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- March 2022
- Module Note
Exploratory Data Analysis
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....
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- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...
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- Article
Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas
By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200...
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- Article
Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study
By: Noy Alon, Ariel Dora Stern and John Torous
BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous...
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- Article
The Ownership and Trading of Debt Claims in Chapter 11 Restructurings
By: Victoria Ivashina, Benjamin Iverson and David C. Smith
What is the ownership structure of bankrupt debt claims? How does the ownership evolve though bankruptcy? And how does debt ownership influence Chapter 11 outcomes? To answer these questions, we construct a data set that identifies the entire capital structure for 136...
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- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic...
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- October 2006 (Revised January 2019)
- Background Note
Note on Student Outcomes in U.S. Public Education
By: Stacey M. Childress, Stig Leschly and John J-H Kim
Surveys educational outcomes among public school students in the United States. Educational outcomes are categorized as achievement outcomes (measured primarily by students' performance on standardized test results) and attainment outcomes (measured primarily by...
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- November 2003 (Revised December 2003)
- Background Note
Note on School Choice in U.S. Public Education
By: Stig Leschly
This note surveys school choice in the United States. School choice characterizes the school assignment of approximately 56% of U.S. school-aged children and, in order of popularity, can be categorized into seven types: residential choice, private schools, intra- and...
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