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T. D. Stanley; Hristos Doucouliagos; Tomas Havranek – Research Synthesis Methods, 2024
We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCCs) are conducted each year widely across economics, business, education, psychology, and medical research. To address these biases, we offer a new weighted average, UWLS[subscript +3]. UWLS[subscript…
Descriptors: Meta Analysis, Correlation, Bias, Sample Size
Qi, Hongchao; Rizopoulos, Dimitris; Rosmalen, Joost – Research Synthesis Methods, 2022
The meta-analytic-predictive (MAP) approach is a Bayesian meta-analytic method to synthesize and incorporate information from historical controls in the analysis of a new trial. Classically, only a single parameter, typically the intercept or rate, is assumed to vary across studies, which may not be realistic in more complex models. Analysis of…
Descriptors: Meta Analysis, Prediction, Correlation, Bayesian Statistics
Preston P. Thakral; Connor C. Starkey; Aleea L. Devitt; Daniel L. Schacter – Creativity Research Journal, 2025
Episodic retrieval plays a functional-adaptive role in supporting divergent creative thinking, the ability to creatively combine different pieces of information. However, the same constructive memory process that provides this benefit can also lead to memory errors. Prior behavioral work has shown that there is a positive correlation between the…
Descriptors: Memory, Recall (Psychology), Misinformation, Creative Thinking
van Aert, Robbie C. M.; Goos, Cas – Research Synthesis Methods, 2023
The partial correlation coefficient quantifies the relationship between two variables while taking into account the effect of one or multiple control variables. Researchers often want to synthesize partial correlation coefficients in a meta-analysis since these can be readily computed based on the reported results of a linear regression analysis.…
Descriptors: Computation, Sampling, Correlation, Meta Analysis
Simin He; Feixiang Zhou; Gang Tian; Yiran Cui; Yan Yan – Journal of Autism and Developmental Disorders, 2024
To investigate the association between exposure to anesthesia during three periods of pregnancy, delivery, and childhood and autism spectrum disorder (ASD). PubMed, Scopus, Web of Science, Embase, Google Scholar, PsycArticles, and PsycINFO were searched from the date of database inception to 1 December 2022. Studies reported the association…
Descriptors: Pregnancy, Anesthesiology, Autism Spectrum Disorders, Medical Services
Timo Gnambs; Ulrich Schroeders – Research Synthesis Methods, 2024
Meta-analyses of treatment effects in randomized control trials are often faced with the problem of missing information required to calculate effect sizes and their sampling variances. Particularly, correlations between pre- and posttest scores are frequently not available. As an ad-hoc solution, researchers impute a constant value for the missing…
Descriptors: Accuracy, Meta Analysis, Randomized Controlled Trials, Effect Size
Cahit Erdem; Metin Kaya – School Psychology International, 2024
This study reports two independent meta-analyses on the relationship between: (a) classroom climate and academic achievement; and (b) school climate and academic achievement. The analyses were based on extant correlational research studies at the K-12 level that were published between 2000 and 2020. The relationships were analyzed in terms of…
Descriptors: Meta Analysis, Literature Reviews, Classroom Environment, Educational Environment
Rebecca Hymas; Johanna C. Badcock; Elizabeth Milne – Review Journal of Autism and Developmental Disorders, 2024
Objectives: This systematic review aimed to quantify differences in loneliness levels between autistic and neurotypical samples and investigate the association between loneliness and mental health in autistic individuals. Methods: Three meta-analyses were conducted. Studies were methodologically appraised using established tools. Results: Overall,…
Descriptors: Psychological Patterns, Correlation, Anxiety, Autism Spectrum Disorders
Louise David; Felicitas Biwer; Martine Baars; Lisette Wijnia; Fred Paas; Anique de Bruin – Educational Psychology Review, 2024
Accurately monitoring one's learning processes during self-regulated learning depends on using the right cues, one of which could be perceived mental effort. A meta-analysis by Baars et al. (2020) found a negative association between mental effort and monitoring judgments (r = -0.35), suggesting that the amount of mental effort experienced during…
Descriptors: Correlation, Outcomes of Education, Metacognition, Meta Analysis
van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
Göbel, Kyra; Hensel, Lisa; Schultheiss, Oliver C.; Niessen, Cornelia – Applied Cognitive Psychology, 2022
We meta-analytically examined correlations between task-based and self-report thought control measures as well as potential moderators. Results of a frequentist meta-analysis indicate that the two measures do not overlap, r = 0.07, 95% CI [-0.01;0.15] (k = 20; N = 1194); subgroup analyses for different self-report measures r = 0.12; 95% CI…
Descriptors: Cognitive Processes, Task Analysis, Measurement Techniques, Correlation
Sanghyun Hong; W. Robert Reed – Research Synthesis Methods, 2024
This study builds on the simulation framework of a recent paper by Stanley and Doucouliagos ("Research Synthesis Methods" 2023;14;515--519). S&D use simulations to make the argument that meta-analyses using partial correlation coefficients (PCCs) should employ a "suboptimal" estimator of the PCC standard error when…
Descriptors: Meta Analysis, Correlation, Weighted Scores, Simulation
Dianne A. Vella-Brodrick; Kelsey J. Lewis; Krystina Gilowska – Educational Psychology Review, 2024
The widespread benefits of creativity have become more salient in recent years. This has led to scholarly interest in finding ways to foster creativity. Nature immersion may be one way to enhance creativity, particularly as many individuals involved in creative pursuits have found nature to be a source of inspiration and a haven for restoration.…
Descriptors: Creativity, Meta Analysis, Environment, Correlation
Xu, Chang; Furuya-Kanamori, Luis; Lin, Lifeng – Research Synthesis Methods, 2022
In evidence synthesis, dealing with zero-events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one-stage methods have their unique…
Descriptors: Evidence, Synthesis, Statistical Analysis, Meta Analysis
Sarah E. Rose; Claire M. Barlow – British Journal of Educational Psychology, 2024
Background: Within the same school class, it is usual to find children who differ in age by almost a full calendar year. Although associations between being relatively young and poor academic outcomes are well documented, and relatively consistent, the associations between being relatively young and psychosocial outcomes are less clearly…
Descriptors: Age Differences, Individual Development, Correlation, Academic Achievement