Social capital theory conceptualized social capital as key to connecting team members into the flow of valued resources and activities, with knowledge deemed one of the most valuable of these resources. Yet, the literature found teams struggle to effectively share knowledge. This quantitative survey-based study assessed the interrelationship…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Although it is often assumed that mathematics ability alone predicts mathematics test performance, linguistic demands may also predict achievement. This study examined the role of language in mathematics assessment performance for children with intellectual disability (ID) at less severe levels, on the KeyMath-Revised Inventory (KM-R) with a…

In an attempt to understand what acoustic/auditory feature sets motivated transcribers towards certain labeling decisions, I built machine learning models that were capable of discriminating between canonical and non-canonical vowels excised from the Buckeye Corpus. Specifically, I wanted to model when the dictionary form and the transcribed-form…

Discrimination has traditionally been parameterized for items but not other empirical factors. Consequently, if person factors affect discrimination they cause misfit. However, by explicitly formulating the relationship between discrimination and the unit of a metric, it is possible to parameterize discrimination for person groups. This article…

This research study was specifically designed to examine the relationship of a learning communities program, as a standard treatment effect, on the academic performance and retention of college freshmen during the Fall 2008 through Fall 2011 academic semesters, and specifically for a university comprised of higher levels of underrepresented…

This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), logistic regression (LR), and classification and regression trees (CART) under a variety of data conditions. Past research has generally found comparable performance of LDA and LR, with relatively less research on QDA and…

An alternative approach for program evaluation of small, specialized programs when comparison groups are not available is described. This application is illustrated by presenting the results of an analysis of data from Project Talent, a national manpower study, and discussing its application to the evaluation of a medical training program.…

A methodology developed as an alternative to conventional institutional classification structures, intended to reduce the limitations of those models, is described. Ways in which the methodology can be used for planning, administrative, and research purposes are discussed, as are the dangers in using "peer groups" for institutional…

The evolution of clinical knowledge about the management of a common chronic disease was determined by applying analysis of variance and multiple discriminant analysis to responses on two patient management problems by groups of junior medical students and internal medicine residents. The applying analysis of variance and multiple discriminant…

This study was initiated to determine whether factors pertinent to the choices of four-year students apply to, and are predictive of, the decisions of two-year students, or whether alternative models of choice are needed. Students completed a questionnaire which asked for information about their characteristics and college decisions. (MLW)