The cross-validated classification accuracy of predictive discriminant analysis (PDA) and logistic regression (LR) models was compared for the two-group classification problem. Thirty-four real data sets varying in number of cases, number of predictor variables, degree of group separation,...

This study examines the proposed Reliability Generalization (RG) method for studying reliability. RG employs the application of meta-analytic techniques similar to those used in validity generalization studies to examine reliability coefficients. This study explains why RG does not provide a...

PURPOSE OF STUDY: This is the third of a 3-part series presenting 2 effective applications--acuity and dosage--that describe how the business case for case management (CM) can be made. In Part I, dosage and acuity concepts were explained as client need-severity, CM intervention-intensity, and CM...

Source: Dissertation Abstracts International, Volume: 63-10, Section: B, page: 4749.

Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2172.

Source: Dissertation Abstracts International, Volume: 66-01, Section: A, page: 0155.

An algorithm is presented for constructing from the adjacency matrix of a digraph the matrix of its simple n -sequences. In this matrix, the i, j entry, i ≠ j , gives the number of paths of length n from a point v i to a point v j ; the diagonal entry i, i gives the number of cycles of length...

This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze “pick any/ n ” choice data (e.g., consumers rendering buy/no buy decisions concerning a number of actual products). A maximum likelihood procedure is formulated to estimate a joint space...

In many regression applications, users are often faced with difficulties due to nonlinear relationships, heterogeneous subjects, or time series which are best represented by splines. In such applications, two or more regression functions are often necessary to best summarize the underlying...

This paper presents a nonspatial operationalization of the Krumhansl (1978, 1982) distancedensity model of similarity. This model assumes that the similarity between two objects i and j is a function of both the interpoint distance between i and j and the density of other stimulus points in the...