Machine learning (ML) has become commonplace in educational research and science education research, especially to support assessment efforts. Such applications of machine learning have shown their promise in replicating and scaling human-driven codes of students' work. Despite this promise, we and other scholars argue that machine learning has…

Meta-analysts often encounter missing covariate values when estimating meta-regression models. In practice, ad hoc approaches involving data deletion have been widely used. The current study investigates the performance of different methods for handling missing covariates in meta-regression, including complete-case analysis (CCA), shifting-case…

Purpose: Phenomenology has a long tradition as a qualitative research method in the social and health sciences. The application of phenomenological methods to understand lived experiences and subjectivities offers researchers a rich tapestry of methodological approaches, often however, the availability of these methods to researchers is tempered…

Research in zoos is an important scientific endeavor that requires several complex considerations in order to occur. Among those many considerations are the ethics involved in conducting zoo research. However, it is not always clear how zoo researchers should go about resolving any research ethics matters, even determining when "some"…

This paper argues that methodological uncertainty, such as that experienced by the social research community through the COVID-19 pandemic (2020-2022) is, and has always been, a vital part of the research landscape. Whilst recognising the many damaging effects of the uncertainties of the pandemic on research and researchers, we home in on the…

This article offers a framework for the study of research governance effects on scientific fields framed by notions of research quality and the epistemic, organizational, and career choices they entail. The framework interprets the contested idea of 'quality' as an interplay involving notion origins, quality attributes, and contextual sites. We…

This paper takes up the struggles of doing of post-qualitative inquiry for inclusion and teacher education for inclusion. As collaborators who have taken different turns in the quest to understand posthumanist methodology, broadly speaking, we write with different voices. We take up two important themes--identity/ethics and becoming--to venture…

Practitioner researchers have much to gain from using stimulated recall, a powerful data collection method whereby structured observations are followed by introspectively focused interviews. The close insider positions that practitioner researchers maintain, however, mean that they are liable to very powerful intuitions. Working under the…

The main part of this dissertation study consists of a survey of the types of articles (e.g., articles based on qualitative research, articles based on quantitative research, theoretical articles, etc.) that appear between 2016 and 2021 in five of the leading mathematics education journals (N = 1,317). In addition, for the articles that carry out…

Clustered data structures are common in many areas of educational and psychological research (e.g., students clustered in schools, patients clustered by clinician). In the course of conducting research, questions are often administered to obtain scores reflecting latent constructs. Multilevel measurement models (MLMMs) allow for modeling…

Purpose: This paper contends that data generated by research on supervision are often taken as authentic data. Through an examination of studies that use audio/visual recordings to investigate supervision, the paper both promotes and problematises the recording of supervision meetings as a useful technique for doctoral supervision research. This…

Mailing campaigns are a way to keep longitudinal survey respondents engaged. While mailings usually include a survey answer request, sometimes respondents are contacted between-waves to update contact information or simply to keep respondent contact. Research on the actual impact of these between-wave contacts on response rates is scarce. This…

For medical educators, autoethnography as a research methodology provides a means of active engagement in reflective practice, ranging from teaching and educational innovation to interactions with patients and colleagues. In this way, they may benefit from the systematic reflexivity required, improve their interactions with the people around them,…

Background: COVID-19 accentuated an evergreen dilemma in evidence-informed policy making--the imperative to synthesise the best available evidence with limited time to produce high quality synthesis. The pandemic prompted the adaptation of evidence synthesis practices to match the urgency of the crisis, and heightened demand by policy makers,…

As a crucial method in organizational and social behavior research, self-report surveys must manage method bias. Method biases are distorted scores in survey response, distorted variance in variables, and distorted relational estimates between variables caused by method designs. Studies on method bias have focused on "post hoc"…