A revision of the initialization strategy is suggested for OSMOD, a method of nonlinear principal component analysis for multivariate nominal and/or ordinal data. The revision is effective in diminishing the possibility of obtaining locally optimal solutions with categorical data provided by the original version of OSMOD. (SLD)

Measures of multivariate association, based on Wilks'"lambda" or the Bartlett-Nanda-Pillai trace criterion "V", are compared in terms of properties of univariate R-squared, which they generalize. A unified set of derivations of properties is provided, which is self-contained and not restricted to decompositions in canonical…

A computer-assisted, K-fold cross-validation technique is discussed in the framework of canonical correlation analysis of randomly generated data sets. Analysis results suggest that this technique can effectively reduce the contamination of canonical variates and canonical correlations by sample-specific variance components. (Author/SLD)

Reviews methods for testing whether two or more correlation matrices differ from each other. Illustrates methods for evaluating the similarities of two independent correlation matrices, such as those obtained from boys and girls, and two dependent correlation matrices, such as those obtained in longitudinal research that uses multiple measures.…

Although stated objectives of multivariate multiple regression and canonical correlation seem different, aspects of the analyses themselves are mathematically equivalent. A numerical example of the similarities is given, with reference to omnibus significance testing, variable weighting schemes, and dimension reduction analysis. (SLD)

Application of equality constraints on the categories of a variable is a simple and useful extension of multiple correspondence analysis. Equality is an easy way to incorporate prior knowledge. A procedure to deal with unequal category numbers and with subsets of variables is outlined and illustrated. (SLD)

The key ideas of multiple imputation for multivariate missing data problems are reviewed. Software programs available for this analysis are described, and their use is illustrated with data from the Adolescent Alcohol Prevention Trial (W. Hansen and J. Graham, 1991). (SLD)

Study identifies most representative ability and achievement for the Linking sample (N=824) of the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) and the Wechsler Individual Achievement Test (WIAT). Primary benefit of core-profile typology is that it provides contrasts for testing multivariate IQ-achievement discrepancies. Two…

Computer simulations used to compare the Mahalanobis distance procedure with the Andrews-Pregibon statistic for identifying multivariate outliers result in the conclusion that the choice of procedure is not critical, since both identified valid data points as outliers. Results with false outliers as the dependent variable suggest the importance of…

Discusses the propriety and practical advantages of specifying multivariate time series models in the context of structural equation modeling for time series and longitudinal panel data. For time series data, the multiple indicator model specification improves on classical time series analysis. For panel data, the multiple indicator model…

Proposes a class of multivariate Tobit models with a factor structure on the covariance matrix. Such models are useful in the exploratory analysis of multivariate censored data and the identification of latent variables from behavioral data. The factor structure provides a parsimonious representation of the censored data. Models are estimated with…

For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are…

Objective:: The objective was to examine the roles of cognition and affect in maternal use of physical punishment. Method:: Through a review of the literature, distal and proximal predictors (cognitive and affective) of physical punishment use were identified. One hundred and ten mothers of 3-year-old children were interviewed regarding two…

In this study we examined adolescent risk behaviors, giving special attention to suicide ideation. Cluster analysis was used to classify adolescents ( N = 2,730) on the Youth Risk Behavior Survey. Six clusters of adolescent risk behavior were identified. Although each risk cluster was distinct, some clusters shared overlapping risk behaviors.…

Data on 153 youth suicides in Arizona (1994?1999) were used to explore demographic, behavioral, and experiential factors that distinguish between firearm suicide and suicide by other means. In bivariate analyses, White youths were more likely than non-White youths to use a firearm to commit suicide as were youths who had not experienced a life…