In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…

Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…

In Huggins-Manley & Han (2017), it was shown that WLSMV global model fit indices used in structural equating modeling practice are sensitive to person parameter estimate RMSE and item difficulty parameter estimate RMSE that results from local dependence in 2-PL IRT models, particularly when conditioning on number of test items and sample size.…

Neuroscience can greatly benefit from using novel methods in computer science and informatics, which enable knowledge discovery in unexpected ways. Currently one of the biggest challenges in Neuroscience is to map the functional circuitry of the brain. The applications of this goal range from understanding structural reorganization of neurons to…

This study analyzed the meta-data collected from a honeypot that was run by the Federal Bureau of Investigation for a period of 5 years. This analysis compared the use of existing industry methods and tools, such as Intrusion Detection System alerts, network traffic flow and system log traffic, within the Open Source Security Information Manager…

This study addressed CPA perceptions about the need for human skill competencies as professional development. The problem was identified as the undetermined assessment of state level CPA perceptions about human skill competencies as developmental needs. CPAs and education providers may be impacted by this problem. The purpose of this study was to…

As online education grows, institutions must develop and evaluate student services to meet the needs of adult online students. The university at which the study was conducted had growing online enrollment, but no systematic examination of services from the students' perspective to drive service development and improvement. This represented a gap…

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…

The purpose of this quantitative study was to explore the influence of principal leadership behaviors and potential of utilizing adult learning strategies on the development of a school's professional learning environment (PLE). The intention was also to determine if principals considered themselves prepared to develop and sustain such an…

The focus of this study was to answer the following overarching question: How does a Twitter discussion format compare to a Facebook discussion format in terms of promoting collaborative argumentative discourse? Data analysis focused on the difference in amount of arguments, counter-arguments, reasons, and elaborations generated by participants…

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…

The role of teacher assistants has paralleled the changes in education over the years. The teacher assistants, who numbered 1.3 million in 2008 and are projected to increase by 10 percent by 2018 (Office of Labor Statistics, 2012) are valuable members of our educational communities providing support to students with special needs. These teacher…

Two-year community colleges are commissioned to close the assessment-outcome loop, which includes the research site for this study. This action research study, which utilized quantitative and qualitative data sets, was designed to close the assessments, learning outcomes and the professional development budget proposal process gap. The developed…

The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluation was developed through previously explored simulated analyses of DGs performed by researchers in the field of DG scheduling optimization and to improve the current RT framework of the DG at TTU. The author analyzed the RT of an actual DG, thereby…

The purpose of the present quantitative correlational study was to examine if a relationship existed between the RBD phenomenon and cultural, economic, or political factors of the native countries of South Asian IT professionals living in the United States. The study on reverse brain drain was conducted to explore a growing phenomenon in the…