Prior researches have highlighted challenges and variations arising from the requirements of research ethics committees and ethics governance systems across diverse research fields. This emphasizes the need to investigate how universities convey and implement research ethical practices. Research ethics plays a pivotal role in guiding the…

The case study focuses on the co-development of stories about sexuality and gender with people with disabilities in Australian and New Zealand research that used inclusive research methods and narrative research approaches. Outlined in this case study are key aspects of the research from ethics to dissemination, looking closely at the…

In this article, we pursue two points of discussion. First, a new illustration is presented of the person-oriented tenet according to which it can be hazardous to generalize to the individual results that are based on the analysis of aggregated data. Second, it is illustrated that taking into account serial dependence information can result in not…

Background: The coronavirus disease 2019 pandemic changed the way we live, work, interact and do research. Many activities moved online, and digital inclusion became an urgent issue for researchers working with people with learning disabilities and other groups at risk of exclusion. This has generated new questions about how we conduct research…

Purpose: Most neural and physiological research on stuttering focuses on the fluent speech of speakers who stutter due to the difficulty associated with eliciting stuttering reliably in the laboratory. We previously introduced an approach to elicit stuttered speech in the laboratory in adults who stutter. The purpose of this study was to determine…

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…