Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…

With the rise of big data, it is becoming increasingly important to educate groups of students at many educational levels about data analytics. In particular, students without a strong mathematical background may have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods,…

The Minimum Data Set (MDS) is a uniform instrument used in nursing homes to assess residents. In January 2008, the Centers for Medicare and Medicaid Services published a draft of a new MDS--version 3.0. This article traces the instrument's development and the design decisions that shaped it, discusses the MDS's manifest functions--data collection…

User-centered evaluations of information systems often focus on the usability of the system rather its usefulness. This study examined how a using an interactive knowledge-domain visualization (KDV) system affected users' understanding of a domain. Interactive KDVs allow users to create graphical representations of domains that depict important…

Purpose: Much of the recent research on data-driven decision making in US schools has focused on standardized test scores while other forms of data in schools have gone largely unexamined as useful data, such as teacher-assigned grades. Based on the literature, the theory outlined in this paper is that grades, as data historically overlooked in…

The outcomes of two scoring methods (one based on an error analysis and the second on a conventional method) on free-response tests, compared in terms of reliability and dimensionality, indicates the conventional method is inferior in both aspects. (Author/PN)