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Shen, Zuchao; Kelcey, Benjamin – Journal of Research on Educational Effectiveness, 2022
Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
Li, Wei; Dong, Nianbo; Maynarad, Rebecca; Spybrook, Jessaca; Kelcey, Ben – Journal of Research on Educational Effectiveness, 2023
Cluster randomized trials (CRTs) are commonly used to evaluate educational interventions, particularly their effectiveness. Recently there has been greater emphasis on using these trials to explore cost-effectiveness. However, methods for establishing the power of cluster randomized cost-effectiveness trials (CRCETs) are limited. This study…
Descriptors: Research Design, Statistical Analysis, Randomized Controlled Trials, Cost Effectiveness
Miratrix, Luke W.; Weiss, Michael J.; Henderson, Brit – Journal of Research on Educational Effectiveness, 2021
Researchers face many choices when conducting large-scale multisite individually randomized control trials. One of the most common quantities of interest in multisite RCTs is the overall average effect. Even this quantity is non-trivial to define and estimate. The researcher can target the average effect across individuals or sites. Furthermore,…
Descriptors: Computation, Randomized Controlled Trials, Error of Measurement, Regression (Statistics)
Kelcey, Ben; Spybrook, Jessaca; Dong, Nianbo; Bai, Fangxing – Journal of Research on Educational Effectiveness, 2020
Professional development for teachers is regarded as one of the principal pathways through which we can understand and cultivate effective teaching and improve student outcomes. A critical component of studies that seek to improve teaching through professional development is the detailed assessment of the intermediate teacher development processes…
Descriptors: Faculty Development, Educational Research, Randomized Controlled Trials, Research Design
Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Jayanthi, Madhavi; Dimino, Joseph; Gersten, Russell; Taylor, Mary Jo; Haymond, Kelly; Smolkowski, Keith; Newman-Gonchar, Rebecca – Journal of Research on Educational Effectiveness, 2018
The purpose of this replication study was to examine the impact of the Teacher Study Group (TSG) professional development in vocabulary on first-grade teachers' knowledge of vocabulary instruction and observed teaching practice, and on students' vocabulary knowledge. Sixty-two schools from 16 districts in four states were randomly assigned to…
Descriptors: Vocabulary Development, Teaching Methods, Faculty Development, Grade 1
Rhoads, Christopher – Journal of Research on Educational Effectiveness, 2016
Experimental evaluations that involve the educational system usually involve a hierarchical structure (students are nested within classrooms that are nested within schools, etc.). Concerns about contamination, where research subjects receive certain features of an intervention intended for subjects in a different experimental group, have often led…
Descriptors: Educational Experiments, Error of Measurement, Research Design, Statistical Analysis
Long, Mark C. – Journal of Research on Educational Effectiveness, 2016
Using a "naïve" specification, this paper estimates the relationship between 36 high school characteristics and 24 student outcomes controlling for students' pre-high school characteristics. The goal of this exploration is not to generate casual estimates, but rather to: (a) compare the size of the relationships to determine which inputs…
Descriptors: Hypothesis Testing, Effect Size, High School Students, Student Characteristics
Aber, J. Lawrence; Torrente, Catalina; Starkey, Leighann; Johnston, Brian; Seidman, Edward; Halpin, Peter; Shivshanker, Anjuli; Weisenhorn, Nina; Annan, Jeannie; Wolf, Sharon – Journal of Research on Educational Effectiveness, 2017
This article examines the effects of one year of exposure to "Learning to Read in a Healing Classroom" (LRHC) on the reading and math skills of second- to fourth-grade children in the low-income and conflict-affected Democratic Republic of the Congo. LRHC consists of two primary components: teacher resource materials that infuse…
Descriptors: Grade 2, Grade 3, Grade 4, Elementary School Students
Vadasy, Patricia F.; Sanders, Elizabeth A.; Logan Herrera, Becky – Journal of Research on Educational Effectiveness, 2015
A multi-cohort cluster randomized trial was conducted to estimate effects of rich vocabulary classroom instruction on vocabulary and reading comprehension. A total of 1,232 fourth- and fifth-grade students from 61 classrooms in 24 schools completed the study. Students received instruction in 140 Tier Two vocabulary words featured in two…
Descriptors: Vocabulary Development, Grade 4, Grade 5, Elementary School Students
Raudenbush, Stephen W.; Reardon, Sean F.; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
Multisite trials can clarify the average impact of a new program and the heterogeneity of impacts across sites. Unfortunately, in many applications, compliance with treatment assignment is imperfect. For these applications, we propose an instrumental variable (IV) model with person-specific and site-specific random coefficients. Site-specific IV…
Descriptors: Program Evaluation, Statistical Analysis, Hierarchical Linear Modeling, Computation