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Showing 1 to 15 of 131 results Save | Export
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Henry H. Zink; Ethan R. Van Norman; David A. Klingbeil – Psychology in the Schools, 2024
Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…
Descriptors: Research Design, Case Studies, Effect Size, Academic Ability
Joshua B. Gilbert; James Soland – Annenberg Institute for School Reform at Brown University, 2024
Differences in effect sizes between researcher developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-analysis using item-level outcome data to test potential mechanisms that explain differences in effects by RD or ID outcome type. Our analysis of 45…
Descriptors: Effect Size, Research Design, Research Methodology, Meta Analysis
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Henry H. Zink; Ethan R. Van Norman; David A. Klingbeil – Grantee Submission, 2023
Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…
Descriptors: Research Design, Case Studies, Effect Size, Academic Ability
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Ling Zhang; Gabriel J. Stylianides; Andreas J. Stylianides – International Journal of STEM Education, 2024
Mathematical problem posing, generally defined as the process of interpreting given situations and formulating meaningful mathematical problems, is academically important, and thus several interventions have been used to enhance this competence among students and teachers. Yet little is known about the interventions' various components and their…
Descriptors: Mathematics Skills, Problem Solving, Competence, Meta Analysis
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Ha, Cheyeon – International Journal of Research & Method in Education, 2023
This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…
Descriptors: Comparative Analysis, Network Analysis, Meta Analysis, Intervention
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Natesan Batley, Prathiba; Shukla Mehta, Smita; Hitchcock, John H. – Behavioral Disorders, 2021
Single case experimental design (SCED) is an indispensable methodology when evaluating intervention efficacy. Despite long-standing success with using visual analyses to evaluate SCED data, this method has limited utility for conducting meta-analyses. This is critical because meta-analyses should drive practice and policy in behavioral disorders…
Descriptors: Bayesian Statistics, Research Design, Effect Size, Meta Analysis
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Prathiba Natesan Batley; Erica B. McClure; Brandy Brewer; Ateka A. Contractor; Nicholas John Batley; Larry Vernon Hedges; Stephanie Chin – Grantee Submission, 2023
N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…
Descriptors: Medical Research, Research Design, Data Analysis, Effect Size
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Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2021
Previous research found bias in the estimate of the overall fixed effects and variance components using multilevel meta-analyses of standardized single-case data. Therefore, we evaluate two adjustments in an attempt to reduce the bias and improve the statistical properties of the parameter estimates. The results confirm the existence of bias when…
Descriptors: Statistical Bias, Multivariate Analysis, Meta Analysis, Research Design
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Kun Yan; Li Wei; Kaiming Bu; Jiahui Zhang – Asia-Pacific Education Researcher, 2024
Although most gifted education programs have included undergraduate research (UGR) in their training plans, scholars have not reached a consensus on UGR's effectiveness, especially for gifted college students. With a sample of 7460 students from 15 studies conducted worldwide during 1985-2022, this study explores the relationship between research…
Descriptors: College Students, Academically Gifted, Student Research, Academic Achievement
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Maxfield, Trevor; Park, Eun-Young; Blair, Kwang-Sun Cho – Journal of Behavioral Education, 2023
This study synthesized 14 published and unpublished group design and single-case design studies on bullying interventions for individuals with disabilities. The specific objectives were to examine the general characteristics and design qualities of the studies, quantify the magnitude of the intervention effects, and identify potential moderating…
Descriptors: Bullying, Intervention, Victims, Disabilities
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Boers, Frank; Bryfonski, Lara; Faez, Farahnaz; McKay, Todd – Studies in Second Language Acquisition, 2021
Meta-analytic reviews collect available empirical studies on a specified domain and calculate the average effect of a factor. Educators as well as researchers exploring a new domain of inquiry may rely on the conclusions from meta-analytic reviews rather than reading multiple primary studies. This article calls for caution in this regard because…
Descriptors: Meta Analysis, Literature Reviews, Effect Size, Computation
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
Declercq, 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; Yang, Panpan – Grantee Submission, 2021
This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Case Studies
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Rickard, Timothy C.; Pan, Steven C.; Gupta, Mohan W. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
We explored the possibility of publication bias in the sleep and explicit motor sequence learning literature by applying precision effect test (PET) and precision effect test with standard errors (PEESE) weighted regression analyses to the 88 effect sizes from a recent comprehensive literature review (Pan & Rickard, 2015). Basic PET analysis…
Descriptors: Publications, Bias, Sleep, Psychomotor Skills
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