Attitudes of black leaders and a general black population sample toward birth control and family planning issues were "Pro Birth Control" and "Genocide Fears." The leaders questioned held positions in twenty national black organizations, while the general population samples were taken from Philadelphia, Pennsylvania, and…

Four testing procedures for establishing the number of non-zero population roots in canonical analysis are investigated. Results of a Monte Carlo study indicate that three well-established procedures were effective, and a new procedure designed to correct a supposed flaw in the other procedures was ineffective. (JKS)

Investigates differences between networks, based on importance, response satisfaction, and frequency within the same functional communication network. Finds few differences in networks generated by these different methods for determining strengths of linkages, and a number of difficulties associated with current methodologies for examining more…

A proposed model for estimating psychomotor test battery reliability, based upon canonical correlation analysis, is described. (Author/JMK)

Three areas of research on mentally retarded children that need conceptual multivariate analysis are identified: (1) the characterization of learners, (2) the description of process features of an instructional setting, and (3) the depiction of change. Statistical developments are described that are appropriate to the data that these…

Extending the definitions of part and bipartial correlation to sets of variates, the notion of part and bipartial canonical correlation analysis are developed and illustrated. (Author)

The concepts of quantitative and structural change are considered from a multivariate perspective. A hybrid of these two types of change, quantistructural change, is described. (CS)

The theories of Kerlinger and Eysenck on the nature of the dimensions underlying social attitudes are discussed. Integrating principles from both theories, an alternative approach to the issue, is suggested and tested on the domain of attitudes toward education in relation to personality. (Author/JKS)

The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)

The Shine-Bower single subject ANOVA is extended to a multivariate case, with one example assuming between-variate dependencies among within-subject errors and the second assuming no between-variate dependencies among within-subject errors. Standard and simplified multivariate ANOVA procedures are used, respectively. (Author/CM)

Set correlation is a multivariate generalization of multiple regression/correlation analysis that features the employment of overall measures of association interpretable as proportions of variance and the use of set-partialled sets of variables. The statistical development of the theory and several examples are presented. (Author/JKS)

Redundancy analysis is an attempt to provide nonsymmetric measures of the dependence of one set of variables on another set. This paper attempts to clarify the nature of redundancy analysis and its relationships to canonical correlation and multivariate multiple linear regression. (Author/JKS)

Long-term clients were not found to differ from short-term clients in the types of problems they presented with, in the diagnoses they received, or on the major demographic variables. The differences seemed to be more of degree than of kind. (Author)

Methods for studying relationships between patterns of change on different variables are considered, showing how the multilevel modeling framework, often used to study univariate change, can be extended to the multivariate case to yield estimates of covariances of parameters representing aspects of change for different variables. (SLD)

An analysis of repeated measures designs is proposed that uses an empirical Bayes estimator of the covariance matrix. The proposed analysis behaves like a univariate analysis when sample size is small or sphericity nearly satisfied, but behaves like multivariate analysis when sample size is large or sphericity is strongly violated. (SLD)