Digital Commons Network^™

Repository Additions, December 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For December 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Ethical Consistency And Experience: An Attempt To Influence Researcher Attitudes Toward Questionable Research Practices Through Reading Prompts, Samuel V. Bruton, Mitch Brown, Donald F. Sacco

Faculty Publications

Over the past couple of decades, the apparent widespread occurrence of Questionable Research Practices (QRPs) in scientific research has been widely discussed in the research ethics literature as a source of concern. Various ways of reducing their use have been proposed and implemented, ranging from improved training and incentives for adopting best practices to systematic reforms. This article reports on the results of two studies that investigated the efficacy of simple, psychological interventions aimed at changing researcher attitudes toward QRPs. While the interventions did not significantly modify researchers’ reactions to QRPs, they showed differential efficacy depending on scientists’ experience, suggesting …

Inference Of Heterogeneity In Meta-Analysis Of Rare Binary Events And Rss-Structured Cluster Randomized Studies, Chiyu Zhang

Statistical Science Theses and Dissertations

This dissertation contains two topics: (1) A Comparative Study of Statistical Methods for Quantifying and Testing Between-study Heterogeneity in Meta-analysis with Focus on Rare Binary Events; (2) Estimation of Variances in Cluster Randomized Designs Using Ranked Set Sampling.

Meta-analysis, the statistical procedure for combining results from multiple studies, has been widely used in medical research to evaluate intervention efficacy and safety. In many practical situations, the variation of treatment effects among the collected studies, often measured by the heterogeneity parameter, may exist and can greatly affect the inference about effect sizes. Comparative studies have been done for only one or …

Contributions To Variable Selection In Complexly Sampled Case-Control Models, Epidemiology Of 72-Hour Emergency Department Readmission, And Out-Of-Site Migration Rate Estimation Using Pseudo-Tagged Longitudinal Data, Kyle Anderson

Computational and Data Sciences (PhD) Dissertations

This work consists of three different projects.

In the first project, I analyze complexly sampled survey data, representative of the US population, to determine what lifestyle behaviors and notions held by participants are most significant with having had a cancer diagnosis. A logistic regression model was built using automatic variable selection with forward selection with backwards elimination. Our results show that sunscreen usage, level of agreeing with the statement "behaviors can affect high blood pressure", age, intent to eat more or less fruit, average daily hours spent watching tv or playing video games, and level of agreeing with the statement …

Repository Additions, November 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For November 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Recommending Privacy Settings For Internet-Of-Things, Yangyang He

All Dissertations

Privacy concerns have been identified as an important barrier to the growth of IoT. These concerns are exacerbated by the complexity of manually setting privacy preferences for numerous different IoT devices. Hence, there is a demand to solve the following, urgent research question: How can we help users simplify the task of managing privacy settings for IoT devices in a user-friendly manner so that they can make good privacy decisions?

To solve this problem in the IoT domain, a more fundamental understanding of the logic behind IoT users’ privacy decisions in different IoT contexts is needed. We, therefore, conducted a …

Increasing Bullying Awareness In Elementary School Special Needs Students, Maria Olvera

Capstone Projects and Master's Theses

Students with learning disabilities are two to three times more likely to be bullied than nondisabled peers (Banks, 2009). Students in special education need to be continually taught to identify the signs of being bullied and when to speak up to an adult if they are being bullied due to them being a hire target. It is important to teach students about expressing their feelings and identify common bully characteristics. Students with disabilities are already addressing challenges in the academic environment. There are many risks that can develop from a special needs child who is not reporting bullying at school …

Digitalcommons@Cedarville Statistical Report For October 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, October 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Fractional Random Weighted Bootstrapping For Classification On Imbalanced Data With Ensemble Decision Tree Methods, Sean Charles Carter

USF Tampa Graduate Theses and Dissertations

Ensemble methods are commonly used for building predictive models for classification. Models that are unstable to perturbations in the training set, such as the decision tree, often see considerable reductions in error when grouped, using bootstrapped resamples of the training data to train many models. The non-parametric bootstrap, however, has limited efficacy when used on severely imbalanced data, especially when the number of observations of one or more classes is exceptionally small. We explore the fractional random weighted bootstrap, which randomly assigns fractional weights to observations, as an alternative resampling pro cedure in training machine learning ensembles, particularly decision tree …

Ecology And Conservation Of Immature Sea Turtles Across Multiple Scales, Lucas Griffin

Doctoral Dissertations

Considering many sea turtle populations are a fraction of their historic size and anthropogenic threats within the marine environment are increasing, additional data are imperative to help mitigate anthropogenic disturbances and to build resilience into sea turtle populations. In this dissertation, I present three data chapters focused on immature sea turtle ecology and conservation. These chapters evaluate sea turtle ecology and conservation at varying scales, ranging from mitigating human-wildlife interactions at the individual level, to coastal movements and space use at the ecosystem level, and to large scale climate change impacts at the population level. Ultimately, these chapters provide a …

Digging For Data: Lesson, Katie Alphenaar

Lesson Plans

This lesson will introduce students to statistical databases where they can find “hard data.” They will practice using these databases by finding datasets, tables, or graphs for practice research questions.

