Conventional random-effects models in meta-analysis rely on large sample approximations instead of exact small sample results. While random-effects methods produce efficient estimates and confidence intervals for the summary effect have correct coverage when the number of studies is sufficiently large, we demonstrate that conventional methods…

Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…

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.…

Meta-analyses in orphan diseases and small populations generally face particular problems, including small numbers of studies, small study sizes and heterogeneity of results. However, the heterogeneity is difficult to estimate if only very few studies are included. Motivated by a systematic review in immunosuppression following liver…

People with autism show superior performance to controls on the Embedded Figures Test (EFT). However, studies examining the relationship between autistic-like traits and EFT performance in neurotypical individuals have yielded inconsistent findings. To examine the inconsistency, a meta-analysis was conducted of studies that (a) compared high and…

Despite the widespread interest in using and researching simulation in higher education, little discussion has yet to address a key pedagogical concern: difficulty. A "sociomaterial" view of learning, explained in this paper, goes beyond cognitive considerations to highlight dimensions of material, situational, representational and…

This article presents a summary of the findings of a systematic review and meta-analysis of the literature on computer-based interactive simulations for K-12 science, technology, engineering, and mathematics (STEM) learning topics. For achievement outcomes, simulations had a moderate to strong effect on student learning. Overall, simulations have…

Background: By 2009, 99% of U.S. classrooms had access to computers, with an average ratio of 1.7 students per computer, and 40% of teachers report using computers often in their classrooms. However, while K-12 schools are investing more heavily in digital technologies, only a small fraction of this investment is going to instructional software…

This article explores research on the use of computerized games and simulations in language education. The author examined the psycholinguistic and sociocultural constructs proposed as a basis for the use of games and simulations in computer-assisted language learning. Research in this area is expanding rapidly. However, to date, few studies have…

In 2 Monte Carlo studies of fixed- and random-effects meta-analysis for correlations, A. P. Field (2001) ostensibly evaluated Hedges-Olkin-Vevea Fisher-[zeta] and Schmidt-Hunter Pearson-r estimators and tests in 120 conditions. Some authors have cited those results as evidence not to meta-analyze Fisher-[zeta] correlations, especially with…

This article examines the state of assessment in simulation and gaming over the past 40 years. While assessment has come slowly to many disciplines, members of the simulation and gaming community have been assessing the educational effectiveness of their experiential activities for years, in part because of skepticism from more traditional…

"Psychology for the Classroom: E-Learning" is a lively and accessible introduction to the field of technology-supported teaching and learning and the educational psychology associated with those developments. Offering a substantial and useful analysis of e-learning, this practical book includes current research, offers a grounding in both theory…

The Personality Assessment Inventory (L. C. Morey, 1991) includes 3 measures for identifying overreporting of psychopathology: the Negative Impression scale (NIM), Malingering Index (MAL), and Rogers Discriminant Function (RDF). Meta-analysis revealed that each measure was a strong predictor of uncoached (NIM, d = 1.48, k = 23; MAL, d = 1.15, k =…

Federal standards established in 1997 allow respondents to select multiple-race categories. These new standards changed the single-race subgroup definitions that the government has required since 1977. Meta-analysis, research on long-term assessment trends, and other research involving historical comparisons must account for the definitional…

Many have elaborated on the potential of virtual reality (VR) in learning. This article attempts at organizing the literature in this issue in order to better identify indicators that can account for future valid trends, and seeks to bring to attention how authors who wrote about the future of VR in education confused futures' terms and produced…