A summary and a unified treatment of fully general computational solutions for two criteria for transforming two or more matrices to maximal agreement are provided. The two criteria--Maxdiff and Maxbet--have applications in the rotation of factor loading or configuration matrices to maximal agreement and the canonical correlation problem. (SLD)

Contends that multivariate statistical analyses should be studied and practiced more extensively. Gives several reasons for doing multivariate analysis and discusses two common errors in statistical analysis. Presents examples of how single multivariate analysis can produce different results than do separate univariate analyses and illustrates…

The finite intersection test (FIT) developed by P. K. Krishnaiah (1964, 1965) is discussed and compared with more familiar methods for simultaneous inference. How the FIT can be used to analyze differences among all means for both univariate and multivariate experimental designs is explained. (SLD)

Suggests that artificial neural networks (ANNs) exhibit properties that promise usefulness for policy researchers. Notes that ANNs have found extensive use in areas once reserved for multivariate statistical programs such as regression and multiple classification analysis and are developing an extensive community of advocates for processing text…

The perturbation theory of the generalized eigenproblem is used to derive influence functions of each squared canonical correlation coefficient and the corresponding canonical vector pair. Three sample versions of these functions are described, and some properties are noted. Two obvious applications, multiple correlation and correspondence…

Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…

A new version of the standardized estimated parameter change that is invariant to the original metrics of the measured and latent variables is suggested for use in model modification. A multivariate estimated parameter change for a set of fixed parameters to be freed simultaneously is also introduced. (SLD)

Simulated population data were used to compare relative performances of the modification index and C. Chou and P. M. Bentler's Lagrange multiplier test (a multivariate generalization of a modification index) for four levels of model misspecification. Both indices failed to recover the true model except at the lowest level of misspecification. (SLD)

Multivariate analysis of the relationship between career exploration and its predictors for 156 women and 162 men indicated that combining all predictors accounted for less than one-third of variance. Other analyses showed that the broad construct of ego identity exploration cannot be substituted for career exploration. (SK)

This article discusses approximate tests of marginal association in 2-way tables in which one or both response variables admit multiple responses. Although multiple-response questions appear in all fields of research, including sociology, education, and marketing, the development of association tests that can be used with multiple-response data is…

Additive and non-additive models for an individual trend curve are examined, and five methods for fitting these to a set of individuals are described. It is suggested that classical fitting methods are more informative than latent curve methods, and commonly preferable. A limited study of the effect of time-structure is reported, and results on…

The Medicare Prescription Drug, Improvement, and Modernization Act of 2003 (MMA) created the Medicare Advantage (MA) program, which promotes the entry of private Preferred Provider Organization (PPO) plans into regions that have not previously had Medicare managed care plans. The assumption that a competitive environment will develop is based on…

A multivariate reduced-rank growth curve model is proposed that extends the univariate reduced rank growth curve model to the multivariate case, in which several response variables are measured over multiple time points. The proposed model allows us to investigate the relationships among a number of response variables in a more parsimonious way…

This short contribution is a comment on M. Moerbeek's exploration of consequences of ignoring a level of clustering in a multilevel model, which was published in the first issue of the 2004 volume of Multivariate Behavioral Research. After having recapitulated the framework and extended the results of Moerbeek's study, we formulate two critical…

This study investigates the validity of equivalency theory among 63 students by comparing two introductory upper-division human resource management courses: one taught online, the other in a traditional classroom. Commonalities included same term, same professor, and identical assignments/tests in the same order, thus allowing a direct comparison…