We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…

This paper presents the main methodological issues met with during the research on adolescent everyday life information behavior in the context of making informed decisions, which was carried out in Croatia from 2018 to 2020. It does not focus on the research results, but rather on the methodological issues and concerns that had occurred stemming…

The COVID-19 pandemic influenced academia in many ways, impacting learners and teachers. This article is authored by six sustainable urban development doctoral researchers from various backgrounds and stages of their journey, and an academic advisor. The article is an outcome of remote collaboration through a substantial period during the…

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"…

This paper addresses the issue of how local and global norms and requirements are negotiated in the early stages of development of Social Science research ethics policy in a Global South context. A review of relevant literature followed by analysis of relevant national and institutional policies highlights both tensions and creative potential for…

Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data…

We sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the process of systematic review, provide information to guide research improvement activity, and support translation from preclinical to clinical research. We use 7840 full-text publications describing…

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…

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…