Inspired by the 2017 Big Ten Academic Alliance Library Conference's collective collection theme, the authors undertook a study to better understand the consortium's resource-sharing needs for Spanish and Portuguese materials published in Latin America. The authors employed multiple technologies to expedite gathering, reconciling, and analyzing…

Reproducibility crises have arisen in psychology and other behavioral sciences, spurring efforts to ensure research findings are credible and replicable. Although reforms are occurring at professional levels in terms of new publication parameters and open science initiatives, the credibility and reproducibility of undergraduate research deserves…

Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…

There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this…

Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM…

The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…

Few studies have explored approaches to teaching qualitative data analysis software (QDAS). As more researchers rely on self-teaching, more research into best practices for developing QDAS expertise is warranted. In this paper, we report our experience using the Five-Level QDA® method to guide the design of an introductory ATLAS.ti workshop. By…

Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…

This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and…

The primary objective of the Remote Mentoring of Undergraduate Research Students (ReMentURS) workshop series is to design a remotely available professional development training that will provide rigorous research concept and skills introduction to incoming undergraduate research students. This pilot run eight-week remote learning workshop series…

Recent calls to reform undergraduate biology education, including Vision and Change in Undergraduate Biology Education, have led biology departments to examine their curriculum to determine the extent to which it aligns with Vision and Change content and competency recommendations. The recently released BioSkills Guide translates the broad Vision…

Geographic technologies and perspectives are important for understanding health issues because places and locations influence human health and diseases. Despite the increasing use of a geographic information system (GIS) in health research, and the explosion of new and emerging technologies, little is known about their potential as educational…

In this dissertation, I empirically investigate the changes in the market structure after new entrants, and how these changes affect the welfare of market participants. In Chapter 1, using records for public and charter schools in New York City, I empirically show that public schools adjusted after charter schools entered the neighborhood. I…

This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…

We argue that the development of statistical literacy is greatly supported by engaging students in carrying out statistical investigations. We describe the use of driving questions and interesting contexts to motivate two statistical investigations. The PPDAC cycle is use as an organizing framework to support the process statistical investigation.