Three Year Trend In Interlibrary Loan Requests, David Goolabsingh

Southern Chapter/Medical Library Association Annual Conference

Objective: Background: In response to the National Library of Medicine's (NLM) ILL service increase from $9 to $12, and in preparation for an upcoming retreat discussion in April 2018, the Consortium of Southern Biomedical Libraries (CONBLS) polled its 21 member libraries for ILL fills and borrows to and from other CONBLS libraries for calendar years 2016 and 2017.

Methods: To analyze three years of data, 2018 ILL statistics was requested from CONBLS libraries and permission was obtained to use it and the previously collected 2016 and 2017 ILL CONBLS statistics for this poster. Data was combined in Excel and analyzed …

Repository Additions, September 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For September 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

New Mexico Health Care Workforce Committee 2019 Annual Report, University Of New Mexico - Health Sciences Center

New Mexico Health Care Workforce Committee (2013-ongoing)

Each year the New Mexico Health Care Workforce Committee studies the supply and distribution of health care providers in order to provide a report to the Legislature by October 1. The committee also makes recommendations for improving recruitment and retention of providers in New Mexico's rural and under served areas.

Annual Report 2018-2019, Tennessee. Bureau Of Investigation.

Annual Report

No abstract provided.

Finding Data And Statistics On Judges, Leslie A. Street

Leslie A. Street

No abstract provided.

9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association

Annual Postdoctoral Science Symposium Abstracts

The mission of the Annual Postdoctoral Science Symposium (APSS) is to provide a platform for talented postdoctoral fellows throughout the Texas Medical Center to present their work to a wider audience. The MD Anderson Postdoctoral Association convened its inaugural Annual Postdoctoral Science Symposium (APSS) on August 4, 2011.

The APSS provides a professional venue for postdoctoral scientists to develop, clarify, and refine their research as a result of formal reviews and critiques of faculty and other postdoctoral scientists. Additionally, attendees discuss current research on a broad range of subjects while promoting academic interactions and enrichment and developing new collaborations.

The Effectiveness Of Measures To Increase Appellate Court Efficiency And Decision Output, Thomas B. Marvell, Carlisle E. Moody

Carlisle Moody

This Article will examine the effectiveness of measures commonly employed to increase appellate court productivity. Part I of the Article sets forth some common design problems and explains how the research technique employed in the present study avoids these problems by using a multiple time-series research design. Part II applies this design to state court data. Part II also describes the dependent variable, the number of appeals decided per judge, used in the regression analysis. Part III discusses the results of that analysis-the impact of each change listed above on judicial productivity. The Article, although not advocating the adoption of …

Digitalcommons@Cedarville Statistical Report For August 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, August 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, July 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For July 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Sample Size Requirements And Considerations For Models To Assess Human-Machine System Performance, Jennifer S. G. Lopez

Theses and Dissertations

Hierarchical Linear Models (HLMs), also known as multi-level models, are an extension of multiple regression analysis and can aid in the understanding of human and machine workloads of a system. These models allow for prediction and testing in systems with hierarchies of two or more levels. The complex interrelated variability of these multi-level models exists in operational settings, such as the Air Force Distributed Common Ground System Full Motion Video (AF DCGS FMV) community which is composed of individuals (Level-1), groups (Level-2), units (Level-3), and organizations (Level-4). Through the development of sample size requirements and considerations for multi-level models, this …

Stability And Application Of The K-Core Dynamical Model To Biological Networks, Francesca Beatrice Arese Lucini

Dissertations, Theses, and Capstone Projects

The objective of the dissertation is to illustrate the importance of the k-core dynamical model, by first presenting the stability analysis of the nonlinear k-core model and compare its solution to the most widely used linear model. Second, I show a real world application of the k-core model to describe properties of neural networks, specifically, the transition from conscious to subliminal perception.

Who Can Act? Critical Assumptions At The Foundations Of Statistical Analysis, Peter J. Taylor

Working Papers on Science in a Changing World

Thinking about a simple teaching example on the t-test for comparing the average (mean) for some measurement in a group versus the average in another led me to articulate a sequence of thoughts and questions about the foundations of statistical analysis. In particular, my inquiry explores contrasts between: the statistical emphasis on averages or types around which there is variation or noise; variation as a mixture of types; the dynamics (or heterogeneous mix of dynamics) that generated the data analyzed; and participatory restructuring of these dynamics in the future. Two key issues are: Who is assumed to be able to …

Acquisitions Unit Annual Report 2018-2019, Andrée J. Rathemacher

Technical Services Reports and Statistics

Annual Report of the Acquisitions Unit, University Libraries, University of Rhode Island for FY2019. Covers personnel, work flow, special projects, and serial, monograph, and e-resource acquisitions. Supplemental files include data on library materials expenditures by a number of variables as well as important working documents from the year.