The purpose of this paper is to analyze the use of the exemplar methodology (ExM) as a method for selecting exemplars in education research. ExM is a systematic approach to selecting outliers that can be used to education researchers who investigate outliers to better understand phenomena among students, teachers, schools, and communities. While…

This article discusses anonymizing elite interviewees. Based on our experiences with interviewing professional elites and ultra-elites in different research projects, we describe how the types of conflicts involving analysis and publication change when interviewees are not promised anonymity. We discuss how contextualizing the elite positions of…

Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average)…

The deficit narrative is a critical component of the white racial frame and attributes disparate outcomes to the racialized groups themselves rather than the policies and actions that create conditions that produce these disparities. Educational research that employs racialized groups as a variable in quantitative research holds potential to…

What do we actually do when we research education policy and governance? Why do we tame the messy hinterland of research into smooth accounts and what do we lose in the process? In this volume, distinguished scholars in education policy and governance research discuss how the practice of methods is messy, subjective, and provisional. They approach…

Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…

Bayesian approach is becoming increasingly important as it provides many advantages in dealing with complex data. However, there is no well-defined model selection criterion or index in a Bayesian context. To address the challenges, new indices are needed. The goal of this study is to propose new model selection indices and to investigate their…

Social media is a popular method for recruiting research participants and especially during the current pandemic. Researchers are increasingly using platforms like Facebook and Twitter to engage with participant groups, either to collect data directly (by posting links to online surveys) or to recruit participants for further research activity (to…

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…

Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…

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…

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,…