Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…

This paper reports an investigation into the psychometric properties of the COR-Advantage1.5 (COR-Adv1.5) assessment tool, a criterion-referenced observation-based instrument designed to assess the developmental abilities of children from birth through kindergarten. Using data from 8534 children participating in a state-funded preschool program…

Positioning and repositioning continue to be critical topics in business strategy, and yet a review of current business research syllabi from several institutions showed that very few institutions teach the analytical underpinnings of how perceptual maps can be created using multidimensional scaling and how they should be interpreted. At the…

Purpose: The purpose of this paper is to investigate undergraduate industrial design students' perception of sustainable design concepts and how their conceptualization evolves as a function of their attendance to a specific sustainable design studio (SDS) course. Design/methodology/approach: Two groups of students participated in the study.…

Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…

Purpose: The purpose of this paper is to report a literature review on sustainability funding in higher education and an analysis of the theoretical influence on academic research. The theoretical contribution and the most influential authors were examined to better understand the intellectual structure that links the theories and authors that…

This classroom technology pilot explored the ways in which three different tools yielded insights into instructors' and students' use of physical classroom space in a higher education environment. The tools of interest were a ceiling heatmap camera from Panasonic, small ultrawideband movement trackers from Pozyx, and an audio sensor from TSI. The…

Incivility in the academic arena elicits a wide range of reactions: it interferes with learning, increases stress, feelings of disrespect and helplessness. Although reactions to incivility were mainly tested in workplaces, an extensive, robust framework to explain and measure responses to faculty incivility (FI) is yet to be offered. This study…

Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…

The dimensionality of a set of items is important for scale development. In practice, tools that make use of eigenvalues are often used to assess dimensionality. Parallel analysis is featured here as it is becoming an increasingly popular method for assessing the number of dimensions, and computational tools have recently been made available which…

School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…

A cross-national comparison was conducted between U.K. and U.S. higher education students on the Test Anxiety Measure for College Students (TAM-C). The TAM-C was administer to 1,776 U.K. and U.S. higher education students online. The results of tests of measurement invariance found the TAM-C invariant across country and gender. In addition,…

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.…

Purpose: The purpose of this paper is to review the dimensions of service quality used in different countries across the world, especially in the higher education sector. Design/methodology/approach: Content analysis is used to get a comprehensive insight of the studies accumulated from some of the selected databases such as Emerald Insight, Ebsco…

The purpose of this study is to compare alternative multidimensional scaling (MDS) methods for constraining the stimuli on the circumference of a circle and on the surface of a sphere. Specifically, the existing MDS-T method for plotting the stimuli on the circumference of a circle is applied, and its extension is proposed for constraining the…