Digital Commons Network^™

Digitalcommons@Cedarville Statistical Report For December 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, December 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick

Rebecca Mirick

Best Practice To Accurately Collect, Review, And Present Eresource Data That Is Utilized By Libraries In A University Setting, Matt W. Marcukaitis

Student Scholarship – Computer Science

This report compares a manual process to a semi-automated process (SUSHI) for collect eResource statistical data for a university library. Along the way with the discussion will show the need for statistical data for an organization. Also, the reason for utilizing an open source software CORAL to help with the SUSHI process. Finally concluding with a recommendation as how to proceed after the findings.

A Statistical Study Of Student Success In The Bgsu Honors College, Sarah Hercules

Honors Projects

Higher education has long tried to find the best measures to predict student success. Different colleges often have different guidelines, requiring different criteria to be evaluated. The BGSU Honors College has struggled with retention and recruitment of underrepresented students with their current admission criteria. This analysis studies different measures of student success such as BGSU GPA and number of completed Honors credits for high-achieving BGSU students who enrolled from Fall 2013 through Fall 2016 to find the best predictors of student success through regression analysis. Throughout this paper, the impact of ethnicity, gender, the college of a student’s program, high …

The Most Important Statistics In Football, Jacob Holmen

Essential Studies UNDergraduate Showcase

This research is based on the Five Factors that were devised by Bill Connelly of SBNation. The Five Factors of football include Explosiveness, Efficiency, Field Position, Finishing Drives, and Turnovers. Each factor is composed of associated statistics that when put together make up the most important statistics in football. This research includes the analysis of all 857 FBS (the highest level of NCAA Division I football) games from the 2016 season. Data was analyzed through the use of an Excel spreadsheet. Five different statistics were looked at, each associated with one of the Five Factors. The statistics include Yards per …

Analytics And Baseball's New Generation, John Roche

Essential Studies UNDergraduate Showcase

Major League Baseball has been a catalyst for making decisions in sports and competition from a purely mathematical viewpoint. We have seen teams utilize unique on-field player alignments and roster-building strategies based on statistical observations and applications of math. This project examines the advantages Sabermetrics and analytics present within the sport. Untapped statistical categories that could further the success of teams in the future is also briefly discussed.

The Dli Goes To College, Donna Sevenpifer

Presentations

Statistics Canada offers yearly regional training to post secondary institutions who are participating members of the Data Liberation Initiative (DLI). Library personnel who act as DLI delegates for their institutions learn how to gain access to statistics and data products and disseminate this information to researchers. This conference presentation focuses on Fanshawe College, the first Ontario college to join the DLI in 2008.

Repository Additions, November 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For November 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Bayesian Model For Detection Of Outliers In Linear Regression With Application To Longitudinal Data, Zahraa Al-Sharea

Graduate Theses and Dissertations

Outlier detection is one of the most important challenges with many present-day applications. Outliers can occur due to uncertainty in data generating mechanisms or due to an error in data recording/processing. Outliers can drastically change the study's results and make predictions less reliable. Detecting outliers in longitudinal studies is quite challenging because this kind of study is working with observations that change over time. Therefore, the same subject can produce an outlier at one point in time produce regular observations at all other time points. A Bayesian hierarchical modeling assigns parameters that can quantify whether each observation is an outlier …

Current Research And Statistical Practices In Sport Science And A Need For Change, Jake R. Bernards, Kimitake Sato, G. Gregory Haff, Caleb D. Bazyler

ETSU Faculty Works

Current research ideologies in sport science allow for the possibility of investigators producing statistically significant results to help fit the outcome into a predetermined theory. Additionally, under the current Neyman-Pearson statistical structure, some argue that null hypothesis significant testing (NHST) under the frequentist approach is flawed, regardless. For example, a p-value is unable to measure the probability that the studied hypothesis is true, unable to measure the size of an effect or the importance of a result, and unable to provide a good measure of evidence regarding a model or hypothesis. Many of these downfalls are key questions researchers strive …

Wright State University Men's Basketball Media Guide 2017-2018, Wright State University Athletics

Athletics Publications

A media guide for Wright State University's 2017-2018 Men's Basketball team. This guide includes photographs, player stats, game results, and records.

