Outdoor Education (OE) and Experiential Education (EE) programs are becoming increasingly popular in Victorian schools. This article is derived from findings that emerged through the interpretation of case study data gathered for my doctoral thesis of a three-phased, non-residential, EE program. This interpretation process highlighted five themes,…

Salivary cortisol is often used as an index of physiological and psychological stress in exercise science and psychoneuroendocrine research. A primary concern when designing research studies examining cortisol stems from the high cost of analysis. Planned missing data designs involve intentionally omitting a random subset of observations from data…

Type I error rates in multiple regression, and hence the chance for false positive research findings, can be drastically inflated when multiple regression models are used to analyze data that contain random measurement error. This article shows the potential for inflated Type I error rates in commonly encountered scenarios and provides new…

This article describes a computational project designed for undergraduate students as an introduction to mathematical modeling. Students use an ordinary differential equation to describe fish weight and assume the instantaneous growth rate depends on the concentration of dissolved oxygen. Published laboratory experiments suggest that continuous…

Introduction: The term "information" in information science does not share the characteristics of those of a nomenclature: it does not bear a generally accepted definition and it does not serve as the bases and assumptions for research studies. As the data deluge has arrived, is the concept of information still relevant for information…

This report describes a model for mapping cognitive structures related to content knowledge for teaching. The model consists of knowledge elements pertinent to teaching a content domain, the nature of the connections among them, and a means for representing the elements and connections visually. The model is illustrated through empirical data…

The purpose of this study was to examine pregnant women's substance use from initial use, to recognition of problem severity, motivations for treatment, and ultimately to treatment entry. The sample consisted of 114 pregnant women receiving inpatient detoxification treatment at the University of Kentucky Chandler Medical Center. Qualitative and…

Annotations play an increasingly crucial role in scientific exploration and discovery, as the amount of data and the level of collaboration among scientists increases. There are many systems today focusing on annotation management, querying, and propagation. Although all such systems are implemented to take user input (i.e., the annotations…

Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and…

The volume of information generated by healthcare providers is growing at a relatively high speed. This tremendous growth has created a gap between knowledge and clinical practice that experts say could be narrowed with the proper use of healthcare data to guide clinical decisions and tools that support rapid information availability at the…

The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluation was developed through previously explored simulated analyses of DGs performed by researchers in the field of DG scheduling optimization and to improve the current RT framework of the DG at TTU. The author analyzed the RT of an actual DG, thereby…

The various tools available on Web 2.0 enable the interactions in a Community of Practice (CoP) to be optimized and may discourage the participation of members. Thus, the choice of the tools is fundamental for the growth and maintenance of a CoP. With a focus on this and, from the analysis of the characteristics of the group and the activities…

We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model…

A primary goal of assessment is to deliver truthful and clear information that can be used to inform and improve outcomes. Although there are multiple ways to achieve this goal, common approaches can be broken down into two major categories: (1) direct assessment; and (2) indirect assessment. Indirect assessment typically relies on general…

This mixed method study mainly explored how the extent of pre-service chemistry teachers' understanding of the particle nature of matter (PNM) affects their understanding of solution chemistry in the context of multirepresentational (MR) instruction. The ultimate goal was to describe the levels of understanding of specific solution chemistry…