When either regression models or subjectively-weighted models are used as aids in making placement decisions, the discriminant validity of these models is questioned. The validity of several regression models and of subjectively weighted models was investigated in two experiments. (Author/JKS)

The use of multiple regression analysis was compared to the use of discriminant function analysis in the prediction of college faculty rank. The multiple regression technique was shown to be generally superior in this instance. (JKS)

Discusses the nature, power, and limitations of four multivariate techniques: factor analysis, multiple analysis of variance, multiple regression, and multiple discriminant analysis. Shows how decision trees assist in interpreting results. (SK)

Systematic procedures are outlined for testing the assumption made on the dependent variables in a variety of statistical techniques. Specifically, procedures are outlined for testing the assumption that the dependent variables are measuring the same constructs in the same metrics with equivalent reliabilities across all subgroups. (Author/JKS)

Describes a study that examined quantifiable characteristics of library schools to construct a model that predicts a judgment of perceived quality of library schools. Two perception studies conducted by Herbert White are discussed, statistical methods used are explained, and recommendations for further research are given. (34 references) (LRW)

The use of canonical analysis and multiple discriminant analysis to analyze equity-parity in colleges and universities is assessed and distinguished from multiple regression analysis. Multiple regression analysis forces the variable weights throughout the salary structure to be uniform, permits only one criterion or dependent variable to be…

The analysis of salary equity-parity typically involves the use of multiple regression analysis to determine predicted salary and the residual differences between predicted and actual salary. Two alternatives are presented, canonical analysis and multiple discriminant analysis. (Author/MLW)

Data from student evaluations of a master's degree program (n=139, 45 percent response) are used to demonstrate four techniques: factor, correlational, discriminant, and multiple regression analysis. Their usefulness in identifying causal factors related to program quality is discussed. (SK)

Described is a method for discriminant analysis which uses the multiple regression facilities offered by many microcomputer statistical packages. This method is illustrated with an ecological example using the MICROTAB statistical package on a BBC microcomputer. Compares these results with an analysis of the same data using SPSS X. (Author/CW)

A research design, decision support system, and results of a comparative analysis of enrollment and financial strength (of private institutions granting masters and doctoral degrees) are presented. Cluster analysis, discriminant analysis, multiple regression, and an interactive decision support system are used to compare the enrollment and…

To determine whether it is necessary for eight College Research Center (CRC) member colleges to use 16 distinct sets of weight in combining four admissions tests scores into predictive composities, a standard set of weights were developed and tested for effectiveness in predicting Freshman Average Grade (FAG). The basic sample in which weights…

The usefulness of equations to predict graduation from college was studied using data from the 1974 freshman class of a major research university. The following predictor variables were assessed using multiple regression and discriminant analyses: sex, race, residency, major, high school rank, high school size, Scholastic Aptitide Test scores, and…

The relatively large number of students who perform poorly in freshman chemistry courses signals the need for the identification of criteria that will result in correct placement decisions for incoming college students. Research findings have generally reported placement criteria that correlate significantly with performance in college chemistry…

The reliability, factor structure, and discriminatory power of faculty perceptions of the performance of departmental administrators were investigated, using the Administrator Evaluation Survey (AES) developed at the University of Illinois. Faculty from a major research university in the midwest, a smaller state university in the midwest, and a…