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Full-Text Articles in Social and Behavioral Sciences

A Database Of Two-Dimensional Images Of Footwear Outsole Impressions, Soyoung Park, Alicia L. Carriquiry Jun 2020

A Database Of Two-Dimensional Images Of Footwear Outsole Impressions, Soyoung Park, Alicia L. Carriquiry

CSAFE Publications

Footwear outsole images were obtained from 150 pairs of used shoes. The motivation for constructing the database was to enable a statistical analysis of two-dimensional (2D) images of shoe outsoles, to understand within shoe (between replicate images of the same shoe) and between shoe variability, and to develop methods for the evaluation of forensic pattern evidence of shoeprints. Since we scanned the outsole of the used shoes, the images capture not only the outsole pattern design but also the marks that arise from wear and tear and that may help identify the shoe that made the impression. Each shoe in ...


Repository Additions, April 2020, Cedarville University May 2020

Repository Additions, April 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Digitalcommons@Cedarville Statistical Report For April 2020, Cedarville University May 2020

Digitalcommons@Cedarville Statistical Report For April 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Social Research (Soc 3070) Final Research Project, Jurgita Abromaviciute, Emily K. Carian Apr 2020

Social Research (Soc 3070) Final Research Project, Jurgita Abromaviciute, Emily K. Carian

Q2S Enhancing Pedagogy

This article describes a final research project for use in social research and/or sociology methods courses. The assessment is based in principles of project-based, cooperative, and process-oriented learning. The article includes a summary of the pedagogical frameworks that guide the assessment; a description of the assessment; instructions, rubrics, and materials for use in the classroom; and a plan for instructors to evaluate the effectiveness of the assessment.


Digitalcommons@Cedarville Statistical Report For March 2020, Cedarville University Apr 2020

Digitalcommons@Cedarville Statistical Report For March 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Repository Additions, March 2020, Cedarville University Apr 2020

Repository Additions, March 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice Apr 2020

Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice

Senior Theses

The goal of this thesis is to model the probability of a high school football player’s chance of being drafted based on information taken from their recruiting profile. The response variable is binary and defined as drafted (1) or undrafted (0). The independent variables were collected by scraping data from the recruiting websites including height, weight, position, hometown, recruiting grade and other socioeconomic factors based on the player’s high school. 247Sports and ESPN were the two recruiting services used and compared in this study. Because of the binary nature of the dependent variable, logistic regression and decision trees ...


Eeg Reinvestigations Of Visual Statistical Learning For Faces, Scenes, And Objects, Mei Grace Behrendt, P. Cheng Lim, Aaron T. Halvorsen, Karl Kuntzelman, Matthew R. Johnson Apr 2020

Eeg Reinvestigations Of Visual Statistical Learning For Faces, Scenes, And Objects, Mei Grace Behrendt, P. Cheng Lim, Aaron T. Halvorsen, Karl Kuntzelman, Matthew R. Johnson

UCARE Research Products

The objective of this ongoing, replication study is to understand temporal and spatial patterns in our environment by using the technique of electroencephalography (EEG). Visual statistical learning (VSL) helps us to understand conditional probabilities from our environments. This concept is why we know that chairs are located under tables, not above. The goal of this study is to understand whether participants can unconsciously associate pairs of items (faces, scenes, and objects) from their short-term memory. Strong pairs become more similar to each other, as compared to weak pairs, which become less similar. In the main task, participants saw items appear ...


Repository Additions, February 2020, Cedarville University Mar 2020

Repository Additions, February 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Digitalcommons@Cedarville Statistical Report For February 2020, Cedarville University Mar 2020

Digitalcommons@Cedarville Statistical Report For February 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


The Importance Of Type I Error Rates When Studying Bias In Monte Carlo Studies In Statistics, Michael Harwell Feb 2020

The Importance Of Type I Error Rates When Studying Bias In Monte Carlo Studies In Statistics, Michael Harwell

Journal of Modern Applied Statistical Methods

Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.


Criminal Justice Bias : Fact Or Fiction, Hiba Mobarak Feb 2020

Criminal Justice Bias : Fact Or Fiction, Hiba Mobarak

Quest

Objective Analysis

Research in progress for CRIJ 1301: Introduction to Criminal Justice

Faculty Mentor: Stefanie LeMaire

The following paper represents work produced by a student in an Introduction to Criminal Justice course at Collin College. The paper is an objective analysis of prominent research regarding potential police biases and how officers’ decisions may be influenced by a suspect’s race. The topic of racial bias within policing is quite controversial, as evidenced by the community protests, media coverage, and destruction that has ensued after officer-involved shootings. This assignment asks students to objectively review scholarly research on police bias and constructively ...


Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach Feb 2020

Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach

Faculty Scholarship at Penn Law

Event studies, a half-century-old approach to measuring the effect of events on stock prices, are now ubiquitous in securities fraud litigation. In determining whether the event study demonstrates a price effect, expert witnesses typically base their conclusion on whether the results are statistically significant at the 95% confidence level, a threshold that is drawn from the academic literature. As a positive matter, this represents a disconnect with legal standards of proof. As a normative matter, it may reduce enforcement of fraud claims because litigation event studies typically involve quite low statistical power even for large-scale frauds.

