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Stephanie G. Craig; Katelyn Frankiewicz; Natalie R. Stearns; Julie Girard-Lapointe; Allana Cortese; Natasha Vogel; Debra J. Pepler – Prevention Science, 2025
Children who engage in aggressive behaviors are at heightened risk of being involved in the justice system, committing serious offenses, and becoming chronic offenders. The Stop Now And Plan (SNAP) program was designed as an early intervention to address several mechanisms underlying the development of conduct problems, including emotion…
Descriptors: Early Intervention, Child Behavior, Behavior Problems, Aggression
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Haoning Liu; Xinyi Yang; Wei Shao; Xiao Yu – Educational Psychology Review, 2025
While nature contact is increasingly recognized for its health benefits, its role in human development and learning remains insufficiently examined. The present meta-analysis aimed to investigate (a) the extent to which nature contact predicts social functioning, cognitive functioning, and academic performance, (b) whether these associations vary…
Descriptors: Outdoor Education, Predictor Variables, Social Development, Cognitive Processes
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Ayça Akin – Educational Studies, 2025
This research aims to conduct a fixed-effects meta-analysis to unpack the causal role of music interventions on mathematics achievement. Findings indicated that music interventions had a small to moderate positive effect on mathematics achievement (N = 77,595, k = 245, g = 0.36, p < 0.01, 95% CI [0.34, 0.38]). Mathematics skills, instructional…
Descriptors: Literature Reviews, Meta Analysis, Mathematics Education, Mathematics Achievement
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Charlotte Popp; Heidrun Stoeger; Albert Ziegler – Journal for the Education of the Gifted, 2025
In this second-order scoping review--that is, a broad overview of research on a particular topic, identifying key concepts and evidence gaps--we (a) provide an overview of robust (and semi-robust) findings in giftedness and talent research and (b) identify areas where giftedness and talent research has not yet produced robust (and semi-robust)…
Descriptors: Academically Gifted, Gifted Education, Educational Research, Meta Analysis
Catherine Antalek; Fiona Dixon; Elisabeth Herbert; Joanna Kolak – UK Department for Education, 2025
According to the SEND Code of Practice (DfE, 2015), cognition and learning difficulties encompass a wide range of needs, including general and specific learning difficulties. These difficulties affect various areas of learning including literacy, numeracy, and the acquisition of subject-specific knowledge and skills and may be linked to underlying…
Descriptors: Foreign Countries, Learning Disabilities, Cognitive Processes, Mathematical Aptitude
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Jining Han; Yuying Yang; Geping Liu – European Journal of Education, 2025
The rapid emergence of generative artificial intelligence (GenAI) in academic settings has led to growing concerns about its impact on writing and assessment practices. This paper reviews the latest literature on detecting GenAI-generated content and explores the challenges and potential solutions faced by educators. This study identifies various…
Descriptors: Literature Reviews, Artificial Intelligence, Writing Evaluation, Evaluation Methods
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Aydin Bulut – European Journal of Education, 2025
The present study employs a systematic thematic analysis of the extant academic literature on the subject of 'technology in reading' to explore its conceptual evolution and educational implications. The PRISMA framework was used to analyse 6081 peer-reviewed articles published between 1944 and July 2025 through bibliometric methods. The findings…
Descriptors: Literature Reviews, Bibliometrics, Meta Analysis, Reading Materials
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Nuijten, Michèle B.; van Assen, Marcel A. L. M.; Augusteijn, Hilde E. M.; Crompvoets, Elise A. V.; Wicherts, Jelte M. – Journal of Intelligence, 2020
In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson's correlation of 0.26, and the median sample size was 60. Furthermore,…
Descriptors: Effect Size, Meta Analysis, Intelligence, Statistical Analysis
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Weber, Frank; Knapp, Guido; Ickstadt, Katja; Kundt, Günther; Glass, Änne – Research Synthesis Methods, 2020
The standard estimator for the log odds ratio (the unconditional maximum likelihood estimator) and the delta-method estimator for its standard error are not defined if the corresponding 2 x 2 table contains at least one "zero cell". This is also an issue when estimating the overall log odds ratio in a meta-analysis. It is well known that…
Descriptors: Meta Analysis, Maximum Likelihood Statistics, Effect Size, Error Correction
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Bom, Pedro R. D.; Rachinger, Heiko – Research Synthesis Methods, 2020
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…
Descriptors: Meta Analysis, Sampling, Research Problems, Computation
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Shi, Jiandong; Luo, Dehui; Weng, Hong; Zeng, Xian-Tao; Lin, Lu; Chu, Haitao; Tong, Tiejun – Research Synthesis Methods, 2020
When reporting the results of clinical studies, some researchers may choose the five-number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather than the sample mean and standard deviation (SD), particularly for skewed data. For these studies, when included in a meta-analysis, it is often…
Descriptors: Statistics, Computation, Sample Size, Mathematical Formulas
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Moulin, Thiago C.; Amaral, Olavo B. – Research Synthesis Methods, 2020
Meta-analytic methods are powerful resources to summarize the existing evidence concerning a given research question and are widely used in many academic fields. Meta-analyzes can also be used to study sources of heterogeneity and bias among results, which should be considered to avoid inaccuracies. Many of these sources can be related to study…
Descriptors: Authors, Meta Analysis, Network Analysis, Cooperation
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Nuijten, Michèle B.; Polanin, Joshua R. – Research Synthesis Methods, 2020
We present the R package and web app "statcheck" to automatically detect statistical reporting inconsistencies in primary studies and meta-analyses. Previous research has shown a high prevalence of reported p-values that are inconsistent--meaning a re-calculated p-value, based on the reported test statistic and degrees of freedom, does…
Descriptors: Meta Analysis, Statistical Analysis, Reliability, Replication (Evaluation)
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Harwell, Michael – Mid-Western Educational Researcher, 2020
Accurate and consistent reviews of documents describing research studies are essential to valid and generalizable inferences in a meta-analysis. Traditionally a small number of reviewers screen studies using the title, abstract, and possibly the full text to determine a study's eligibility for a meta-analysis. This study explores whether reviewing…
Descriptors: Meta Analysis, Educational Research, Resources, Accuracy
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Du, Han; Bradbury, Thomas N.; Lavner, Justin A.; Meltzer, Andrea L.; McNulty, James K.; Neff, Lisa A.; Karney, Benjamin R. – Research Synthesis Methods, 2020
Researchers often seek to synthesize results of multiple studies on the same topic to draw statistical or substantive conclusions and to estimate effect sizes that will inform power analyses for future research. The most popular synthesis approach is meta-analysis. There have been few discussions and applications of other synthesis approaches.…
Descriptors: Bayesian Statistics, Meta Analysis, Statistical Inference, Synthesis
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