Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…

In this study on K-12 schools in the U.S. Florida Heartland, I take a QuantCrit approach to uncover how processes of data transformation, which I call 'racial re-formation', shape the utilization and reporting of racial and ethnic representations of students. To understand actual data use at schools, I apply QuantCrit's principles on how numbers…

The retail industry is undergoing a significant transformation. Factors such as technological advancement and evolving consumer demands have forced companies to rethink their traditional approaches to retail. Retailers have since embraced data-driven strategies with real-time implementation to stay relevant in this complex, ever-changing industry.…

Community colleges are under pressure to educate a growing student population while economic resources in higher education are diminishing. One measure of success for colleges is the ability to retain students. Due to the varied nature of the community college population, measuring student retention is challenging. One facet of student retention…

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 content analysis of state U.S. History and Civics standards, we compared the treatment of immigration across three types of states with differing immigration demographics. Analyzing standards from 18 states from a critical race methodology perspective, our findings indicated three sets of tensions: a unified American story versus local…

This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…

Borrowing student loans can be confusing and intimidating, enough so that these feelings can influence how students go to college or whether they even enroll at all. Colleges have a responsibility to provide loan counseling to federal student loan borrowers--which, when done intently, can produce a potentially clarifying and empowering experience.…

Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…

Background: Adolescents with asthma are at risk for psychological and behavioral problems. The aim of this study was to determine whether high school students with asthma are at increased risk for bullying in school and cyberspace, and to explore the role of depressive symptoms in moderating this association. Methods: A secondary data analysis was…

Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…

Developmental education courses in college--defined as classes taken in college that are below college level (Bautsch, 2013)--have come under increased scrutiny in recent years. Concerns focus on the large number of students enrolled in developmental education courses, the high cost of providing them, and the low success rates among students who…

Response to Intervention (RTI) is a service model designed to meet the learning needs of students prior to diagnosis and placement in special education settings. Results of a quantitative quasi-experimental research study to investigate the relationship between the RTI plan and self-reported implementation practices among general education…

The purpose of this quantitative study was to investigate six factors that may influence adoption of virtual private network (VPN) technologies in small businesses with fewer than 100 employees. Prior research indicated small businesses employing fewer than 100 workers do not adopt VPN technology at the same rate as larger competitors, and the…

School districts and states across the Regional Educational Laboratory Mid-Atlantic Region and the country as a whole have been modifying their teacher evaluation systems to identify more effective and less effective teachers and provide better feedback to improve instructional practice. The new systems typically include components related to…