This paper, written for ...


Repository Additions, January 2020, Cedarville University Feb 2020

Repository Additions, January 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Digitalcommons@Cedarville Statistical Report For January 2020, Cedarville University Feb 2020

Digitalcommons@Cedarville Statistical Report For January 2020, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Dubious Data And Difficult Conversations: Review Of No Bs (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, By Ivory A. Toldson., Joel Best Jan 2020

Dubious Data And Difficult Conversations: Review Of No Bs (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, By Ivory A. Toldson., Joel Best

Numeracy

Ivory A. Toldson. 2019. No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear about Black People; (Boston, Brill). Paperback ISBN 978-90-04-39702-6. E-book ISBN 978-90-04-39704-0.

Ivory A. Toldson is a professor of Counseling Psychology at Howard University and the current editor-in-chief of the Journal of Negro Education (founded in 1932), and offers an unapologetic critique of how statistical malpractice has misrepresented the situation of Blacks in the United States. Readers of Numeracy should find his examples and analysis both interesting and thought-provoking.




The Author’S Reflections On No B.S. (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, Ivory A. Toldson Jan 2020

The Author’S Reflections On No B.S. (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, Ivory A. Toldson

Numeracy

Toldson, Ivory. A. 2019. No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People (Boston, MA: Brill-Sense) 194 pp. ISBN 978-9004397026.

This essay provides an introduction to No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People. In the essay, the author discusses how cynical views about the educational potential of Black children motivated him to write a book that challenges negative statistics. The essay also outlines the harmful consequences ...


Digitalcommons@Cedarville Statistical Report For December 2019, Cedarville University Dec 2019

Digitalcommons@Cedarville Statistical Report For December 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Repository Additions, December 2019, Cedarville University Dec 2019

Repository Additions, December 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Usage Statistics: Project Counter R4 Journal Report 1 (Jr1) 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Journal Report 1 (Jr1) 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Journal Report 1 (JR1) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Journal Report 1 is defined as "Number of Successful Full-Text Article Requests by Month and Journal." This report presents an annual total only.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 1,055,792 successful full-text article requests for 30,329 reported titles.


Usage Statistics: Project Counter R4 Book Report 1 (Br1) By Title 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Book Report 1 (Br1) By Title 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Book Report 1 (BR1) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Book Report 1 is defined as "Number of Successful Title Requests by Month and Title." This report presents an annual total only.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 506 title requests from 454 titles.


Usage Statistics: Project Counter R4 Database Report 1 (Db1) 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Database Report 1 (Db1) 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Database Report 1 (DB1) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Database Report 1 is defined as "Total Searches, Result Clicks and Record Views by Month and Database." This report presents an annual total only.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 817,969 regular searches, 412,951 result clicks, and 251,573 record views for 345 reported databases.


Usage Statistics: Project Counter R4 Book Report 2 (Br2) By Platform 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Book Report 2 (Br2) By Platform 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Book Report 2 (BR2) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Book Report 2 is defined as "Number of Successful Section Requests by Month and Title." This report presents an annual total only, by platform.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 119,275 successful section requests for 63 reported platforms.


Usage Statistics: Project Counter R4 Book Report 1 (Br1) By Platform 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Book Report 1 (Br1) By Platform 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Book Report 1 (BR1) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Book Report 1 is defined as "Number of Successful Title Requests by Month and Title." This report presents an annual total only, by platform.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 506 successful title requests for 8 reported platforms.


Usage Statistics: Project Counter R4 Book Report 2 (Br2) By Title 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Book Report 2 (Br2) By Title 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Book Report 2 (BR2) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Book Report 2 is defined as "Number of Successful Section Requests by Month and Title." This report presents an annual total only.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 119,275 successful section requests for 9,528 reported titles.


Usage Statistics: Project Counter R4 Platform Report 1 (Pr1) 2018-2019, Andree Rathemacher Dec 2019

Usage Statistics: Project Counter R4 Platform Report 1 (Pr1) 2018-2019, Andree Rathemacher

Technical Services Reports and Statistics

Project COUNTER R4 Platform Report 1 (PR1) for the University of Rhode Island for the period from July 1, 2018 - June 30, 2019. Platform Report 1 is defined as "Total Searches, Result Clicks and Record Views by Month and Platform." This report presents an annual total only.

File for download is Excel spreadsheet generated by Alma Analytics.

Results: 360,929 regular searches, 14,051 federated searches, 470,369 result clicks, and 283,037 record views for 80 reported platforms.


Repository Additions, November 2019, Cedarville University Dec 2019

Repository Additions, November 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Digitalcommons@Cedarville Statistical Report For November 2019, Cedarville University Dec 2019

Digitalcommons@Cedarville Statistical Report For November 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Repository Additions, October 2019, Cedarville University Nov 2019

Repository Additions, October 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.


Digitalcommons@Cedarville Statistical Report For October 2019, Cedarville University Nov 2019

Digitalcommons@Cedarville Statistical Report For October 2019, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.