Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…

Preregistration involves researchers publicly registering key study elements before conducting a study to increase the transparency of research and limit the use and impact of questionable research practices. To support special education researchers' engagement with preregistrations, in this article we provide an overview of preregistration and…

Background: In theory and practice, it is understood that personal relationships play a role in the effectiveness of translational models that bridge research and policy. These models can be made more efficient by understanding factors impacting relationships between policy-making players and third-party knowledge brokers. Aims and objectives:…

Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in…

Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power…

The pervasive use of the Internet and technology has its impact on citizens' civic participation. There are growing numbers of research which explore digital citizenship (DC) for citizens' better civic participation in the information society. With the growing attention of digital citizenship, a systematic review of empirical research focused on…

The paper applies a scoping review of k = 16 empirical studies from nine countries and three continents that aim at an empirical investigation of teachers' ICT integration in lesson plans as part of their professional competence. We summarise the results into four sections: conceptualisations, study design, measurement instruments, and key…

Decomposing variables into between and within components are often required in multilevel analysis. This method of decomposition should not ignore possible unreliability of an observed group mean (i.e., arithmetic mean) that is due to small cluster sizes and can lead to substantially biased estimates. Adjustment procedures that allow unbiased…

This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…

With the ubiquitous presence of media devices, media multitasking has become prevalent in an educational context. Several authors have synthesized the literature on this topic, but no systematic review has been carried out so far. The present study fills this gap by examining the academic papers in the past decade to delineate the research trends,…

Creativity researchers are increasingly interested in understanding when, how, and for whom creativity can be beneficial. Previous reviews have demonstrated that creativity research largely ignores the study of its impact on factors that promote health, and well-being among populations of adults. It is unclear, in fact, whether this gap in…

Research skills, especially in experimental design, are essential for success in bioscience doctoral training. While there is a growing body of literature on the development of research skills among science, technology, engineering, and mathematics doctoral students, very little is specific to biosciences. We seek to address this gap by…

The article focuses on estimating effects in nonrandomized studies with two outcome measurement occasions and one predictor variable. Given such a design, the analysis approach can be to include the measurement at the previous time point as a predictor in the regression model (ANCOVA), or to predict the change-score of the outcome variable…

Teachers' self-efficacy beliefs and research behaviors are critical to both professional development and the quality of instruction. Thus, teachers are expected to accept and apply the research findings generated by educational researchers to solve a classroom, student, or instructional issue. This article aimed to determine teachers'…

Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…