Student veterans face many challenges when transitioning to college. This two-phase study first examined their retention and persistence through the use of archival data at one Midwestern public university. Results indicated a 50% graduation rate, comparable to the national average and above that for nonveterans at the same university. The second,…

This empirical study investigates secondary science teachers' perspectives on science education reform in Taiwan and reflects how these teachers have been negotiating constructivist and learner-centered pedagogical approaches in contemporary science education. It also explores the challenges that teachers encounter while shifting their pedagogical…

Few studies have examined the impact of mastery learning on mastery goal structures or even on students' motivation more generally. In this study, we examined one middle school that implemented a schoolwide mastery learning system, conducting interviews with a sample of administrators (n = 3), teachers (n = 4), and students (n = 9) to determine…

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…

The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people are prepared to undertake their roles as citizens in a range of countries in the second decade of the 21st century. ICCS 2016 is the second cycle of a study initiated in 2009. This technical report follows the publication of several…

The Fostering Connections to Success and Increasing Adoptions Act was implemented in 2008 (P.L. 110-351) in an effort to meet the needs of youth in foster care, including issues related to educational stability, educational services to support stability, and transition into higher education or the workforce. This article examines the written laws,…

Systems archetypes are patterns of structure found in systems that are helpful in understanding some of the dynamics within them. The intent of this study was to examine educational attainment data using the success-to-the-successful archetype as a model to see if it helps to explain the inequality observed in the data. Data covering 1990 to 2009…

The completion agenda is in full force at the nation's community colleges. To maximize the impact colleges can have on improving completion, colleges must organize around using student progress and outcome data to monitor and track their efforts. Unfortunately, colleges are struggling to identify relevant data and to mobilize staff to review…

Data analysis requires subtle probability reasoning to answer questions like "What is the chance of event A occurring, given that event B was observed?" This generic question arises in discussions of many intriguing scientific questions such as "What is the probability that an adolescent weighs between 120 and 140 pounds given that…

Violent crime incidents occurring in Irvington, New Jersey, in 2007 and 2008 are used to assess the joint analytical capabilities of point pattern analysis, hotspot mapping, near-repeat analysis, and risk terrain modeling. One approach to crime analysis suggests that the best way to predict future crime occurrence is to use past behavior, such as…

The selection and use of communication media has been the center of attention for a great number of researchers in the area of organizational communication. The channel expansion theory combines elements of the main theories in this area; however, these investigations have a static cross-sectional design rather than a longitudinal analysis. With…

Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered using conventional querying or statistical methods. This discovered knowledge has been used to empower decision makers in countless applications spanning across many multi-disciplinary areas…

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n = 10) and in a typical college population (n = 37). The use of EDA allowed for trends to emerge from the data and provided a foundation for future…

Blessed by the Internet age, many online retailers (e.g., Amazon.com) have deployed recommender systems to help their customers identify products that may be of their interest in order to improve cross-selling and enhance customer loyalty. Collaborative Filtering (CF) is the most successful technique among different approaches to generating…

Parceling is referred to as a procedure for computing sums or average scores across multiple items. Parcels instead of individual items are then used as indicators of latent factors in the structural equation modeling analysis (Bandalos 2002, 2008; Little et al., 2002; Yang, Nay, & Hoyle, 2010). Item parceling may be applied to alleviate some…