The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…

This study represented dimensions from the diffusion of innovations theory and the community of inquiry model to explore the adoption of web-conferencing. It used logistic regression to model the likelihood of adopting web-conferencing in online teaching with data collected from 66 college online instructors. In the logistic regression analyses,…

Logistic regression (LoR) is a foundational supervised machine learning algorithm and yet, unlike linear regression, appears rarely taught early on, where analogy and proximity to linear regression would be an advantage. A random sample of 50 syllabi from undergraduate business statistics courses shows only two percent of the courses included LoR.…

Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…

Whether supervision of doctoral students is best pursued individually or collectively is a recurring but unresolved question in debates on higher education. The rarity of longitudinal data and the common usage of qualitative methods to analyse a limited number of cases have left the effectiveness of either model largely untested. To assist with…

Due to the Title IX law, administrators at institutions of higher education (IHE) in the United States must promptly investigate reports of sexual assault. In addition, the Clery Act requires IHEs to publicly disclose annual sexual assault statistics. However, it is unknown whether--or how--sexual assault disclosure differs by type of IHE. This…

As the experience of studying abroad can signal general and transnational human capital, it is considered to be increasingly important for professional careers, particularly in the context of economies' internationalization. However, studies using graduate surveys face problems of self-selection and studies on employers' opinions face problems of…

Many interventions have been proposed to improve the retention and graduation rates of engineering students. One such intervention is to use study groups for first-year college students; such groups provide a structured environment in which the students can learn course material from each other outside of class and can provide the students with a…

The purpose of this study was to examine the effects of proactive student-success coaching, informed by predictive analytics, on student academic performance and persistence. Specifically, semester GPA and semester-to-semester student persistence were the investigated outcomes. Uniquely, the community college focused the intervention on only…

Low motivation to perform well on a test is a potentially problematic source of construct-irrelevant variance (Messick, 1980), especially when there are low or no stakes attached to performance. That is, interpretations of test scores as indicators of students' knowledge and skills may be compromised if those students do not put forth the effort…

In this paper, I assess labor market returns of a substantial skill upgrade: college enrollment of the vocationally trained, non-traditional students who do not have the formal entry requirement. Using propensity-score-adjusted regressions and the National Educational Panel Study, I find that these enrollees face high opportunity costs as they…

Pre-college student participation in science fairs, robotics competitions, computing contests and other science, technology, engineering, and mathematics (STEM) competitions increases every year in the United States. This is despite the fact that little is known about the relationship between STEM competition participation and career interest in…

The climate in college admissions is more competitive than ever, making understanding the college choice factors that contribute to a student's enrollment decision increasingly important. Using admitted student data from a liberal arts institution in the northeast for fall 2008 to fall 2011, and after controlling for student preparedness,…

The cost of higher education at both public and private institutions is increasing and adversely affecting college students (College Board, 2009; Idemudia & Ferguson, 2014a, 2014b, 2015a, 2015b). Utilizing an institutional dataset called Financial Survey of Students 2006 compiled at one of the largest public universities in the southwestern…