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Fangxing Bai; Ben Kelcey; Yanli Xie; Kyle Cox – Journal of Experimental Education, 2025
Prior research has suggested that clustered regression discontinuity designs are a formidable alternative to cluster randomized designs because they provide targeted treatment assignment while maintaining a high-quality basis for inferences on local treatment effects. However, methods for the design and analysis of clustered regression…
Descriptors: Regression (Statistics), Statistical Analysis, Research Design, Educational Research
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Milica Miocevic; Fayette Klaassen; Mariola Moeyaert; Gemma G. M. Geuke – Journal of Experimental Education, 2025
Mediation analysis in Single Case Experimental Designs (SCEDs) evaluates intervention mechanisms for individuals. Despite recent methodological developments, no clear guidelines exist for maximizing power to detect the indirect effect in SCEDs. This study compares frequentist and Bayesian methods, determining (1) minimum required sample size to…
Descriptors: Research Design, Mediation Theory, Statistical Analysis, Simulation
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Zuchao Shen; Walter Leite; Huibin Zhang; Jia Quan; Huan Kuang – Journal of Experimental Education, 2025
When designing cluster-randomized trials (CRTs), one important consideration is determining the proper sample sizes across levels and treatment conditions to cost-efficiently achieve adequate statistical power. This consideration is usually addressed in an optimal design framework by leveraging the cost structures of sampling and optimizing the…
Descriptors: Randomized Controlled Trials, Feasibility Studies, Research Design, Sample Size
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David Broska; Michael Howes; Austin van Loon – Sociological Methods & Research, 2025
Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…
Descriptors: Artificial Intelligence, Observation, Prediction, Correlation
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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
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Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
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Jasmeen Kaur; Michael P. Kranak; Daniel R. Mitteer; Isaac J. Melanson; Tara A. Fahmie – Journal of Applied Behavior Analysis, 2025
We conducted a scoping review on the consecutive controlled case series (CCCS) methodology (Hagopian, 2020). The CCCS is an approach to studying functional relations across a series of consecutive cases that share common features. We identified and reviewed 76 studies that used CCCS methodology. Most of these (a) were retrospective CCCS studies…
Descriptors: Research Methodology, Case Studies, Research Design, Children
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Duane Knudson – Measurement in Physical Education and Exercise Science, 2025
Small sample sizes contribute to several problems in research and knowledge advancement. This conceptual replication study confirmed and extended the inflation of type II errors and confidence intervals in correlation analyses of small sample sizes common in kinesiology/exercise science. Current population data (N = 18, 230, & 464) on four…
Descriptors: Kinesiology, Exercise, Biomechanics, Movement Education
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Rebeca Soler-Costa; Pablo Lafarga-Ostariz; Cristóbal Ballesteros-Regaña; Pedro C. Mellado-Moreno – Educational Process: International Journal, 2025
Background/purpose: The authors of this research present a study on Fake News and the communication processes that are generated in different educational and professional contexts through a systematic review. Materials/methods: This is descriptive research that analyses 139 results present in Web of Science and SCOPUS, using the criteria…
Descriptors: Deception, Misinformation, Databases, Educational Policy
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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