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Daly, Caitlin H.; Maconachie, Ross; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2022
Randomised controlled trials of cancer treatments typically report progression free survival (PFS) and overall survival (OS) outcomes. Existing methods to synthesise evidence on PFS and OS either rely on the proportional hazards assumption or make parametric assumptions which may not capture the diverse survival curve shapes across studies and…
Descriptors: Nonparametric Statistics, Randomized Controlled Trials, Evidence, Networks
Hansol Lee; Jang Ho Lee – Review of Educational Research, 2024
This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…
Descriptors: Second Language Learning, Reading, Decoding (Reading), Reading Comprehension
Kim, Soyeon; Kim, Hankyul; Park, Eun Hye; Kim, Boram; Lee, Sang Min; Kim, Boyoung – Psychology in the Schools, 2021
Fourteen empirical studies on academic burnout were synthesized and reviewed with a meta-analytic approach based on the framework of job demand, control, support model. It was found that demand, control, and support were associated with academic burnout. The three dimensions of burnout were negatively related to demand and positively related to…
Descriptors: Burnout, Meta Analysis, Student Attitudes, Academic Achievement
Laura María García Carrizosa; Kristof De Witte – Cambridge Journal of Education, 2024
Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…
Descriptors: Teacher Attendance, Models, Predictor Variables, Teacher Shortage
Wagner, Richard K.; Edwards, Ashley A.; Malkowski, Antje; Schatschneider, Chris; Joyner, Rachel E.; Wood, Sarah; Zirps, Fotena A. – New Directions for Child and Adolescent Development, 2019
Despite decades of research, it has been difficult to achieve consensus on a definition of common learning disabilities such as dyslexia. This lack of consensus represents a fundamental problem for the field. Our approach to addressing this issue is to use model-based meta-analyses and Bayesian models with informative priors to combine the results…
Descriptors: Dyslexia, Learning Disabilities, Meta Analysis, Bayesian Statistics
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
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
Hoyer, Annika; Kuss, Oliver – Research Synthesis Methods, 2019
Diagnostic test accuracy studies frequently report on sensitivities and specificities for more than one threshold of the diagnostic test under study. Although it is obvious that the information from all thresholds should be used for a meta-analysis, in practice, frequently, only a single pair of sensitivity and specificity is selected. To overcome…
Descriptors: Meta Analysis, Diagnostic Tests, Correlation, Intervals
Hedge, Craig; Powell, Georgina; Bompas, Aline; Sumner, Petroc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Response control or inhibition is one of the cornerstones of modern cognitive psychology, featuring prominently in theories of executive functioning and impulsive behavior. However, repeated failures to observe correlations between commonly applied tasks have led some theorists to question whether common response conflict processes even exist. A…
Descriptors: Individual Differences, Cognitive Ability, Cognitive Processes, Meta Analysis
Pedder, Hugo; Boucher, Martin; Dias, Sofia; Bennetts, Margherita; Welton, Nicky J. – Research Synthesis Methods, 2020
Time-course model-based network meta-analysis (MBNMA) has been proposed as a framework to combine treatment comparisons from a network of randomized controlled trials reporting outcomes at multiple time-points. This can explain heterogeneity/inconsistency that arises by pooling studies with different follow-up times and allow inclusion of studies…
Descriptors: Simulation, Randomized Controlled Trials, Meta Analysis, Comparative Analysis
Martin, Florence; Wu, Tong; Wan, Liyong; Xie, Kui – Online Learning, 2022
The Community of Inquiry (CoI) framework describes three essential presences (i.e., teaching presence, cognitive presence, and social presence) and how these presences interact in providing an educational experience in online and blended learning environments. This meta-analysis examined 19 empirical studies on the CoI Presences (teaching…
Descriptors: Blended Learning, Meta Analysis, Correlation, Communities of Practice
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
Greene, Jeffrey A.; Cartiff, Brian M.; Duke, Rebekah F. – Journal of Educational Psychology, 2018
Epistemic cognition, defined as the ways that people acquire, justify, and use knowledge, has been a prominent area of scholarship in educational psychology for nearly 50 years. Researchers have argued that epistemic cognition is a key predictor of many 21st century learning outcomes including critical thinking, scientific literacy, and historical…
Descriptors: Meta Analysis, Correlation, Epistemology, Academic Achievement
Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
Dunst, Carl J. – European Journal of Psychology and Educational Research, 2022
Findings from a research synthesis of the relationships between family needs and parent, family, and child functioning are reported. The synthesis included 31 studies conducted in 12 different countries. The studies were conducted between 1987 and 2021 and included 4,543 participants. Eight different family needs scales or adaptations of the…
Descriptors: Research Reports, Family Needs, Family Relationship, Outcome Measures