To determine factors affecting successful research and publication among medical students, a cross-sectional survey study was carried out at four Thai medical schools during 2018-2022. Medical students who had previously performed research under research advisors' supervision and their research advisors were included. There were 120 participants,…

Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study…

While conflict event data sets are increasingly used in contemporary conflict research, important concerns persist regarding the quality of the collected data. Such concerns are not necessarily new. Yet, because the methodological debate and evidence on potential errors remains scattered across different subdisciplines of social sciences, there is…

This article reflects on the effect of gatekeepers, guides and ghosts on gaining access to research participants and field sites. Using a critically reflective approach, we examine our role as researchers and the roles of intermediaries in the process to access schools during the COVID-19 pandemic. Our findings show how gaining access is a…

There are marked racial and ethnic disparities in diagnosis and services for individuals on the autism spectrum, yet race and ethnicity are underreported and underexamined in autism research. The current study examines the reporting of race and ethnicity and the inclusion of participants across racial and ethnic groups in studies included in a…

Environmental education research often emphasizes the importance of community context, but conceptualization and measurement of environmental literacy has mostly occurred at the individual level, often focusing on individual behaviors. The environmental problems facing the world today require collective action--communities coming together to…

This study systematically reviews randomly selected 155 experimental studies in education field originated in the Republic of Turkey between 2010 and 2020. Indiscriminate choice of sample size in recent publications prompted us to evaluate their statistical power and precision. First, above and beyond our review, we could not identify any…

Research about dying is viewed as inherently sensitive because of how death is perceived in many societies. Such framing assumes participants are 'vulnerable' and at risk of 'harm' from research. Simultaneously, with increasing recognition of the importance of reflexivity, researchers can become (deeply) preoccupied with their actions and…

Over the last two decades, international governments have positioned PhD holders as vital to prosperity -- and yet, understanding of PhD holders' economic, social and cultural contributions remains considerably undeveloped. This article shares insights from a secondary analysis study of PhD employment in the UK. This study made use of the…

This paper discusses methodological challenges in researching practice. The primary challenge discussed arises from the view that practice is inextricable from its performance, and that performance is embedded in social relations, material infrastructures and historical context. The paper argues for a philosophical hermeneutics approach that works…

Doubly robust (DR) estimators that combine regression adjustments and inverse probability weighting (IPW) are widely used in causal inference with observational data because they are claimed to be consistent when either the outcome or the treatment selection model is correctly specified (Scharfstein et al., 1999). This property of "double…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Advice on case selection in small-"N" research emphasizes controlling for confounding variables to facilitate inferential tests of a cross-case pattern. Yet many researchers embrace the "mechanismic worldview" and aim to construct explanations. Explanations differ from inferences because one explains an outcome at the…

Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…

To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations…