Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…

We examined the validity of using Compass® test scores and high school grade point average (GPA) for placing students in first-year college courses and for identifying students at risk of not succeeding. Consistent with other research, the combination of high school GPA and Compass scores performed better than either measure used alone. Results…

The use of categorical dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, educational attainment) are…

Since SAT and ACT tests have been long-suspected and then shown to contain class and race biases while not accurately predicting retention, the Schedler Honors College at the University of Central Arkansas (UCA) shifted to a holistic, multi-criterion selection process, de-emphasizing standardized tests, and then analyzed the outcomes. This essay…

Enrollment practitioners commonly discuss the effect of geographic factors on retention at rural or small-city institutions. This study examined the correlations between geographic characteristics of first-year college students' home location and their retention to the second year at a university located in a small city. The dimension of…

Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…

The Major Field Test in Business (MFT-B) is a widely used end-of-program assessment tool; however, several challenges arise when using the test in this capacity. Changing student demographics and the lack of a statistical framework are two of the most vexing issues confronting educators when using the MFT-B for programmatic assessment. The authors…

The purpose of this study was to contribute to the research body of literature regarding dual enrollment, the impact and effectiveness of the program, and its relationship to college persistence. The goal was to provide information useful to governing bodies, educational leaders, parents and students. The theoretical construct, defined through the…

This study was intended to serve as an example of cross-validating results from student persistence prediction models that employed commonly available pre-college student characteristics. The study investigated whether the accuracy of predicting student persistence would vary because of the use of present-year vs. previous-year parameters on…

This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…