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Benjamin Kelcey

Researcher at University of Cincinnati

Publications -  29
Citations -  599

Benjamin Kelcey is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Reading comprehension & Randomized controlled trial. The author has an hindex of 8, co-authored 29 publications receiving 377 citations.

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What Would It Take to Change an Inference? Using Rubin’s Causal Model to Interpret the Robustness of Causal Inferences

TL;DR: This work utilizes Rubin’s causal model to interpret the bias necessary to invalidate an inference in terms of sample replacement, and applies it to an inference of a positive effect of Open Court Curriculum on reading achievement from a randomized experiment.
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What Can Student Perception Surveys Tell Us About Teaching? Empirically Testing the Underlying Structure of the Tripod Student Perception Survey:

TL;DR: This article conducted a theory-based analysis of the underlying structure of the Tripod student perception survey instrument using the Measures of Effective Teaching (MET) database (N = 1,049 middle school...
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Progress in the past decade: an examination of the precision of cluster randomized trials funded by the U.S. Institute of Education Sciences

TL;DR: The authors examined the statistical precision of cluster randomized trials (CRTs) funded by the Institute of Education Sciences (IES) and found that the average precision in terms of MDES of studies in the recent cohort was more than double that of the early cohort (i.e. 0.48 compared to 0.23).
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Power Analyses for Moderator Effects in Three-Level Cluster Randomized Trials

TL;DR: This article developed formulas for power analyses to detect the moderator effects in designing three-level cluster randomized trials (CRTs) and developed the statistical formulas for calculating statistical power, minimum detectable effect size difference, and 95% confidence intervals for cluster or cross-level moderation, nonrandomly varying or random slopes, binary or continuous moderators, and designs with o...
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Power for Detecting Treatment by Moderator Effects in Two- and Three-Level Cluster Randomized Trials:

TL;DR: Recently, there has been an increase in the number of cluster randomized trials (CRTs) to evaluate the impact of educational programs and interventions as mentioned in this paper, and these studies are often powered for the main...