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Huibin Zhang; Zuchao Shen; Walter L. Leite – Journal of Experimental Education, 2025
Cluster-randomized trials have been widely used to evaluate the treatment effects of interventions on student outcomes. When interventions are implemented by teachers, researchers need to account for the nested structure in schools (i.e., students are nested within teachers nested within schools). Schools usually have a very limited number of…
Descriptors: Sample Size, Multivariate Analysis, Randomized Controlled Trials, Correlation
Willett, Ciara Louise – ProQuest LLC, 2023
Understanding when it is appropriate to make causal inferences from a statistical result is a fundamental skill for science literacy. Prior research has concentrated on erroneous causal judgments about observational studies, but there is little research on whether people understand that experiments provide stronger justification for causal claims.…
Descriptors: Research Design, Undergraduate Students, Intervention, Correlation
Pragya Shrestha – ProQuest LLC, 2023
In Single-Case Designs (SCD), the outcome variable most commonly involves some form of count data. However, statistical analyses and associated effect size (ES) calculations for count outcomes have only recently been proposed. Three recently proposed ES methods for count data are: Nonlinear Bayesian effect size (Rindskopf, 2014), Log Response…
Descriptors: Research Design, Effect Size, Case Studies, Data Collection
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Raykov, Tenko; DiStefano, Christine – Educational and Psychological Measurement, 2022
A latent variable modeling-based procedure is discussed that permits to readily point and interval estimate the design effect index in multilevel settings using widely circulated software. The method provides useful information about the relationship of important parameter standard errors when accounting for clustering effects relative to…
Descriptors: Hierarchical Linear Modeling, Correlation, Evaluation, Research Design
Larry V. Hedges; William R. Shadish; Prathiba Natesan Batley – Grantee Submission, 2022
Currently the design standards for single case experimental designs (SCEDs) are based on validity considerations as prescribed by the What Works Clearinghouse. However, there is a need for design considerations such as power based on statistical analyses. We compute and derive power using computations for (AB)[superscript k] designs with multiple…
Descriptors: Statistical Analysis, Research Design, Computation, Case Studies
Joy Tatum Shideler – ProQuest LLC, 2022
This study utilizes a correlational research design to identify the relationship, if any, between institutional and external support of research and development (R&D) at an R1 University Carnegie Classification of Institutions of Higher Education R1: Very High Research Activity Doctoral University in the southeastern United States of America.…
Descriptors: Research and Development, Correlation, Research Design, Research Universities
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van Dorresteijn, Chevy; Kan, Kees-Jan; Smits, Niels – Assessment & Evaluation in Higher Education, 2023
When higher education students are assessed multiple times, teachers need to consider how these assessments can be combined into a single pass or fail decision. A common question that arises is whether students should be allowed to take a resit. Previous research has found little to no clear learning benefits of resits and therefore suggested they…
Descriptors: College Students, Student Evaluation, Pretests Posttests, Regression (Statistics)
Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
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Cong Liu; Mohd Nazri Abdul Rahman; Afdal Afdal; Muhammad Asyraf Mansor – Early Child Development and Care, 2024
Preschoolers' prosocial behaviours support healthy interpersonal relationships as a component of their social adjustment process. Although several studies have found links between parental marital characteristics and preschoolers' prosocial behaviours, these conclusions were divisive. Therefore, a meta-analysis was conducted to clarify the…
Descriptors: Prosocial Behavior, Child Behavior, Marital Instability, Effect Size
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Landolt, Patricia; Goldring, Luin; Pritchard, Paul – International Journal of Social Research Methodology, 2022
We examine how the politics of knowledge production limit research on the relationship between immigration status and social inequality. We centre the practices of methodological nationalism in Canada, a traditional country of permanent immigration in which temporary migration has become a core feature of the immigration system. In this case,…
Descriptors: Nationalism, Correlation, Immigration, Social Differences
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Chan, Wendy; Hedges, Larry V.; Hedberg, E. C. – Journal of Experimental Education, 2022
Many experimental designs in educational and behavioral research involve at least one level of clustering. Clustering affects the precision of estimators and its impact on statistics in cross-sectional studies is well known. Clustering also occurs in longitudinal designs where students that are initially grouped may be regrouped in the following…
Descriptors: Educational Research, Multivariate Analysis, Longitudinal Studies, Effect Size
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Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
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Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
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Katerina Ciháková – Journal of Baltic Science Education, 2024
Scientific literacy is decreasing in the Czech Republic and inquiry-based science education (IBSE), believed to enhance it, is used rarely. Meanwhile, outdoor teaching is on the rise, but it is unclear if it could help promote inquiry. This study examines the frequencies of outdoor teaching and IBSE and their relationship in self-reported practice…
Descriptors: Outdoor Education, Electronic Learning, Educational Resources, Foreign Countries
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