Increasing enrollment in undergraduate and graduate economics courses that focus on the natural world (natural resource, environmental, energy, and mineral economics) is important for preparing a work force capable of addressing complex environmental issues. This is especially challenging for smaller universities that want to offer diverse…

Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…

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…

The purpose of this study to assess communication channels as implementation determinants of performance management framework In Kenya at Moi Teaching and Referral Hospital (MTRH). The communication theory was used to inform the study. This study adopted an explanatory design. The target sampled 510 respondents through simple random and stratified…

While researchers have examined how disciplinary and departmental cultures influence instructional practices in higher education, there has yet to be an examination of this relationship at the embodied level of culture. In this article we utilize cultural models theory to examine the theories of student learning and teaching practice espoused and…

Making decisions over multivariate time series is an important topic which has gained significant interest in the past decade. A time series is a sequence of data points which are measured and ordered over uniform time intervals. A multivariate time series is a set of multiple, related time series in a particular domain in which domain experts…

This article investigates downgrading from the highest level of secondary education in The Netherlands. "Downgrading" is defined as continuation of secondary education at a lower level. We conduct a longitudinal case study of downgrading in the first 3 years of a secondary school. Univariate and multivariate statistical analyses are…

Korean Americans (KAs) have low screening rates for cancer and are often not well informed about their chronic diseases. Reduced access to health-related information is one reason for gaps in knowledge and the widening health disparities among minority populations. However, little research exists about KAs' health information seeking behaviors.…

In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…

In Less Developed Countries (LDCs), most graduates from higher institutions of learning are absorbed in the informal sector and/or micro and small enterprises. Knowledge development through training, research and experiential learning may lead to creating or discovering new knowledge/technology or creating new value, by applying…

In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…

This study investigated the longitudinal development of L2 vocabulary by 17 individual adult L2 learners in an English as a second language (ESL) instructed context over one academic year, combining a longitudinal case study design with two cross-sectional comparisons in order to enhance (a) detailed documentation addressing the idiosyncrasy of L2…

We discuss aspects of multivariate fMRI modeling, including the statistical evaluation of multivariate models and means for dimensional reduction. In a case study we analyze linear and non-linear dimensional reduction tools in the context of a "mind reading" predictive multivariate fMRI model.

This technical report, produced in partnership by the Council for Advancement and Support of Education (CASE) and SPSS Inc., explores the promise of data mining alumni records at educational institutions. Working with individual alumni records from The Johns Hopkins Zanvyl Krieger School of Arts and Sciences, a predictive regression model is…

Makes the case that hierarchical linear models or longitudinal multilevel models are a better alternative than standard regression models for empirical tests of predictive developmental hypotheses. Describes a multivariate longitudinal model linking developmental data to a criterion and presents an example from a study of the prediction of infant…