The education field, these authors assert, often alternatively ignores, belittles, or "weaponizes" scientific findings and evidence relevant to education. They show examples of how education does a worse job than other fields at either rushing to apply approaches without enough evidence of effectiveness or…

Large-scale analyses are a powerful and increasingly common tool for investigating a range of public health and social concerns (Pienta, O'Rourke, & Franks, 2011). This series will provide a primer on large-scale secondary analysis in school psychology, with this article focusing on considerations for researchers interested in applying and…

Missing data result in less precise and possibly biased effect estimates in single studies. Bias arising from studies with incomplete outcome data is naturally propagated in a meta-analysis. Conventional analysis using only individuals with available data is adequate when the meta-analyst can be confident that the data are missing at random (MAR)…

In this commentary on John Raven's "Diving in Where Angels Fear to Tread: Pre-Requisites to Evidence-Based Interventions," Tommy MacKay discusses three examples that illustrate Raven's tendency to overstate or at least to over-simplify the issues raised in his paper and to present various views, approaches, or interventions as being…

Open education and vocational education are crucial for building a learning society and promoting national development. This study uses CiteSpace software to conduct an in-depth analysis of keywords visual timelines for research hotspots, and keywords with the strongest citation bursts in China and other countries. Given the rapid global…

This paper proposes that the paradigm of relationality, engaged methodologically, can be the basis of praxis that purposefully moves away from business-oriented notions of "best practices" and toward education research that meets the needs of Indigenous and Black communities currently designing futures within settler colonial states…

We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…

Background: Although dual independent review of search results by two reviewers is generally recommended for systematic reviews, there are not consistent recommendations regarding the timing of the use of the second reviewer. This study compared the use of a complete dual review approach, with two reviewers in both the title/abstract screening…

Impact is an increasingly significant part of academia internationally, both in centralised assessment processes (for example, UK) and funder drives towards knowledge mobilisation (for example, Canada). However, narrowly focused measurement-centric approaches can encourage short-termism, and assessment paradigms can overlook the scale of effort…

The unethical practice of gift authorship and hostage authorship was portrayed in detail in previous issues of "Research Ethics." The aim of this short article is to explore the impact of penalising junior researchers for partaking in gift authorship, and the occurrence and implications of missing authorship in publication. It concludes…

Teachers are the key to an inclusive and quality education for all. Therefore, training teachers and teacher students and understanding how they learn, including information-seeking behaviours, is crucial. This systematic literature review explores the observed research gap regarding teacher students' affective information-seeking behaviours. Of…

The standard regression technique for modeling binary response variables in education research is logistic regression. The odds ratios from these models are used to quantify and communicate variable effects. These effects are sometimes pooled together as in a meta-analysis. We argue that this process is problematic as odds ratios calculated from…

Online research methods have become increasingly important over the past decades. However, there is still a lack of research on the potential advantages and disadvantages of certain qualitative online research methods. This research note discusses key aspects of conducting synchronous text-based online focus groups and provides researchers with…

The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…

The historical turn in social science has prompted scholars to engage with the work of historians on a large scale. Here, social scientists face two standard problems of selection bias: confirmation bias and convenience sampling. So far, the record of dealing with these problems has been poor, and little has been done to specify how social…