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Kwon, Deukwoo; Reddy, Roopesh Reddy Sadashiva; Reis, Isildinha M. – Research Synthesis Methods, 2021
In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are…
Descriptors: Meta Analysis, Computation, Bayesian Statistics, Computer Oriented Programs
Campbell, Harlan; de Jong, Valentijn M. T.; Maxwell, Lauren; Jaenisch, Thomas; Debray, Thomas P. A.; Gustafson, Paul – Research Synthesis Methods, 2021
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we look into the less than ideal situation in which contributing studies may be compromised by non-differential measurement error in the exposure variable. Specifically, we consider a meta-analysis for the association between a continuous outcome variable and one or…
Descriptors: Error of Measurement, Meta Analysis, Bayesian Statistics, Statistical Analysis
Zheng, Zhen; Zheng, Peng; Zou, Xiaobing – Journal of Autism and Developmental Disorders, 2021
The S100 calcium-binding protein beta subunit (S100B) protein, which mostly exists in the central nervous system, is commonly noted as a marker of neuronal damage. We conducted the first systematic review with meta-analysis to compare peripheral blood S100B levels in individuals with ASD with those in healthy controls. A systematic search was…
Descriptors: Metabolism, Autism, Pervasive Developmental Disorders, Meta Analysis
Burcas, Sylvia; Cretu, Romeo Zeno – Educational Psychology Review, 2021
Over the past 20 years, many studies have shown that students' test anxiety is significantly related to their level of perfectionism. However, the reported results are relatively inconsistent, varying in both the magnitude and direction of relationships. The present study provides the first meta-analytic review of the relationships between…
Descriptors: Personality Traits, Test Anxiety, Meta Analysis, Effect Size
Acar, Selcuk; Tadik, Harun; Myers, Danielle; van der Sman, Carian; Uysal, Recep – Journal of Creative Behavior, 2021
Creativity and well-being are popular subjects in psychological and organizational studies. The recent literature presented mixed perspectives about the nature of the relationship between the two. Whereas the mad-genius hypothesis, which was often explored among eminently creative individuals, seems to imply a negative relationship between the…
Descriptors: Creativity, Well Being, Meta Analysis, Predictor Variables
Lanrong Li – ProQuest LLC, 2021
When developing a test, it is essential to ensure that the test is free of items with differential item functioning (DIF). DIF occurs when examinees of equal ability, but from different examinee subgroups, have different chances of getting the item correct. According to the multidimensional perspective, DIF occurs because the test measures more…
Descriptors: Test Bias, Test Items, Meta Analysis, Effect Size
Lanrong Li; Betsy Jane Becker – Journal of Educational Measurement, 2021
Differential bundle functioning (DBF) has been proposed to quantify the accumulated amount of differential item functioning (DIF) in an item cluster/bundle (Douglas, Roussos, and Stout). The simultaneous item bias test (SIBTEST, Shealy and Stout) has been used to test for DBF (e.g., Walker, Zhang, and Surber). Research on DBF may have the…
Descriptors: Test Bias, Test Items, Meta Analysis, Effect Size
Van Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
Fritz, Tanja; González Cruz, Hernán; Janke, Stefan; Daumiller, Martin – Educational Psychology Review, 2023
Academic dishonesty is a pervasive problem undermining the effectiveness of educational institutions. From a motivational perspective, researchers have proposed achievement goals as antecedents of academic dishonesty. Empirical findings corroborate the notion that mastery goals (focus on learning and competence development) are negatively linked…
Descriptors: Academic Achievement, Goal Orientation, Cheating, Meta Analysis
Dahl-Leonard, Katlynn; Hall, Colby; Capin, Philip; Solari, Emily J.; Demchak, Alisha; Therrien, William J. – Annals of Dyslexia, 2023
Early access to evidence-based reading intervention improves outcomes for students with or at risk for reading difficulties. Additionally, teacher implementation of reading interventions plays a key role in the efficacy of reading interventions. Previous research suggests the influence of intervention implementation fidelity on student language…
Descriptors: Fidelity, Intervention, Elementary School Students, At Risk Students
Haque, Mustafizul; Kumar, V. Vijaya; Singh, Preeti; Goyal, Adheer A.; Upreti, Kamal; Verma, Ankit – Education and Information Technologies, 2023
Now a days with the rapidly increasing development of technology and communication system, the implementation of blockchain is continuously increasing in various sectors. With the increase in massive data in educational sectors there arise a requirement of handling such enormous data. This can be easily and securely handled by blockchain…
Descriptors: Meta Analysis, Information Technology, Technology Uses in Education, Technology Integration
Larkin, Kevin; Lowrie, Thomas – International Journal of Science and Mathematics Education, 2023
In the last 5 years, there have been several literature reviews or meta-analyses investigating various aspects of STEM education; however, they have investigated a specific aspect of STEM, e.g. robotics, or digital games, or Early childhood, or Teacher perspectives. In addition, a broad-reaching review on STEM integration has not been conducted in…
Descriptors: Teaching Methods, STEM Education, Meta Analysis, Elementary School Students
Emine Kahraman – International Journal of Modern Education Studies, 2023
The research aims to analyse the most current (2015-2023) literature on STEM education to gain a deeper understanding of current trends, priorities and developments in the field of STEM education. Scientific studies determined within the scope of the study were examined using bibliometric and content analysis methods, which are among the…
Descriptors: Bibliometrics, STEM Education, Content Analysis, Databases
A Meta-Analysis of Experimental Examinations of Racism in U.S. Pre-K-12th Grade Educational Contexts
Janssen, Jayley – ProQuest LLC, 2023
Racism primarily has been examined in United States (U.S.) educational contexts via survey and qualitative investigations, which reveal Black, Indigenous, and People of Colors' (BIPOCs') self-reported experiences of individual racism. Missing from this research is a focus on the perpetrators of racism and the institutional nature of racism in U.S.…
Descriptors: Meta Analysis, Racism, Preschool Education, Elementary Secondary Education
McDaniel, Sara C.; Watkins, Laci; Chow, Jason C.; Fedewa, Megan; Nemer, Sharon – Journal of Applied School Psychology, 2023
Coping Power (CP) is an evidence-based intervention that reduces externalizing behaviors in students who are identified as aggressive or disruptive. CP is based on a cognitive-behavioral model and involves child-focused group sessions and parent-focused sessions. A large body of research has demonstrated the effectiveness of CP, but to date there…
Descriptors: Literature Reviews, Meta Analysis, Coping, Evidence Based Practice

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