Introduction: The Delphi technique is widely used in library and information science research. However, many researchers in the field fail to employ standard statistical tests when using this technique. This makes the technique vulnerable to criticisms of its reliability and validity. The general goal of this article is to explore how…

Focused ethnographies can have meaningful and useful application in primary care, community, or hospital healthcare practice, and are often used to determine ways to improve care and care processes. They can be pragmatic and efficient ways to capture data on a specific topic of importance to individual clinicians or clinical specialties. While…

In the field of higher education there are few places reserved for philosophical exploration, and this, this author argues, can limit and distort the cartography. Higher education research tends to be framed as the empirical process of collecting and analysing qualitative or quantitative data. But this conception of research leaves little space…

Objective: Identify disparities by race/ethnicity and obesity status in the consumption of sugar-sweetened beverages (SSBs) and other beverages among United States schoolchildren to help tailor interventions to reduce childhood obesity. Design: Secondary data analysis using beverage intake data from 24-hour dietary recalls and measured height and…

The National Council of Teachers of Mathematics (NCTM) continues to emphasize the importance of early statistical learning; data analysis and probability was the Council's professional development "Focus of the Year" for 2007-2008. Such a focus is needed, especially given the results of the statistics items from the 2003 NAEP. As…

Background: Our ability to look at structure and function of a living brain has increased exponentially since the early 1970s. Many studies of developmental disorders now routinely include a brain imaging or electrophysiological component. Amid current enthusiasm for applications of neuroscience to educational interventions, we need to pause to…

The nascent field of mixed methods research has yet to develop a cohesive framework of guidelines and procedures for mixed methods data analysis (Greene, 2008). To support the field's development of analytical frameworks, this case study reflects on the development and implementation of a mixed methods study engaged in integrated data analysis.…

Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…

We investigate the performance of three statistics, R [subscript 1], R [subscript 2] (Glas in "Psychometrika" 53:525-546, 1988), and M [subscript 2] (Maydeu-Olivares & Joe in "J. Am. Stat. Assoc." 100:1009-1020, 2005, "Psychometrika" 71:713-732, 2006) to assess the overall fit of a one-parameter logistic model…

This study identified robust predictors of expressive skills in academic English as a foreign language. The participants were 92 Korean-speaking learners of English. The field test of the Pearson Test of English Academic was used as a secondary data analysis. Four communicative skills (reading, writing, listening, and speaking) and six enabling…

This study examined parent-teacher interactions during a photo-sharing project at three early childhood centers that serve as clinical sites for early childhood preservice teachers. Families were provided with a digital camera for one week to document activities they used to support children's early learning and development. Families then…

The educational technology sector is growing fast, with schools, colleges and universities more than ever looking for the best ways to use technology in the classroom. At the same time, there is an increasing appetite for learning and teaching practices to be backed up by evidence. However, there are few resources that bring these two things…

This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…

From their presence on social media sites to in-house application data files, the amount of data that companies, governments, individuals, and sensors generate is overwhelming. The growth of Big Data in both consumer and enterprise activities has caused educators to consider options for including Big Data in the Information Systems curriculum.…

Making decisions to undergo Autism Spectrum Disorders (ASD) genetic testing can be challenging. It is important to understand how the perceptions of affected individuals might influence testing decision-making. Although evidence has shown that psychological factors are important in predicting testing decisions, affect-type variables have been…