Teaching Introductory Statistics To Graduate Students In The Social Sciences: A Mixed Method Investigation Of The Effectiveness Of Simulations In Statistics Education, Liuli Huang

LSU Doctoral Dissertations

The primary purpose of this study is to determine the effectiveness of using simulations as an instructional tool in an introductory doctoral level statistics course. The study focuses on the impacts of simulations on students’ attitudes and understanding of statistical concepts, as well as how the simulations could inspire students’ positive attitudes and improve statistics performance or would fail to help. In addition, since the statistics anxiety has been a primary obstacle to students’ statistics education, and “statistics anxiety” is experienced by as many as 80% of graduate students (Onwuegbuzie, 2004). The researcher is interested to explore the details of …

Wright State University Women's Basketball Media Guide 2017-2018, Wright State University Athletics

Athletics Publications

A media guide for Wright State University's 2017-2018 Women's Basketball team. This guide includes photographs, player stats, game results, and records.

Repository Additions, October 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For October 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Nsuworks Annual Report 2015-2016, Michele Gibney

Michele Gibney

In 2014 Nova Southeastern University celebrated its 50th Anniversary. In conjunction with the anniversary, the NSU Libraries determined a need to preserve the past, present and future of the university by creating a campus wide repository for all scholarship, creative work, and historical materials produced by the university. NSUWorks is a part of the NSU Libraries’ contribution to the university’s ongoing growth and success as an internationally recognized research institution. NSUWorks was officially launched at the Dean’s Meeting on November 2014, and reached its two year anniversary at the end of February 2016. The NSUWorks Annual Report covers the period …

Defining Data Science And Data Scientist, Dana M. Dedge Parks

USF Tampa Graduate Theses and Dissertations

The world’s data sets are growing exponentially every day due to the large number of devices generating data residue across the multitude of global data centers. What to do with the massive data stores, how to manage them and defining who are performing these tasks has not been adequately defined and agreed upon by academics and practitioners. Data science is a cross disciplinary, amalgam of skills, techniques and tools which allow business organizations to identify trends and build assumptions which lead to key decisions. It is in an evolutionary state as new technologies with capabilities are still being developed and …

Luna Gsa Fall 2017 Poster.Pptx, Melissa Luna

Melissa Luna

Digitalcommons@Cedarville Statistical Report For September 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, September 2017, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

New Mexico Health Workforce Committee October 2017, 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.

Quantifying Certainty: The P-Value, Dominic Klyve

Statistics and Probability

No abstract provided.

2017-2018 Statistics, Cedarville University

Volleyball Statistics

No abstract provided.

2017 Men's Soccer Statistics, Cedarville University

Men's Soccer Statistics

No abstract provided.

Fy2016 Integrated Postsecondary Education Data System (Ipeds) Academic Libraries Survey: University Of Rhode Island Data, Michael C. Vocino

University Libraries Reports & Statistics

A report generated from the online subscription service ACRLMetrics. The report contains FY2016 data as submitted by the University of Rhode Island Libraries for the ACRL Annual Survey, which as of 2015 was integrated with the IPEDS survey. The data here are those that were provided to URI's Office of Institutional Research for submission to NCES.

Acrl Peer Comparison For University Of Rhode Island Libraries, 2012-2016, Andrée J. Rathemacher

University Libraries Reports & Statistics

Comparison of the University of Rhode Island Libraries with peer institutions (as defined by the University's Office of Institutional Research). Data used are from the Association of College and Research Libraries (ACRL) Statistical Survey covering fiscal years ending 2012-2016. Metrics compared are: total library expenditures, total library materials/services expenditures, ongoing commitments to subscriptions, one-time resource purchases, total professional staff salaries & wages, all other paid staff salaries & wages, professional staff (fte), all other paid staff (fte), gate count (annual), initial circulation - physical, student population, total library expenditures per student, and total library materials expenditures per student.

Fy2016 Association Of College And Research Libraries (Acrl) Statistical Survey: University Of Rhode Island Data, Michael C. Vocino

University Libraries Reports & Statistics

The main document posted here is a report generated from the online subscription service ACRLMetrics. The report contains FY2016 data as submitted by the University of Rhode Island Libraries for the 2016 Association of College and Research Libraries (ACRL) Annual Survey. Several files are included as supplemental content, including the data in spreadsheet format, the survey instructions, an FAQ document, the blank survey form, and the survey form filled out as submitted.

Alma Link Resolver Title & Issn Report (Top 500) 2016-2017, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2016-2017 on the total number of OpenURL requests by journal title and ISSN made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries. Includes only the top 500 journals.

Information provided includes journal Title, ISSN, EISSN, Number of Requests, Number of Clicked Requests, % Clicks from Requests.