As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…

This case study draws on my quantitative study of college entrance exam preparation (also known as "test prep") to illustrate how a researcher goes about setting up a quantitative project using existing datasets. I describe how I decided between two different datasets, a decision which required attention to how the research question was…

Firms in industry continue to be attracted by the benefits of Big Data Analytics. The benefits of Big Data Analytics projects may not be as evident as frequently indicated in the literature. The authors of the study evaluate factors in a customized methodology that may increase the benefits of Big Data Analytics projects. Evaluating firms in the…

There is an urgent need for primary and secondary students to develop awareness, knowledge, attitudes, and an environmental ethic necessary to undertake environmental issues and problems. The need to adequately prepare teachers to teach about the environment, and the challenges the field of environmental education (EE) faces lead us to the…

Missing data (attrition and non-response) are a feature of most surveys especially longitudinal/panel studies. And many such studies now have multilevel designs and hence multilevel data structures. Recent advances in imputation methodology now offer social researchers opportunities to address issues of missing data in a statistically principled…

The case study presented in this article is an example of an implementation evaluation. The evaluation investigated significant components of the implementation of a long-term environmental educational program. Direct observation, evaluation-specific survey data, and historical data were used to determine program integrity as identified by…

Conducting social science research is a complex process, and social science students face a number of learning challenges in order to develop their skills. Moreover, new sources and types of data including so-called big data are providing new opportunities for research, but also pose methodological challenges. In this article, we explore a…

As learning analytics activity has increased, a variety of ethical implications and considerations have emerged, though a significant research gap remains in explicitly investigating the views of key stakeholders, such as academic staff. This paper draws on ethics-related findings from an Australian study featuring two surveys, one of…

From 2011 to 2013, I accidentally studied US and Canadian teacher perceptions of standardized testing and its effects in the classroom. I had intended to study the role of equity issues in teacher practice; however, in conversation with teachers during initial semi-structured interviews in the United States, it became clear that understanding the…

In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies--experiments, simulations, etc.--that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to…

Governments, organizations, and companies are generating copious amounts of data and analysis to support education decision-making around the world. While continued investments in data creation and management are necessary, the ultimate value of information is not in its "production," but its "use." Herein lies one of the…

Future professionals will bear the brunt of creating sustainable societies. Equipping them for the task is the challenge of current educators. Educational experiences facilitating the development of sustainable habits of mind are needed. This research reports on the experiences of developing scientists and engineers engaged in a sustainable energy…

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…

Open-ended probing questions in cross-cultural surveys help uncover equivalence problems in cross-cultural survey research. For languages that a project team does not understand, probe answers need to be translated into a common project language. This article presents a case study on translating open-ended, that is, narrative answers. It describes…

Ubiquitous computing scenarios such as the one-to-one model, in which every student is issued a device that is to be used across all subjects, have increased in popularity and have shown both positive and negative influences on education. Music teachers in schools that adopt one-to-one models may be inadequately equipped to integrate this kind of…