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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Wang, Junfeng; Keusters, Willem R.; Wen, Lingzi; Leeflang, Mariska M. G. – Research Synthesis Methods, 2021
Background: Individual patient data meta-analyses (IPD-MA) are regarded as the gold standard for systematic reviews, which also applies to systematic reviews of diagnostic test accuracy (DTA) studies. An increasing number of DTA systematic reviews with IPD-MA have been published in recent years, but there is much variation in how these IPD-MA were…
Descriptors: Diagnostic Tests, Accuracy, Patients, Meta Analysis
Bramley, Paul; López-López, José A.; Higgins, Julian P. T. – Research Synthesis Methods, 2021
Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…
Descriptors: Meta Analysis, Bias, Research Problems, Computation
Wang, Wei-Jhih; Devine, Beth; Bansal, Aasthaa; White, H. Steve; Basu, Anirban – Research Synthesis Methods, 2021
Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed…
Descriptors: Meta Analysis, Data, Statistical Distributions, Computation
van 't Hof, Maarten; Tisseur, Chanel; van Berckelear-Onnes, Ina; van Nieuwenhuyzen, Annemyn; Daniels, Amy M.; Deen, Mathijs; Hoek, Hans W.; Ester, Wietske A. – Autism: The International Journal of Research and Practice, 2021
Between 1990 and 2012, the global mean age at diagnosis of autism spectrum disorder ranged from 38 to 120 months. Measures have since been introduced to reduce the age at autism spectrum disorder diagnosis, but the current global mean age is unknown. This review and meta-analysis report the average age at diagnosis from studies published between…
Descriptors: Age, Autism, Pervasive Developmental Disorders, Clinical Diagnosis
A Meta-Analytic Review of Experimental Tests of the Interrogation Technique of Hanns Joachim Scharff
Luke, Timothy J. – Applied Cognitive Psychology, 2021
Hanns Scharff, an interrogator during the Second World War, was known for his remarkable effectiveness at collecting intelligence from prisoners of war using a friendly, conversational approach in which he led the prisoners to unknowingly reveal the information he wanted. In the last decade, psychologists have produced a body of experimental…
Descriptors: Data Collection, Questioning Techniques, Interpersonal Communication, Meta Analysis
Yildiz, Ezgi Pelin – African Educational Research Journal, 2021
The aim of this research is to examine articles and thesis studies in the field of authentic learning approaches and applications in education in the last 10 years and to reveal the trends in this context. In the methodology part of the research, meta-analysis method was used. Meta-analysis studies refers to the critical review and integration of…
Descriptors: Bibliometrics, Authentic Learning, Meta Analysis, Educational Trends
Weissgerber, Sophia C.; Brunmair, Matthias; Rummer, Ralf – Educational Psychology Review, 2021
In the 2018 meta-analysis of "Educational Psychology Review" entitled "Null effects of perceptual disfluency on learning outcomes in a text-based educational context" by Xie, Zhou, and Liu, we identify some errors and inconsistencies in both the methodological approach and the reported results regarding coding and effect sizes.…
Descriptors: Meta Analysis, Research Problems, Research Methodology, Coding
Natesan Batley, Prathiba; Shukla Mehta, Smita; Hitchcock, John H. – Behavioral Disorders, 2021
Single case experimental design (SCED) is an indispensable methodology when evaluating intervention efficacy. Despite long-standing success with using visual analyses to evaluate SCED data, this method has limited utility for conducting meta-analyses. This is critical because meta-analyses should drive practice and policy in behavioral disorders…
Descriptors: Bayesian Statistics, Research Design, Effect Size, Meta Analysis
Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
Siegel, Lianne; Murad, M. Hassan; Chu, Haitao – Research Synthesis Methods, 2021
Often clinicians are interested in determining whether a subject's measurement falls within a normal range, defined as a range of values of a continuous outcome which contains some proportion (eg, 95%) of measurements from a healthy population. Several studies in the biomedical field have estimated reference ranges based on a meta-analysis of…
Descriptors: Meta Analysis, Medical Research, Biomedicine, Bayesian Statistics
Rrita Zejnullahi – Society for Research on Educational Effectiveness, 2021
Background: Meta-analysis is considered to be the gold standard for evidence synthesis. It involves combining data from multiple independent sources to produce a summary estimate with improved precision. Traditionally, meta-analysis methods have been applied to a large collection of studies, and past research efforts have indicated its numerous…
Descriptors: Meta Analysis, Randomized Controlled Trials, Sample Size, Best Practices
Hossein Bozorgian; Esmat Shamsi – International Journal of Listening, 2025
Metacognitive instruction supports L2 listening learners to enhance their listening comprehension skill. To date, some review studies have investigated this topic; however, none of them has reported quantitative and qualitative findings in the form of a systematic literature review. This research addresses this gap by collecting, analyzing, and…
Descriptors: Metacognition, Listening Comprehension, Problem Solving, Databases
Hennessy, Emily A.; Johnson, Blair T. – Research Synthesis Methods, 2020
Overlap in meta-reviews results from the use of multiple identical primary studies in similar reviews. It is an important area for research synthesists because overlap indicates the degree to which reviews address the same or different literatures of primary research. Current guidelines to address overlap suggest that assessing and documenting the…
Descriptors: Meta Analysis, Research Methodology, Best Practices, Research Problems
Çalik, Muammer; Ultay, Neslihan; Bag, Hasan; Ayas, Alipasa – Chemistry Education Research and Practice, 2023
Through a meta-analysis, this study examines how effective particulate nature of matter (PNM)-based intervention studies are at improving academic performance. Well-known databases (e.g., ERIC, Springer Link, Taylor & Francis, and ScienceDirect) were used to look for the PNM-based intervention studies via specific keyword patterns. Also, a…
Descriptors: Science Achievement, Meta Analysis, Intervention, Databases