Realist synthesis techniques can be used to assess complex interventions by extracting and synthesizing configurations of contexts, mechanisms, and outcomes found in the literature. Our novel and multi-pronged approach to the realist synthesis of workplace harassment interventions describes our pursuit of theory to link macro and program level…

Data continues to grow in both importance and quantity within colleges and universities. IR professionals need to know ways data can create potential legal issues in order to be proactive rather than reactive to these situations.

The Science DMZ is a network research tool offering superior large science data transmission between two locations. Through a network design that places the Science DMZ at the edge of the campus network, the Science DMZ defines a network path that avoids packet inspecting devices (firewalls, packet shapers) and produces near line-rate transmission…

Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change…

This case study is an introduction to the use of a document checklist as part of a qualitative research method of document review. Details are provided on the types of documents that can be utilized in a document review; the advantages and disadvantages of using document review as a research data collection method; description of how to design,…

This case study is aimed at postgraduate and early career researchers who wish to embark on using ethnographic techniques in educational research. The topic in question is school food and its impact upon learning. In this case, it is the social aspect which is being addressed. This research did not aim to address the nutritious element but the way…

The research urgency is caused by necessity to develop the informational support for management of development of higher education in conditions of high turbulence of external and internal environment. The purpose of the paper is the development of methodology for structuring and analyzing datasets of educational activities in order to reduce…

The authors generated data visualizations to compare sections of the library book collection, expenditures in those areas, student enrollment in majors and minors, and number of courses. The visualizations resulting from the entered data provide an excellent starting point for conversations about possible imbalances in the collection and point to…

Just as adults' personal lives and data are increasingly inhabiting online spaces, so are students. While this shift brings many benefits and the possibility of learning tailored to individual students' needs, it is also brings new challenges. Students create an electronic trail of information that creates an obvious concern: How can they enjoy…

The exponential growth in technological capability has resulted in increased interest on the short- and long-term effects of designed artifacts, leading to a focus in many design fields on the ethics and values that are inscribed in the designs we create. While ethical awareness is a key concern in many engineering, technology, and design…

Most studies on the use of digital student data adopt an ethical framework derived from human-subject research, based on the informed consent of the experimental subject. However, consent gives universities little guidance on using learning analytics as a routine part of educational provision: which purposes are legitimate and which analyses…

Interest in the regression discontinuity (RD) design as an alternative to randomized control trials (RCTs) has grown in recent years. There is little practical guidance, however, on conditions that would lead to a successful RD evaluation or the utility of studies with underpowered RD designs. This article describes the use of RD design to…

Large quantities of data are now generated, collated and processed within schools through computerized systems and other digital technologies. In response to growing concerns over the efficiency and equity of how data is used, the concept of 'open data' has emerged as a potential means of democratizing data access and use across school…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

All research accounts are partial. Who we are--our biographies, experiences, ideological stances, and so on--affects the entirety of the research process. Who we are shapes what types of research questions we find interesting, how we frame our research objectives, how we collect data, how we analyze these data, and how we present our findings. In…