The link between formal education and the formation of national attachment is widely acknowledged. Yet, research on teachers' national attachment is still relatively rare. Based on a comparative analysis of survey data obtained from 281 Berlin and London state secondary school head teachers, this paper proposes a multivariate model in which…

This study is a meta-interpretative analysis that focuses on research conducted and published by other researchers. Concepts central to this study include global practical relevance, curriculum design, and formative situation. We analyzed 35 studies selected from 374 published studies in the years 2000 and 2001 in three journals referenced in the…

Objective: This study examines in-agency and out-of-agency service provision to a sample of 243 foster children and their families. Method: Data come from a longitudinal study of 243 foster children and families served by non-profit agencies that were operating under either a performance-based, managed care purchase-of-service contract or a…

This paper briefly explains the logic underlying the basic calculations employed in canonical correlation analysis. A small hypothetical data set is employed to illustrate that canonical correlation analysis subsumes both univariate and multivariate parametric methods. Several real data sets are employed to illustrate other themes. Three common…

This paper describes two BASIC computer programs that calculate Hotelling's T-square either for one sample or for two samples. Output of the progams includes the Mahalanobis distance D-square, the F ratio associated with T-square, and its probability level. (Author)

Several methods for quantifying categorical multivariate data (including multiple correspondence analysis and optimal scaling) are discussed and shown to be equivalent. The method can be applied by variable matrix with categorical variables, by item matrix of multiple-choice data, or by a multi-way contingency table. (NSF)

Orthogonal rotation of canonical variates is shown to preserve the major properties of the canonical solution and may increase its interpretability. Empirical illustrations are given. (Author/HG)

This paper explains the theory and methodology behind the use of variable deletion in canonical correlational analysis (CCA). Both the Capraro and Capraro (2002) and the Cantrell (1997) data tables are evaluated and explained in order to clarify strategies utilized. Understanding of variable deletion strategies and their proper usages in a CCA…

Because multivariate statistics are increasing in popularity with social science researchers, the challenge of detecting multivariate outliers warrants attention. Outliers are defined as cases which, in regression analyses, generally lie more than three standard deviations from Yhat and therefore distort statistics. There are, however, some…

This paper reviews graphical and nongraphical procedures for evaluating multivariate normality by guiding the reader through univariate and bivariate procedures that are necessary, but insufficient, indications of a multivariate normal distribution. A data set using three dependent variables for two groups provided by D. George and P. Mallery…

This paper reviews the concept of experimentwise Type I error. While "testwise" alpha refers to the probability of making a Type I error for a single hypothesis test, "experimentwise" error refers to the probability of having made a Type I error anywhere within the study. Experimentwise error concerns are the basis for two…

Criteria for assessing variable performance in multivariate analysis of variance (MANOVA) are considered, examining criteria suggested by Huberty and Wisenbaker (1992), the contribution to linear discriminant function scores and the contribution to grouping variable effects. It is proposed that the two criteria be amalgamated as the contribution…

Proposes a comprehensive approach, generalized constrained multiple correspondence analysis, for imposing both row and column constraints on multivariate discrete data. Each set of discrete data is decomposed into several submatrices and then multiple correspondence analysis is applied to explore relationships among the decomposed submatrices.…

Average reliability of the coefficient is suggested as a multivariate extension of the classical reliability coefficient. It is shown that this coefficient is identical to the mean redundancy of the observed variables conditional on the true variables. (Author/SLD)

A nonparametric class of intervariable association indeces is presented that follows the logic of point symmetry adjustment of the Pearsonian phi coefficient. This approach is extended to multipoint scales. These indeces may be attractive alternatives to the Pearson correlation coefficient for multivariate analyses. (SLD)