Teacher working conditions (TWCs) are, in many ways, student learning conditions. Furthermore, they have also been linked to teacher retention. These connections make TWCs important to understand; yet there is no accepted construct definition delineating and defining what TWCs are. Through a systematic review and narrative synthesis of literature…

In the 2018 meta-analysis of "Educational Psychology Review" entitled "Null effects of perceptual disfluency on learning outcomes in a text-based educational context" by Xie, Zhou, and Liu, we identify some errors and inconsistencies in both the methodological approach and the reported results regarding coding and effect sizes.…

Cognition could be seen as a cascade of top-down and bottom-up processes across behavioural and psychophysiological layers in a cognitive architecture. Typical behavioural measurements used in education do not give information about lower cognitive layers. Event-Related Potentials (ERPs) derived from electroencephalography allow researchers to…

This study aims to identify dominant theories, research areas, and trends related to coping issues in teacher education (TE) research. The origin of coping theories comes from psychology, but there is a growing shift in coping research related to teaching, problem-solving, and training programs in pedagogy. Although coping issues in TE affect…

Unethical research practices are prevalent in China, but little research has focused on the causes of these practices. Drawing on the criminology literature on organisational deviance, as well as the concept of "cengceng jiama," which illustrates the increase of pressure in the process of policy implementation within a top-down…

Overlap in meta-reviews results from the use of multiple identical primary studies in similar reviews. It is an important area for research synthesists because overlap indicates the degree to which reviews address the same or different literatures of primary research. Current guidelines to address overlap suggest that assessing and documenting the…

Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA's popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is…

The single-case adapted alternating treatments design allows for an experimental comparison between two independent variables applied across two equally difficult, yet functionally independent, dependent variables. The design has been used prominently within the special education and behavior analysis literature since its inception. Despite its…

Using item-response theory to model rater effects provides an alternative solution for rater monitoring and diagnosis, compared to using standard performance metrics. In order to fit such models, the ratings data must be sufficiently connected in order to estimate rater effects. Due to popular rating designs used in large-scale testing scenarios,…

This article details the challenges we faced in collecting sensitive information in an ethnically and religiously divided community that has experienced recent violence. The discussion is based on a summer 2016 survey experiment we conducted in Jos, Nigeria, to gather information regarding residents' perceptions of local communal violence. We…

In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…

N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…

Quantitative education research is often perceived to be "objective" or "neutral." However, quantitative research has been and continues to be used to perpetuate inequities; these inequities arise as both intended effects and unintended side effects of traditional quantitative research. In this review of the literature, we…

Due to the global COVID-19 pandemic, in-person data collection methods have been considerably hampered by requirements for social distancing and safety. Consequently, academic inquiry has shifted largely to virtual means, leading to the considerable growth of virtual qualitative research. Conducting virtual research in post-conflict contexts, such…

Constant changes to COVID-19 restrictions have required adaptability from social scientists including responding to new challenges such as infiltration by bots. This research note presents unexpected encounters of bot infiltration and recruitment during survey data collection under pandemic conditions. The note draws from a household survey on a…