Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Community Corrections (2)
- Actuarial Risk Assessment (1)
- Actuarial Risk Assessment Tool (1)
- Algorithm (1)
- Bag of Words (1)
-
- Bail (1)
- Bayesian analysis (1)
- Bond (1)
- Bootstrap simulation (1)
- Campus climate (1)
- Clinical assessment (1)
- Depression (1)
- Developmental Disabilities (1)
- Employment (1)
- Filtering (1)
- Interviewer Evaluation (1)
- Item response theory (1)
- Jail (1)
- MITI (1)
- McLean County (1)
- Monotonicity (1)
- NLP (1)
- Naive Bayes (1)
- Ordinality (1)
- PHQ-9 (1)
- Presidential election forecast (1)
- Pretrial (1)
- Pretrial Release (1)
- Probability to win the White House. (1)
- Regression (1)
- Publication
- Publication Type
Articles 1 - 8 of 8
Full-Text Articles in Applied Statistics
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
Pretrial Release And Failure-To-Appear In Mclean County, Il, Jonathan Monsma
Pretrial Release And Failure-To-Appear In Mclean County, Il, Jonathan Monsma
Stevenson Center for Community and Economic Development—Student Research
Actuarial risk assessment tools increasingly have been employed in jurisdictions across the U.S. to assist courts in the decision of whether someone charged with a crime should be detained or released prior to their trial. These tools should be continually monitored and researched by independent 3rd parties to ensure that these powerful tools are being administered properly and used in the most proficient way as to provide socially optimal results. McLean County, Illinois began using the Public Safety Assessment-CourtTM (PSA-Court or simply PSA) risk assessment tool beginning in 2016. This study culls data from the McLean County Jail …
Using Data To Ignite And Sustain Employment Systems Change, Jean Winsor, Thinkwork! At The Institute For Community Inclusion At Umass Boston
Using Data To Ignite And Sustain Employment Systems Change, Jean Winsor, Thinkwork! At The Institute For Community Inclusion At Umass Boston
ThinkWork! Publications
No abstract provided.
Assessing The Ordinality Of Response Bias With Item Response Models: A Case Study Using The Phq-9, Venessa N. Singhroy
Assessing The Ordinality Of Response Bias With Item Response Models: A Case Study Using The Phq-9, Venessa N. Singhroy
Dissertations, Theses, and Capstone Projects
Improper scale usage in psychological and clinical assessment is an important problem. If respondents do not use the scales in a consistent manner, the reliability of a composite is likely to be attenuated. This is particularly problematic when particular items are singled out for special treatment or when subscales are of interest, not just a total score. This study used both non-parametric and parametric item response theory (IRT) methods to gain further insight into the validity of the PHQ-9, a dual purpose instrument that assesses the severity of depressive symptoms using nine Likert-scale items and allows the investigator to establish …
Motivational Interviewing Treatment Integrity (Miti), Himal Adhikari
Motivational Interviewing Treatment Integrity (Miti), Himal Adhikari
Criminal Justice Data
This report summarizes interview data collected using MITI, by the Stearns County Community Corrections. The 42 interviews of corrections clients were held between 2015 and 2017. They were examined to determine the effectiveness of interviewing techniques using criteria established on the MITI form. Overall effectiveness measures are given, as well as correlations among some of the quantitative measurements.
Working Relationship Between Clients And Agents At Stearns County Community Corrections, Catherine Fontana
Working Relationship Between Clients And Agents At Stearns County Community Corrections, Catherine Fontana
Criminal Justice Data
Stearns County Community Corrections surveyed its Clients for a month on the Client-Agent working relationship. The responses were on a 7-point scale with 1 being the lowest and 7 the highest. For ease of analysis, the responses were divided into low (1-3), medium (4-5) and high (6-7). The results were analyzed by question, program, age, gender, race, supervision time, and individual Agent. All results are available in table and graph form in the appendix. Lastly, Stearns County Community Corrections was compared to Ramsey County Community Corrections. Given the data available, a different categorization was used with low (1-3), medium (4), …
Predicting The Next Us President By Simulating The Electoral College, Boyan Kostadinov
Predicting The Next Us President By Simulating The Electoral College, Boyan Kostadinov
Journal of Humanistic Mathematics
We develop a simulation model for predicting the outcome of the US Presidential election based on simulating the distribution of the Electoral College. The simulation model has two parts: (a) estimating the probabilities for a given candidate to win each state and DC, based on state polls, and (b) estimating the probability that a given candidate will win at least 270 electoral votes, and thus win the White House. All simulations are coded using the high-level, open-source programming language R. One of the goals of this paper is to promote computational thinking in any STEM field by illustrating how probabilistic …
Campus Climate Sexual Assault Survey (2015) Analysis, Felicia Rosin
Campus Climate Sexual Assault Survey (2015) Analysis, Felicia Rosin
Williams Honors College, Honors Research Projects
The issue of sexual assault has garnered widespread attention in recent years, as is evident by the growing number of high-profile cases and mainstream social movements. With this increasingly bright spotlight, it is no surprise that The University of Akron has interest in improving the sexual violence education programs offered to students. In 2015, the university conducted a survey to gather information on the campus climate surrounding sexual assault. This analysis dives into a deeper analysis of the data gathered in an attempt to pinpoint areas that require the university’s attention. The analysis covers topics identified by Dean of Students …