This powerful resource is for researchers and educational leaders who are interested in understanding and applying research methods that emphasize youth voice. The authors argue that most educational research either omits critical understandings of youth or, even worse, presents inaccuracies due to faulty techniques. Researching how youth…

The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…

Implementing collaborative action research (CAR) is recognized as an effective strategy for transforming professional practice through evidence-based methods. How can CAR be carried out online, and how is data collected through digital methods? This case study will address these aspects in the context of a CAR, international professional…

In systematic reviews, meta-analyses are routinely applied to summarize the results of the relevant studies for a specific research question. If one can assume that in all studies the same true effect is estimated, the application of a meta-analysis with common effect (commonly referred to as fixed-effect meta-analysis) is adequate. If…

Misrepresentation and mischief in the research process can impact on ethical conduct, the validity of findings and deliberately change the outcome. This short report presents a scenario about deliberate interference in adoption research by one organisation seeking accreditation to deliver adoption services. Unbeknown to the researchers, fake…

Particular ethical tensions and dilemmas emerge when conducting qualitative educational research. This is further compounded where the predominant approach to research ethics is underscored by a dominant principalism which construes ethical rules as both universal and absolute. This article focuses on the 'perfect ethical storm' which is arguably…

Researchers are often interested in establishing equivalence of population variances. Traditional difference-based procedures are appropriate to answer questions about differences in some statistic (e.g., variances, etc.). However, if a researcher is interested in evaluating the equivalence of population variances, it is more appropriate to use a…

Like numerous others before us, we argue that the educational research community would be well served by a mutually created cyberinfrastructure that encourages and supports engagement by multiple design-based researchers in working toward answers to important theory-driven research questions, moving our field toward a "bigger science"…

Student engagement plays a vital role in improving students' learning outcomes. Traditional educational assessments of engagement have many limitations, which undermine the understanding of the mechanisms by which engagement affects learning and broad educational practices that leverage engagement. Through a mixed-methods approach and multimodal…

This research note offers a critical reflection of the process of conducting qualitative research in the Irish primary school setting. The research discussed took place during the school year 2016-2017. It explored primary school children's understandings of citizenship and, the kinds of collective social actions they participated in as citizens…

Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is particularly problematic in physics education research…

Multilevel modeling (MLM) is a statistical technique for analyzing clustered data. Despite its long history, the technique and accompanying computer programs are rapidly evolving. Given the complexity of multilevel models, it is crucial for researchers to provide complete and transparent descriptions of the data, statistical analyses, and results.…

Qualitative interviews can be enhanced through using creative methods within them to prompt discussion and conversation. The research project upon which this case focuses sought to explore the space between policy and practice in pre-entry widening participation work in universities. This is an area where often people focus on telling you about…

In education settings, treatments are often non-randomly assigned to clusters, such as schools or classrooms, while outcomes are measured for students. This research design is called the clustered observational study (COS). We examine the consequences of common support violations in the COS context. Common support violations occur when the…

Publication bias distorts the available empirical evidence and misinforms policymaking. Evidence of publication bias is mounting in virtually all fields of empirical research. This paper proposes the endogenous kink (EK) meta-regression model as a novel method of publication bias correction. The EK method fits a piecewise linear meta-regression of…