Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…

The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…

Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…

In recent years, the technical possibilities of educational technologies regarding online peer feedback have developed rapidly. However, the impact of online peer feedback activities compared to traditional offline variants has not specifically been meta-analyzed. Therefore, the aim of the current meta-analysis is to do an in-depth comparison…

This article systematically reviews 35 empirical articles on the topic of networks and career advancement into academic leadership positions. Our objectives in this systematic review are to clarify: (1) the functions that networks fulfil; (2) the outcomes of these functions in terms of career advancement; and (3) whether networks are likely to…

Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…

Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…

To address the evidence gap in making effective language of instruction (LOI) decisions, we propose a systematic review of the role of LOI choices in education programs and policies on literacy outcomes in multilingual educational contexts in low- and middle-income countries (LMICs). Grounded in a multidisciplinary theory of change (ToC)…

This study aimed to reveal general landscape of research on teacher resilience, employing descriptive and bibliometric analyses. Descriptive analyses were performed utilizing Web of Science's internal system, while bibliometric analyses were executed through the VOSviewer program. Web of Science Core Collection was used as a data source. Citation…

The topic of the three chapters of this dissertation is empowering caregivers of children with or at high likelihood for autism to implement interventions in home settings with high fidelity to promote their child's social communication development. Chapter 1 provides an overview of the previous studies focused on caregiver-implemented early…

Improving school quality in low and middle income countries (LMICs) is a global priority. One way to improve quality may be to improve the management skills of school leaders. In this systematic review, we analyze the impact of interventions targeting school leaders' management practices on student learning. We begin by describing the…

This study set out to re-examine the effectiveness of study abroad programs in second language (L2) acquisition through a multi-level meta-analysis. Overall, 42 primary studies published between 1995 and 2019 were identified, and in total 283 effect sizes were meta-analysed. This study implemented a three-level random effects model to account for…

To facilitate a more definitive understanding of the usefulness of formative assessment, this meta-analysis examined the impact of formative assessment on student academic achievement in the K-12 classroom. The study analyzed 258 effect sizes from 118 primary studies published around the world. By applying a broad lens for defining and…

This paper shares the results of a meta-analysis on the parental-relational component of parental-involvement and its association with the academic and behavioral outcomes of urban students. This meta-analysis includes 76 quantitative studies. The results indicated that statistically significant effects emerged across students of different…

In many classrooms across the globe, students are expected to comprehend and produce handwritten and computer-generated texts as soon as they start school. As we progress towards digitalisation in education, it has become necessary to understand the effects of writing modality on students' literacy performance and development. The current…