This research evaluates the psychometric properties of short-answer response items under a variety of grading rules in the context of a mobile learning platform in Africa. This work has three main findings. First, we introduce the concept of a differential device function (DDF), a type of differential item function that stems from the device a…

Education Leadership Data Analytics (ELDA) is an emerging domain that is centered at the intersection of education leadership, the use of evidence-based improvement cycles in schools to promote instructional improvement, and education data science. ELDA practitioners work collaboratively with school and district leaders and teachers to analyze,…

This document is comprised of two sections. The first self-guided tool is intended to support higher education organizational coaches in thinking meaningfully about how to incorporate key equity-minded coaching practices into their coaching roles. The second self-guided tool is intended to support Student Success Center leadership in thinking…

Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

This paper examines how international, large-scale skills assessments (ILSAs) engage with the broader societies they seek to serve and improve. It looks particularly at the discursive work that is done by different interest groups and the media through which the findings become part of public conversations and are translated into usable form in…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data of the…

Oregon's on-time graduation rate reached 75% in 2015-16, an increase of about 1% from the previous school year. The increase equates to more than 1,300 additional students earning their diploma compared to last year. Nearly all student groups saw an increase in their graduation rate, with Native Hawaiian/Pacific Islander, African American/Black,…

The acquisition of early literacy skills prior to school can positively influence later educational outcomes. However, children from culturally and economically disadvantaged backgrounds often lack stimulating educational activities at home. This analysis provides empirical evidence for 31 education systems on the association between parental…

The Office of Inspector General (OIG) works to promote efficiency, effectiveness, and integrity in the programs and operations of the U.S. Department of Education (Department). Through OIG's audits, inspections, investigations, and other reviews, they continue to identify areas of concern within the Department's programs and operations and…

We discuss a recent development in the set theoretic analysis of data sets characterized by limited diversity. Ragin, in developing his Qualitative Comparative Analysis (QCA), developed a standard analysis that produces parsimonious, intermediate, and complex Boolean solutions of truth tables. Schneider and Wagemann argue this standard analysis…

Data collection can be a frustrating experience for student researchers due to difficulty in scheduling appointments with participants. To increase the efficiency of research project data collection, we organized a Research Participation Night in which volunteers were incentivized to participate in as many experiments as time allowed. By offering…

China has made great improvement on subsidizing poverty-stricken students, but the current approaches of granting subsidies is not scientific or humane. Poverty-stricken students who couldn't get sufficient subsidies in suitable ways need some new and more scientific granting approaches, which inspires me to go about this study. The approach, we…

Mokken scale analysis is a probabilistic nonparametric approach that offers statistical and graphical tools for evaluating the quality of social science measurement without placing potentially inappropriate restrictions on the structure of a data set. In particular, Mokken scaling provides a useful method for evaluating important measurement…

Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then…

Influenced by the practices of social scientists, data journalists seek to create stories that frame social reality through quantitative data analysis. While the use of statistics by journalists is not new, exponential growth in available data and a desire for source material unmediated by political and public-relations framings have seen data…