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Kelcey, Ben; Dong, Nianbo; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2017
The purpose of this study is to disseminate the results of recent advances in statistical power analyses with regard to multilevel mediation and its implementation in the PowerUp!-Mediator software. The authors first focus on the conceptual and statistical differences among common asymptotic, component-wise, and resampling-based tests of mediation…
Descriptors: Computer Software, Research Design, Statistical Analysis, Hierarchical Linear Modeling
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Rhoads, Christopher – Society for Research on Educational Effectiveness, 2016
Current practice for conducting power analyses in hierarchical trials using survey based ICC and effect size estimates may be misestimating power because ICCs are not being adjusted to account for treatment effect heterogeneity. Results presented in Table 1 show that the necessary adjustments can be quite large or quite small. Furthermore, power…
Descriptors: Statistical Analysis, Correlation, Effect Size, Surveys
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Kelcey, Ben – Society for Research on Educational Effectiveness, 2015
Like studies focused on the detection of a main or total effect, a principal consideration in the design of studies examining mediation is the power with which mediation effects can be detected if they exist (e.g., Raudenbush, 1997). However, unlike studies concerning the detection of main effects, literature has not established power formulas for…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Effect Size, Mathematical Formulas
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Hedberg, E. C.; Hedges, L. V.; Kuyper, A. M. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are generally considered to provide the strongest basis for causal inferences about cause and effect. Consequently randomized field trials have been increasingly used to evaluate the effects of education interventions, products, and services. Populations of interest in education are often hierarchically structured (such as…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Correlation, Computation
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Miratrix, Luke; Feller, Avi; Pillai, Natesh; Pati, Debdeep – Society for Research on Educational Effectiveness, 2016
Modeling the distribution of site level effects is an important problem, but it is also an incredibly difficult one. Current methods rely on distributional assumptions in multilevel models for estimation. There it is hoped that the partial pooling of site level estimates with overall estimates, designed to take into account individual variation as…
Descriptors: Probability, Models, Statistical Distributions, Bayesian Statistics
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VanHoudnos, Nathan – Society for Research on Educational Effectiveness, 2016
Cluster randomized experiments are ubiquitous in modern education research. Although a variety of modeling approaches are used to analyze these data, perhaps the most common methodology is a normal mixed effects model where some effects, such as the treatment effect, are regarded as fixed, and others, such as the effect of group random assignment…
Descriptors: Effect Size, Randomized Controlled Trials, Educational Experiments, Educational Research
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Hedberg, E. C.; Hedges, Larry – Society for Research on Educational Effectiveness, 2017
The purpose of this paper is to showcase new research that seeks to provide guidance on the heterogeneity of treatment effects by utilizing the variance of demographic differences in state assessments. This study is focused on a simple randomized block design where students are nested within schools, and within each school students are randomized…
Descriptors: Databases, Randomized Controlled Trials, Educational Research, Research Design
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Westine, Carl D. – Society for Research on Educational Effectiveness, 2015
A cluster-randomized trial (CRT) relies on random assignment of intact clusters to treatment conditions, such as classrooms or schools (Raudenbush & Bryk, 2002). One specific type of CRT, a multi-site CRT (MSCRT), is commonly employed in educational research and evaluation studies (Spybrook & Raudenbush, 2009; Spybrook, 2014; Bloom,…
Descriptors: Correlation, Randomized Controlled Trials, Science Achievement, Cluster Grouping
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Westine, Carl; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2013
The capacity of the field to conduct power analyses for group randomized trials (GRTs) of educational interventions has improved over the past decade (Authors, 2009). However, a power analysis depends on estimates of design parameters. Hence it is critical to build the empirical base of design parameters for GRTs across a variety of outcomes and…
Descriptors: Randomized Controlled Trials, Research Design, Correlation, Program Effectiveness
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Mac Iver, Martha Abele; Mac Iver, Douglas J. – Society for Research on Educational Effectiveness, 2014
Attendance is probably the most fundamental behavioral indicator of student engagement with school. Though many students fall off-track to success for the first time in ninth grade, poor attendance patterns often begin increasing in middle school and become worse in high school. Missing school during the secondary grades can often be traced to low…
Descriptors: Attendance Patterns, Learner Engagement, Urban Schools, Middle School Students
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Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation