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Schmid, Matthias; Friede, Tim; Klein, Nadja; Weinhold, Leonie – Research Synthesis Methods, 2023
Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be validated on external data. In practice, validation is often hampered by logistical issues, resulting in multiple small-sized validation studies. It is therefore…
Descriptors: Probability, Meta Analysis, Time, Test Validity
Süreyya Yörük; Sedat Sen – Creativity Research Journal, 2023
The Creative Achievement Questionnaire (CAQ) is widely used to measure the creative achievement levels of individuals. Previous studies reported a varying range of reliability coefficients for the CAQ. To this date, no study has investigated the variability in the reliability coefficients of the CAQ. A random-effects reliability generalization…
Descriptors: Reliability, Generalization, Meta Analysis, Creativity
James Pustejovsky; Jingru Zhang; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2023
Background/Context: In meta-analyses examining educational interventions, researchers seek to understand the distribution of intervention impacts, in order to draw generalizations about what works, for whom, and under what conditions. One common way to examine equity implications in such reviews is through moderator analysis, which involves…
Descriptors: Meta Analysis, Effect Size, Statistics, Regression (Statistics)
David Pérez-Castejón; María Begoña Vigo-Arrazola – European Journal of Teacher Education, 2024
Changing attitudes and perceptions allied to the values of diversity and inclusive education is a recognised challenge in ITE (Initial Teacher Education). Using meta-ethnographic methods, this article aims to describe how preservice teachers' attitudes or perceptions towards inclusive education can be developed during ITE. The results show the…
Descriptors: Inclusion, Preservice Teachers, Teacher Attitudes, Meta Analysis
Peter J. Godolphin; Nadine Marlin; Chantelle Cornett; David J. Fisher; Jayne F. Tierney; Ian R. White; Ewelina Rogozinska – Research Synthesis Methods, 2024
Individual participant data (IPD) meta-analyses of randomised trials are considered a reliable way to assess participant-level treatment effect modifiers but may not make the best use of the available data. Traditionally, effect modifiers are explored one covariate at a time, which gives rise to the possibility that evidence of treatment-covariate…
Descriptors: Meta Analysis, Randomized Controlled Trials, Statistical Analysis, Participant Characteristics
Maya B. Mathur – Research Synthesis Methods, 2024
Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as publication bias. These biases often operate nonadditively: publication bias that favors significant, positive results selects indirectly for studies with more internal bias. We propose sensitivity analyses that address two…
Descriptors: Meta Analysis, Attribution Theory, Publications, Bias
Lu Qin; Shishun Zhao; Wenlai Guo; Tiejun Tong; Ke Yang – Research Synthesis Methods, 2024
The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…
Descriptors: Meta Analysis, Network Analysis, Bayesian Statistics, Comparative Analysis
Shan Zhang; Chris Palaguachi; Marcin Pitera; Chris Davis Jaldi; Noah L. Schroeder; Anthony F. Botelho; Jessica R. Gladstone – Educational Psychology Review, 2024
Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…
Descriptors: Bibliometrics, Meta Analysis, Research Methodology, Evaluation Methods
Letícia Oestreich; Álvaro Neuenfeldt Júnior; Alejandro Ruiz-Padillo – International Journal of Sustainability in Higher Education, 2024
Purpose: Unplanned urban mobility causes negative effects on the population and the environment. This study aims to understand how higher education institutions (HEIs) are managing the transportation issues related to their activities and how they are implementing actions towards more sustainable practices in this regard.…
Descriptors: Literature Reviews, Higher Education, Sustainability, Transportation
Sebastian Kocar; Lars Kaczmirek – International Journal of Social Research Methodology, 2024
This study is a meta-analysis of overall recruitment rate (ORR) in probability-based online panel research. In this study, we included 23 general population probability-based online panels (out of 28 identified and described) covering 15 countries and provided a comprehensive overview of their methodological approaches to recruitment. We…
Descriptors: Literature Reviews, Data Analysis, Meta Analysis, Recruitment
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
Fanxiao Wani Qiu; Joanna Park; Amanda Vite; Erika Patall; Henrike Moll – Developmental Science, 2025
Empirical studies on selective teaching and informing indicate that children may vary what they teach depending on whom they are teaching, taking into account how helpful the information is for a given audience. The current meta-analysis quantifies the effect of selective informing and teaching in 2-7-year-olds by examining the relationship…
Descriptors: Literature Reviews, Meta Analysis, Young Children, Peer Teaching
Vincent Natalis; Bernard Leyh – Chemistry Education Research and Practice, 2025
Entropy and the second law of thermodynamics have long been identified as difficult concepts to teach in the physical chemistry curriculum. Their highly abstract nature, mathematical complexity and emergent nature underscore the necessity to better link classical thermodynamics and statistical thermodynamics. The objectives of this systematic…
Descriptors: Teaching Methods, Science Instruction, Thermodynamics, Scientific Concepts
Vostanis, Athanasios; Thompson, Paul A.; Padden, Ciara; Rizos, Konstantinos; Langdon, Peter E. – Campbell Systematic Reviews, 2023
Precision Teaching is a behavior measurement system that emphasizes the development of behavioral repertoires and utilizes Standard Celeration Charts as its primary tool. This system has been applied across various areas, including mainstream and special education, and has successfully improved academic, motor, communication, and other skills.…
Descriptors: Precision Teaching, Instructional Effectiveness, Literature Reviews, Meta Analysis
Olaghere, Ajima; Wilson, David B.; Kimbrell, Catherine – Research Synthesis Methods, 2023
A diversity of approaches for critically appraising qualitative and quantitative evidence exist and emphasize different aspects. These approaches lack clear processes to facilitate rating the overall quality of the evidence for aggregated findings that combine qualitative and quantitative evidence. We draw on a meta-aggregation of implementation…
Descriptors: Evidence, Synthesis, Scoring Rubrics, Standardized Tests