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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
Man Chen; James E. Pustejovksy; David A. Klingbeil; Ethan R. Van Norman – Grantee Submission, 2023
Single-case designs (SCDs) are a class of research methods for evaluating the effects of academic and behavioral interventions in educational and clinical settings. Although visual analysis is typically the first and main method for primary analysis of data from SCDs, quantitative methods are useful for synthesizing results and drawing systematic…
Descriptors: Effect Size, Meta Analysis, Intervention, Data Collection
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Johnmarshall Reeve; Geetanjali Basarkod; Hye-Ryen Jang; Rafael Gargurevich; Hyungshim Jang; Sung Hyeon Cheon – Educational Psychology Review, 2025
Students involve themselves in learning activities multidimensionally, including behaviorally, cognitively, emotionally, and agentically. This multidimensional involvement predicts important outcomes, but it is also possible that each type of engagement might have its own specialized purpose or function. To investigate this possibility, we…
Descriptors: Meta Analysis, Learner Engagement, Academic Achievement, Social Support Groups
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Daniel González-Devesa; José Carlos Diz-Gómez; Miguel Adriano Sanchez-Lastra; Aroa Otero Rodríguez; Carlos Ayán-Pérez – Measurement in Physical Education and Exercise Science, 2025
The aim of this study is to examine the available scientific evidence on the reliability and criterion validity of 6-minute run walk field-based test when administered to children and adolescents. Systematic searches were performed in three electronic databases (MEDLINE/PubMed, SPORTDiscuss and Scopus) from their inception until February 2024,…
Descriptors: Child Health, Health Related Fitness, Literature Reviews, Meta Analysis
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Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
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Xiangyu Li; Boby Ho-Hong Ching; Lihua Tan; Xiaofei Li; Jiajia Li; Tiffany Ting Chen – Educational Psychology Review, 2025
Substantial research has explored the connection between children's spontaneous focusing on numerosity (SFON) and their current and later mathematical achievement. However, the findings have been inconsistent, and no comprehensive investigation has yet been conducted. This meta-analysis examines the relation between SFON and mathematics…
Descriptors: Numeracy, Mathematics Skills, Meta Analysis, Mathematics Achievement
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Jacob S. Gray; Kelly A. Powell-Smith – Annals of Dyslexia, 2025
Rapid automatized naming (RAN) has surged in popularity recently as an important indicator of reading difficulties, including dyslexia. Despite an extensive history of research on RAN, including recent meta-analyses indicating a unique contribution of RAN to reading above and beyond phonemic awareness, questions remain regarding RAN's relationship…
Descriptors: Reading Rate, Naming, Scores, Reading Difficulties
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Jelena N. Larsen; Kine M. D. Maxwell; Mohammad Khalil – Journal of Learning Analytics, 2025
Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research…
Descriptors: Literature Reviews, Learning Analytics, Instructional Design, Student Motivation
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