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Papadimitropoulou, Katerina; Stijnen, Theo; Riley, Richard D.; Dekkers, Olaf M.; Cessie, Saskia – Research Synthesis Methods, 2020
Meta-analysis of individual participant data (IPD) is considered the "gold-standard" for synthesizing clinical study evidence. However, gaining access to IPD can be a laborious task (if possible at all) and in practice only summary (aggregate) data are commonly available. In this work we focus on meta-analytic approaches of comparative…
Descriptors: Meta Analysis, Correlation, Scores, Outcomes of Treatment
Song, Yue; Sun, Feng; Redline, Susan; Wang, Rui – Research Synthesis Methods, 2020
Meta-analyses of clinical trials typically focus on one outcome at a time. However, treatment decision-making depends on an overall assessment of outcomes balancing benefit in various domains and potential risks. This calls for meta-analysis methods for combined outcomes that encompass information from different domains. When individual patient…
Descriptors: Meta Analysis, Patients, Data, Outcomes of Treatment
Senior, Alistair M.; Viechtbauer, Wolfgang; Nakagawa, Shinichi – Research Synthesis Methods, 2020
Meta-analyses are often used to estimate the relative average values of a quantitative outcome in two groups (eg, control and experimental groups). However, they may also examine the relative variability (variance) of those groups. For such comparisons, two relatively new effect size statistics, the log-transformed "variability ratio"…
Descriptors: Meta Analysis, Effect Size, Research Design, Simulation
Shannonhouse, Laura; O'Hara, Caroline; Erford, Bradley – Measurement and Evaluation in Counseling and Development, 2020
This quantitative synthesis combines results of 72 studies that published psychometric information for the Multicultural Counseling Inventory. Although internal consistency, subsample means, and intrascale correlations provide promising evidence, convergent correlations with other instrumentation and factor analyses of validity continue to raise…
Descriptors: Psychometrics, Cultural Pluralism, Measures (Individuals), Correlation
Rios, Joseph A.; Ihlenfeldt, Samuel D.; Dosedel, Michael; Riegelman, Amy – Educational Measurement: Issues and Practice, 2020
This systematic review investigated the topics studied and reporting practices of published meta-analyses in educational measurement. Our findings indicated that meta-analysis is not a highly utilized methodological tool in educational measurement; on average, less than one meta-analysis has been published per year over the past 30 years (28…
Descriptors: Meta Analysis, Educational Assessment, Test Format, Testing Accommodations
Cope, Shannon; Chan, Keith; Jansen, Jeroen P. – Research Synthesis Methods, 2020
Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…
Descriptors: Multivariate Analysis, Meta Analysis, Network Analysis, Models
Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
Klimova, Blanka; Pikhart, Marcel; Benites, Alice Delorme; Lehr, Caroline; Sanchez-Stockhammer, Christina – Education and Information Technologies, 2023
Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Jongsma, Mirella V.; Scholten, Danny J.; van Muijlwijk-Koezen, Jacqueline E.; Meeter, Martijn – Journal of Educational Computing Research, 2023
In recent years, the technical possibilities of educational technologies regarding online peer feedback have developed rapidly. However, the impact of online peer feedback activities compared to traditional offline variants has not specifically been meta-analyzed. Therefore, the aim of the current meta-analysis is to do an in-depth comparison…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Technology Uses in Education
van Helden, Daphne L.; den Dulk, Laura; Steijn, Bram; Vernooij, Meike W. – Educational Management Administration & Leadership, 2023
This article systematically reviews 35 empirical articles on the topic of networks and career advancement into academic leadership positions. Our objectives in this systematic review are to clarify: (1) the functions that networks fulfil; (2) the outcomes of these functions in terms of career advancement; and (3) whether networks are likely to…
Descriptors: Gender Differences, Social Networks, Research Reports, Career Development
Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Nakamura, Pooja; Leyew, Zelealem; Molotsky, Adria; Ranjit, Varsha; Kamto, Kevin – Campbell Systematic Reviews, 2023
To address the evidence gap in making effective language of instruction (LOI) decisions, we propose a systematic review of the role of LOI choices in education programs and policies on literacy outcomes in multilingual educational contexts in low- and middle-income countries (LMICs). Grounded in a multidisciplinary theory of change (ToC)…
Descriptors: Second Language Learning, Second Language Instruction, Language of Instruction, Decision Making
Nurtaç Üstündag-Kocakusak; Ruken Akar-Vural – Online Submission, 2023
This study aimed to reveal general landscape of research on teacher resilience, employing descriptive and bibliometric analyses. Descriptive analyses were performed utilizing Web of Science's internal system, while bibliometric analyses were executed through the VOSviewer program. Web of Science Core Collection was used as a data source. Citation…
Descriptors: Bibliometrics, Meta Analysis, Educational Research, Teacher Behavior
Kim, Gospel Y. – ProQuest LLC, 2023
The topic of the three chapters of this dissertation is empowering caregivers of children with or at high likelihood for autism to implement interventions in home settings with high fidelity to promote their child's social communication development. Chapter 1 provides an overview of the previous studies focused on caregiver-implemented early…
Descriptors: At Risk Persons, Autism Spectrum Disorders, Meta Analysis, Infants

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