New technologies and data science are transforming a wide range of organizations into analytics-intensive enterprises. Despite the resulting demand for graduates with experience in the application of analytics, though, undergraduate education has been slow to change. The academic and policy communities have engaged in a decade-long conversation…

We estimate the short-term effects of the introduction of the Bachelor degree system in Germany, a change in degree regulations such that students need less time to earn a first degree, on college enrollment and dropout rates. We use variation in the timing of the reform at the university department level to identify the effects of the reform…

The need for analysts with expertise in big data software is becoming more apparent in today's society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software--Excel…

This study had two purposes: examining the internal structure of the "Test Estandarizado para la Evaluación Inicial de la Escritura con Teclado" (TEVET; Spanish Keyboarding Writing Test), and analyzing the development of keyboarding skills in Spanish elementary school children with and without learning disabilities (LD) in writing. A…

In the rapid development of Chinese higher vocational education, large gaps have appeared in the scale of development and resource generation among the provinces, among regions in the provinces, and among higher education institutions in the provinces. Balanced regional development and provincial-level coordination have become policy focal points,…

In this article we present the results of two listening assessments conducted in spring 2013 and fall 2013. Our primary goal is of a pedagogical nature and is concerned with the design and the testing of a tool that could measure students' critical listening skill improvement during the span of a semester. A total of N = 370 students participated…

The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic…

In examining national data on Federal Pell Grant eligibility in the National Postsecondary Student Aid Study (NPSAS), we were puzzled to discover that many students who appear to have eligible Expected Family Contributions (EFCs) do not receive the award. We use institutional data from a large public university to understand and enumerate changes…

Nearly 24 million children age 5 and under resided in the United States in 2014. Previous research has shown that about 60 percent of these children have some type of nonparental care arrangement before entering kindergarten. Studies of nonparental care arrangements are important because it is through such arrangements that many children receive…

This study analyzed tuition reductions in the private not-for-profit sector of higher education, utilizing a quantitative descriptive and correlational approach with secondary data analysis. It resulted in a listing of 45 institutions with verified tuition reductions from 2007 to 2017, more than previously thought. It found that the…

In order to enhance Extension evaluation efforts it is important to understand current practices. The study reported here researched the evaluation behaviors of county-based Extension professionals. Extension professionals from eight states (n = 1,173) responded to a survey regarding their evaluation data collection, analysis, and reporting…

In this paper we examine ways to conceptualize and address potential bias that can arise when the mechanism for missing outcome data is at least partially associated with treatment assignment, an issue we refer to as treatment confounded missingness (TCM). In discussing TCM, we bring together concepts from the methodological literature on missing…

To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…

Statistical literacy is essential to scientific literacy, and the quest for such is best initiated in the elementary grades. The "Next Generation Science Standards and the Common Core State Standards for Mathematics" set forth practices (e.g., asking questions, using tools strategically to analyze and interpret data) and content (e.g.,…

Experimentation is the foundation of science and an important process for students to understand and experience. However, it can be difficult to teach some aspects of experimentation within the time and resource constraints of an academic semester. Interactive models can be a useful tool in bridging this gap. This freely accessible simulation…