Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…

Purpose: This meta-analytical study aims to test the interrelationships within Bolman and Deal's four-frame leadership model in educational settings around the world. Moreover, we evaluated the effect of several factors like publication year, study type, sample group, level of education and country of data collection on these relationships.…

The 21st century requires English language teaching teachers to cultivate the use of language and competencies to make their students 21st-century learners. Podcasts produced by students allow them to use language in an authentic setting while practicing the skills of critical thinking, innovation, creativity, problem-solving, reflection, and…

Heterogeneity is commonplace in meta-analysis. When heterogeneity is found, researchers often aim to identify predictors that account for at least part of such heterogeneity by using mixed-effects meta-regression models. Another potentially relevant goal is to focus on the amount of heterogeneity as a function of one or more predictors, but this…

Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…

Since the early 1990s the number of systematic reviews (SR) of animal studies has steadily increased. There is, however, little guidance on when and how to conduct a meta-analysis of human-health-related animal studies. To gain insight about the methods that are currently used we created an overview of the key characteristics of published…

Student performance modelling is one of the challenging and popular research topics in educational data mining (EDM). Multiple factors influence the performance in non-linear ways; thus making this field more attractive to the researchers. The widespread availability of educational datasets further catalyse this interestingness, especially in…

Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we…

The study explores the effectiveness of multimodality teaching using the 4MAT Model. A meta-analysis was conducted with empirical studies on instruction via multimodality teaching in preschool, K-12, and higher education. The studies in the meta-analysis involved an experimental and control group. The control group received traditional teaching…

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…

Although the literature underscores the importance of teacher educators' roles in technology leadership, there remains a need to clearly define this concept within teacher education and to understand the attributes and practices that enable teacher educators to act as technology leaders, as well as the factors influencing their leadership in…

This article provides a meta-analysis of studies using the crosswise model (CM) in estimating the prevalence of sensitive characteristics in different samples and populations. On a data set of 141 items published in 33 either articles or books, we compare the difference ([delta]) between estimates based on the CM and a direct question (DQ). The…

Reference intervals, or reference ranges, aid medical decision-making by containing a pre-specified proportion (e.g., 95%) of the measurements in a representative healthy population. We recently proposed three approaches for estimating a reference interval from a meta-analysis based on a random effects model: a frequentist approach, a Bayesian…

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…

The use of writing instruction strategies has become increasingly common in English language learning, particularly among students with learning disabilities (LD). However, there remains a lack of comprehensive categorization of effective writing instruction models for both first language (L1) and second language (L2) students with LD. This study…