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Purwoko Haryadi Santoso; Bayu Setiaji; Wahyudi; Johan Syahbrudin; Syamsul Bahri; Fathurrahman; A. Suci Rizky Ananda; Yusuf Sodhiqin – Physical Review Physics Education Research, 2024
The Force Concept Inventory (FCI) is one of the research-based assessments established by the physics education research community to measure students' understanding of Newtonian mechanics. Former works have often recorded the notion of gendered mean FCI scores favoring male students notably in the North American (NA) based studies. Nevertheless,…
Descriptors: Gender Differences, Physics, Science Instruction, Science Tests
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Khalid Arar; Deniz Örücü; Sedat Gümüs – Educational Review, 2024
Given the growing concerns regarding the education of the rapidly increasing refugee children population around the world and the scholarly attention towards refugee education contexts in educational leadership and policy fields in recent years, we were urged to locate and understand the research contribution to the relevant knowledge base. This…
Descriptors: Instructional Leadership, Educational Policy, Refugees, Elementary Secondary Education
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Micaela Sánchez-Martín; Marta Gutiérrez-Sánchez; Eva María Olmedo-Moreno; Fernando Navarro-Mateu – Cogent Education, 2024
Introduction: Concerns about the risk of bias (RoB) of Meta-analysis (MAs) have grown in parallel with the exponential increase in the number of publications in science. However, this has not been properly assessed in Education. The aims were to evaluate the RoB of MAs in Education and to identify potential predictors of a lower RoB. Methods:…
Descriptors: Literature Reviews, Meta Analysis, Bias, Research Problems
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Maya B. Mathur – Research Synthesis Methods, 2024
As traditionally conceived, publication bias arises from selection operating on a collection of individually unbiased estimates. A canonical form of such selection across studies (SAS) is the preferential publication of affirmative studies (i.e., those with significant, positive estimates) versus nonaffirmative studies (i.e., those with…
Descriptors: Meta Analysis, Research Reports, Research Methodology, Research Problems
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Micheal Sandbank; Kristen Bottema-Beutel; Ya-Cing Syu; Nicolette Caldwell; Jacob I. Feldman; Tiffany Woynaroski – Autism: The International Journal of Research and Practice, 2024
We conducted a multi-pronged investigation of different types of reporting bias in autism early childhood intervention research. First, we investigated the prevalence of reporting failures of completed trials registered on clinicaltrials.gov, and found that only 7% of registered trials were updated with results on the registration platform and…
Descriptors: Literature Reviews, Meta Analysis, Autism Spectrum Disorders, Children
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Brown, Charles L. – Assessment Update, 2023
With increasing canonicity, particularly within higher education assessment, the demonstrable achievement of goals, or the delivery of a program, or as one scholar wryly deemed it, the "manipulation of the independent variable" (Moncher and Prinz 1991, p. 247), are commonly referred to as implementation fidelity or fidelity of…
Descriptors: Fidelity, Meta Analysis, Student Evaluation, Higher Education
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Williams, Zachary J.; Suzman, Evan; Bordman, Samantha L.; Markfeld, Jennifer E.; Kaiser, Sophia M.; Dunham, Kacie A.; Zoltowski, Alisa R.; Failla, Michelle D.; Cascio, Carissa J.; Woynaroski, Tiffany G. – Journal of Autism and Developmental Disorders, 2023
Interoception, the body's perception of its own internal states, is thought to be altered in autism, though results of empirical studies have been inconsistent. The current study systematically reviewed and meta-analyzed the extant literature comparing interoceptive outcomes between autistic (AUT) and neurotypical (NT) individuals, determining…
Descriptors: Autism Spectrum Disorders, Sensory Experience, Bayesian Statistics, Meta Analysis
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de Jong, Valentijn M. T.; Campbell, Harlan; Maxwell, Lauren; Jaenisch, Thomas; Gustafson, Paul; Debray, Thomas P. A. – Research Synthesis Methods, 2023
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random. We aimed to develop statistical methods that facilitate…
Descriptors: Classification, Meta Analysis, Bayesian Statistics, Evaluation Methods
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Shu, Di; Li, Xiaojuan; Her, Qoua; Wong, Jenna; Li, Dongdong; Wang, Rui; Toh, Sengwee – Research Synthesis Methods, 2023
Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estimation of the average causal effect (ACE) of a target population comprised of all individuals from all…
Descriptors: Meta Analysis, Outcomes of Treatment, Privacy, Attribution Theory
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Carpenter, Katie L.; Williams, David M. – Autism: The International Journal of Research and Practice, 2023
Metacognition refers to cognitions about our own cognitions. In recent years, there has been a concerted effort to examine metacognition among autistic people. The results from these studies have produced a mixed picture, with some concluding that autistic people are just as accurate as typically developing people in judging their own cognitions…
Descriptors: Meta Analysis, Criticism, Metacognition, Accuracy
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Jiang, Ziren; Cao, Wenhao; Chu, Haitao; Bazerbachi, Fateh; Siegel, Lianne – Research Synthesis Methods, 2023
A reference interval, or an interval in which a prespecified proportion of measurements from a healthy population are expected to fall, is used to determine whether a person's measurement is typical of a healthy individual. For a specific biomarker, multiple published studies may provide data collected from healthy participants. A reference…
Descriptors: Intervals, Computation, Meta Analysis, Measurement
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Clinton-Lisell, Virginia; Seipel, Ben; Gilpin, Staci; Litzinger, Christine – Interactive Learning Environments, 2023
E-texts afford interactive features that are not feasible with paper texts. Several studies have been conducted examining interactive features of E-texts, but it is uncertain what the overall effect is or what features may be most useful. The purpose of this study is to systematically review and meta-analysis of the findings comparing reading…
Descriptors: Electronic Publishing, Interaction, Literature Reviews, Meta Analysis
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Jansen, Katrin; Holling, Heinz – Research Synthesis Methods, 2023
In meta-analyses of rare events, it can be challenging to obtain a reliable estimate of the pooled effect, in particular when the meta-analysis is based on a small number of studies. Recent simulation studies have shown that the beta-binomial model is a promising candidate in this situation, but have thus far only investigated its performance in a…
Descriptors: Bayesian Statistics, Meta Analysis, Probability, Simulation
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Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
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Dorothy J. M. Thompson; Katie Boyd; Stuart A. Miller – Assessment Update, 2024
Auburn University engaged in the reaffirmation process with SACSCOC (institutional accreditor) and received recommendations surrounding assessment practices. It was from these recommendations that the Office of Academic Assessment (OAA) was created in July 2015, providing dedicated assessment support to faculty responsible for educational…
Descriptors: Educational Assessment, Universities, Accreditation (Institutions), Evaluation Methods
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