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Direct linkDeclercq, Lies; Jamshidi, Laleh; Fernández-Castilla, Belen; Moeyaert, Mariola; Natasha, Beretvas S.; Ferron, John M.; Van den Noortgate, Wim – Grantee Submission, 2020
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…
Descriptors: Research Design, Data Analysis, Effect Size, Models
Moeyaert, Mariola; Akhmedjanova, Diana; Ferron, John; Beretvas, S. Natasha; Van den Noortgate, Wim – Grantee Submission, 2020
The methodology of single-case experimental designs (SCED) has been expanding its efforts toward rigorous design tactics to address a variety of research questions related to intervention effectiveness. Effect size indicators appropriate to quantify the magnitude and the direction of interventions have been recommended and intensively studied for…
Descriptors: Effect Size, Research Methodology, Research Design, Hierarchical Linear Modeling
Jamshidi, Laleh; Heyvaert, Mieke; Van den Noortgate, Wim – AERA Online Paper Repository, 2017
Based on the increasing interest in systematic reviews and meta-analyses of Single-Subject Experimental Designs (SSEDs), the aim of the present review is to determine the general characteristics of these meta-analyses, including design characteristics of the primary studies and the meta-analyses, the kind of data, and the kind of analysis. After a…
Descriptors: Research Design, Experiments, Effect Size, Meta Analysis
Van den Noortgate, Wim; Moeyaert, Mariola; Ugille, Maaike; Beretvas, Tasha; Ferron, John – Society for Research on Educational Effectiveness, 2014
Due to an increasing interest in the use of single-subject experimental designs (SSEDs), appropriate techniques are needed to analyze this type of data. The purpose of this paper proposal is to present four studies (Beretvas, Hembry, Van den Noortgate, & Ferron, 2013; Bunuan, Hembry & Beretvas, 2013; Moeyaert, Ugille, Ferron, Beretvas,…
Descriptors: Research Methodology, Simulation, Bias, Statistical Inference
Heyvaert, Mieke; Wendt, Oliver; Van den Noortgate, Wim; Onghena, Patrick – Journal of Special Education, 2015
Reporting standards and critical appraisal tools serve as beacons for researchers, reviewers, and research consumers. Parallel to existing guidelines for researchers to report and evaluate group-comparison studies, single-case experimental (SCE) researchers are in need of guidelines for reporting and evaluating SCE studies. A systematic search was…
Descriptors: Standards, Research Methodology, Comparative Analysis, Experiments
Sotos, Ana Elisa Castro; Vanhoof, Stijn; Van den Noortgate, Wim; Onghena, Patrick – Educational Research Review, 2007
A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…
Descriptors: Research Needs, Research Methodology, Statistical Inference, Statistics
