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Burgard, Tanja; Bosnjak, Michael; Studtrucker, Robert – Research Synthesis Methods, 2022
To enable optimal decision-making based on the best evidence available, open syntheses are called for. To make data accessible and comprehensible even for decision-makers without proficient knowledge in meta-analysis, a graphical user interface (GUI) provides flexible data visualizations including interpretation aids. Moreover, due to a growing…
Descriptors: Psychological Studies, Meta Analysis, Synthesis, Metadata
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
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
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
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
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
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
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
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
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
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
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
Sarah Cusworth Walker; Lawrence Wissow; Noah R. Gubner; Sally Ngo; Peter Szatmari; Chiara Servili – Administration and Policy in Mental Health and Mental Health Services Research, 2024
Numerous influential policy and scientific bodies are calling for more rapid advances in the scale-up of child and youth mental health services (CYMHS). A number of CYMHS innovations hold promise for advancing scale-up but little is known about how real-world efforts are progressing. We conducted a scoping review to identify promising approaches…
Descriptors: Mental Health Programs, Youth Programs, Foreign Countries, Program Implementation
Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis