schools a choice of Supplemental Educational Services (SEdS). SEdS include tutoring or other academic support services offered outside the regular school day, at no charge to students…
Descriptors: Supplementary Education, Federal Legislation, Educational Legislation, Tutoring
Case, Lisa; Speece, Deborah; Silverman, Rebecca; Schatschneider, Christopher; Montanaro, Elizabeth; Ritchey, Kristen – Journal of Research on Educational Effectiveness, 2014
This research investigated the immediate and long-term effects of a Tier 2 intervention for beginning readers identified as having a high probability of reading failure using a randomized control trial. First-grade participants (n = 123) were randomly assigned either to a 25-session intervention targeting key reading components, including…
Descriptors: Reading Instruction, Reading Failure, Response to Intervention, Control Groups
Tipton, Elizabeth; Hedges, Larry; Vaden-Kiernan, Michael; Borman, Geoffrey; Sullivan, Kate; Caverly, Sarah – Journal of Research on Educational Effectiveness, 2014
Randomized experiments are often seen as the "gold standard" for causal research. Despite the fact that experiments use random assignment to treatment conditions, units are seldom selected into the experiment using probability sampling. Very little research on experimental design has focused on how to make generalizations to well-defined…
Descriptors: Probability, Inferences, Eligibility, Recruitment
August, Diane; Branum-Martin, Lee; Cárdenas-Hagan, Elsa; Francis, David J.; Powell, Jennifer; Moore, Sarah; Haynes, Erin F. – Journal of Research on Educational Effectiveness, 2014
The goal of this study was to assess the effectiveness of an intervention--Quality English and Science Teaching 2--designed to help English language learners (ELLs) and their English proficient classmates develop academic language in science, as required by the Common Core State Standards. The intervention consisted of supplementary instructional…
Descriptors: English Language Learners, State Standards, Academic Standards, Intervention
Porter, Andy; Yang, Rui; Hwang, Jun; McMaken, Jennifer; Rorison, Jamey – Journal of Research on Educational Effectiveness, 2014
The amount of merit-based scholarship support for graduate students in the United States has increased dramatically. Given this increased investment, does increasing the size of scholarships awarded to the most academically able admitted students substantially increase their probability of enrollment? We found no support for a positive answer to…
Descriptors: Scholarships, Graduate Students, Masters Programs, Schools of Education
Papay, John P.; Murnane, Richard J.; Willett, John B. – Journal of Research on Educational Effectiveness, 2014
We examine whether barely failing one or more state-mandated high school exit examinations in Massachusetts affects the probability that students enroll in college. We extend the exit examination literature in two ways. First, we explore longer term effects of failing these tests. We find that barely failing an exit examination, for students on…
Descriptors: Exit Examinations, Adolescents, Evidence, Regression (Statistics)
Rhoads, Christopher – Journal of Research on Educational Effectiveness, 2014
Recent publications have drawn attention to the idea of utilizing prior information about the correlation structure to improve statistical power in cluster randomized experiments. Because power in cluster randomized designs is a function of many different parameters, it has been difficult for applied researchers to discern a simple rule explaining…
Descriptors: Correlation, Statistical Analysis, Multivariate Analysis, Research Design

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