Increasingly, higher education stakeholders are recognizing the value--and the imperative--of empowering students to bring their whole selves to college and, to that end, are providing holistic programming and learning opportunities. Fostering student connection and belonging through multiple modalities and providing proactive and wide-ranging…

This research explored the knowledge, skills, and strategies early childhood teachers possess related to implementing curriculum and authentic assessment. Research suggests that early educators rate their knowledge of curriculum and authentic assessment and their implementation of both as excellent. Despite these self-reported, high levels of…

For the least-squares analysis of data having multiple uncertain variables, the generally accepted best solution comes from minimizing the sum of weighted squared residuals over all uncertain variables, with, for example, weights in x[subscript i] taken as inversely proportional to the variance [delta][subscript xi][superscript 2]. A complication…

Thousands of children with cancer participate in medical and social sciences research during and beyond their hospitalization and treatment. However, methodological techniques and issues in conducting qualitative research with children with cancer have received little attention in the literature to date. Therefore, the present article explores the…

We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…

Analytics is getting a great deal of attention in both industrial and academic venues. Organizations of all types are becoming more serious about transforming data from a variety of sources into insight, and analytics is the key to that transformation. Academic institutions are rapidly responding to the demand for analytics talent, with hundreds…

In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…

This paper describes two classes of advanced data mining methods that can obtain actionable insight from cooperative education data: text mining of job descriptions and graph mining of job interview data. While these methods are not new in general, they have not been widely used in co-operative education research. A technical overview of each…

Data sets from large-scale longitudinal surveys involving young children and families have become available for secondary analysis by researchers in a variety of fields. Researchers in early intervention have conducted secondary analyses of such data sets to explore relationships between nonmalleable and malleable factors and child outcomes, and…

This article offers a diffractive methodological intervention into workplace studies of academic life. In its engagement of a playful, performative research and writing practice, the article speaks back to technocratic organisational and sociological workplace 'time and motion' studies which centre on the human and rational, and presume a linear…

In the last two decades, game-based learning environments have evolved into powerful learning tools. With the growth and evolution in complexity of these innovations, complementary work in game-based assessment design has also begun to take shape and has generated considerable interest among a variety of education stakeholders. This is in part due…

Recognizing the need for a school nurse workload model based on more than the number of students in a caseload, the National Association of School Nurses issued recommendations related to measuring school nurse workload. Next, a workforce acuity task force (WATF) was charged with identifying the steps needed to further the recommendations. As a…

Previous research includes frequent admonitions regarding the importance of establishing connectivity in data collection designs prior to the application of Rasch models. However, details regarding the influence of characteristics of the linking sets used to establish connections among facets, such as locations on the latent variable, model-data…

The importance of data analysis software in graduate programs in education and post-graduate educational research is self-evident. However the role of this software in facilitating supererogated statistical practice versus "cookbookery" is unclear. The need to rigorously document the role of data analysis software in students' graduate…

This paper proposes a novel application of knowledge space theory for identifying discrepancies between the knowledge structure that experts expect students to have and the real knowledge structure that students demonstrate on tests. The proposed approach combines two methods of constructing knowledge spaces. The expected knowledge space is…