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…

Results of data analysis on 470 journal titles illustrate complexity of the fuzzy set theory modeling process, which consists of three factors--number of missing issues, citations, circulations--and its limitations in making journal binding decisions. Procedures of research, data collection, and data analysis are discussed. Matrices are included.…

Predicting MBA student performance for admission decisions is crucial for educational institutions. This paper evaluates the ability of three different models--neural networks, logit, and probit to predict MBA student performance in graduate programs. The neural network technique was used to classify applicants into successful and marginal student…

Using a sample of 350 college students, this study examined the structural and discriminant validity of the Career Factors Inventory (CFI; Chartrand, Robbins, Morrill, & Boggs, 1990), a multidimensional measure of career indecision intended to be scored for two informational indecision components (Need for Career Information and Need for…

This study tested the convergent and discriminant validity between two theories of college persistence: the Student Attrition Model and the Student Integration Model. The study examined conceptual similarities for each theory to explain departure decisions and examined how both theoretical frameworks enhanced the understanding of the processes…

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)

Using institutional data, this paper presents a model to enable researchers and enrollment managers to assess the effectiveness of financial aid packaging policies in light of student characteristics and institutional market position. The model uses discriminant analysis and a series of hypothetical financial aid award scenarios to predict the…