The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)

Network analysis is a dynamic tool for managing routine administrative and operating procedures. The network serves as a mathematical model that identifies the relationships, interdependencies, and constraints in a project showing the sequential steps needed to reach a given objective event. (Author/IRT)

Suggests that a possible reason for receiver-operating characteristics (ROC) curves having a slope other than unity when plotted on Normal-deviate axes is that the dichotomy into relevant and nonrelevant items is artificial, and that there is really a bivariate distribution of objective relevance and relevance as assessed by the information…

Mathematical modeling has gained prominence as a means of improving educational planning. One often-used model is the Markovian Model. It is shown that education, being hierarchical, is amenable to Markov-type analysis. Some consequences of the model and some results of its application in Nigeria are noted. (Author/MP)

Describes an economic modeling approach to evaluating the cost and benefits associated with providing information services through information centers. The approach develops a framework for understanding observations about the demand for scientific and technical information and integrating these observations with fundamental economic principles.…

Recent mathematical descriptions of Bradford's distribution, and a new formulation that provides a more accurate estimation of the total number of papers and sources on a given scientific subject are presented. (Author/MBR)

The effects of variance heterogeneity on the empirical probability of a Type I error for the analysis of variance (ANOVA) F-test are examined. The rate of Type I error varies as a function of the degree of variance heterogeneity, and the ANOVA F-test is not always robust to variance heterogeneity when sample sizes are equal. (Author/JAC)

Principal components analysis is generalized to the case where any of the variables under consideration can be nominal, ordinal or interval. Hotelling's original formulation is seen to be a special case of this generalization. (JKS)

A simple roof is presented: that the squared multiple correlation of a variable with the remaining variables in the set of variables is a lower bound to the communality of that variable. (Author/JKS)

The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)

Classification is a procedure through which individuals are classified as being members of a particular group based on a variety of independent variables. Two methods of makin such classifications are discussed; the quadratic method is seen to be superior to the linear under certain constraints. (JKS)

A method of determining core journals for any discipline, using data from the Journal Citation Reports to generate discipline impact factors, is described. (Author)

A Monte Carlo study was carried out to investigate the ability of the ALSCAL multidimensional scaling program to recover true structure inherent in simulated proximity data. The results under varying conditions were mixed. Practical implications and suggestions for further research are discussed. (Author/JKS)

A group of factor analytic rotation procedures are developed which yield both hyperplane fittings and oblique Procrustean analyses as special cases. It is generally supposed that these techniques are rather different in approach. Illustrations are presented and discussed. (Author/JKS)

Finding and interpreting lower bounds for reliability coefficients for tests with nonhomogenous items has been a problem for psychometricians. This paper presents a mathematical formula for finding the greatest lower bound for such a coefficient. (Author/JKS)