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Matthew Forte; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2024
Background/Context: Over the past twenty plus years, the What Works Clearinghouse (WWC) has reviewed over 1,700 studies, cataloging effect sizes for 189 interventions. Some 56% of these interventions include results from multiple, independent studies; on average, these include results of [approximately]3 studies, though some include as many as 32…
Descriptors: Meta Analysis, Sampling, Effect Size, Models
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Sánchez-Miguel P. A.; Álvarez-Sánchez J. L.; Hortigüela-Alcalá D.; Pérez-Pueyo A.; Tapia-Serrano M. A. – Quest, 2025
This study aimed to show a quantitative synthesis on the effect of the Teaching Personal and Social Responsibility Model (TPSR) on personal and social responsibility within physical education (PE) context. To achieve this, a systematic review and meta-analysis on experimental studies was developed. The initial search yielded 874 articles, with 6…
Descriptors: Physical Education, Social Responsibility, Effect Size, Models
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Hans-Peter Piepho; Laurence V. Madden; Emlyn R. Williams – Research Synthesis Methods, 2024
Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…
Descriptors: Meta Analysis, Models, Methods, Data Collection
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Hans-Peter Piepho; Johannes Forkman; Waqas Ahmed Malik – Research Synthesis Methods, 2024
Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…
Descriptors: Maximum Likelihood Statistics, Evidence, Networks, Meta Analysis
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Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
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Yasushi Tsujimoto; Yusuke Tsutsumi; Yuki Kataoka; Akihiro Shiroshita; Orestis Efthimiou; Toshi A. Furukawa – Research Synthesis Methods, 2024
Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…
Descriptors: Meta Analysis, Literature Reviews, Epidemiology, Error Correction
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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Jennifer L. Proper; Haitao Chu; Purvi Prajapati; Michael D. Sonksen; Thomas A. Murray – Research Synthesis Methods, 2024
Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…
Descriptors: Network Analysis, Meta Analysis, Prediction, Drug Therapy
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Hansol Lee; Jang Ho Lee – Review of Educational Research, 2024
This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…
Descriptors: Second Language Learning, Reading, Decoding (Reading), Reading Comprehension
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Fatma Seyma Koç; Perihan Savas – TESL-EJ, 2024
This meta-synthesis reviewed and synthesized the findings of 53 studies on supervisory post-conferences and feedback with a total of 807 participants published between 2004-2023. The aim of this meta-synthesis was to illustrate the trends in the reviewed studies and synthesize the results of the studies on supervisory discourse and models of…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
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Pablo Saiz-González; Damián Iglesias; Javier Fernandez-Rio – Quest, 2024
The Self-Determination Theory argues that individuals are optimally motivated when their three Basic Psychological Needs (BPNs) are satisfied, which can be influenced by the learning environment created by the teachers. Student-centered frameworks are permeating worldwide. Thus, the study aimed to evaluate the effects of pedagogical models-based…
Descriptors: Teaching Methods, Physical Education, Psychological Patterns, Student Centered Learning
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Laura María García Carrizosa; Kristof De Witte – Cambridge Journal of Education, 2024
Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…
Descriptors: Teacher Attendance, Models, Predictor Variables, Teacher Shortage