The role of education in fostering economic growth and social development is universally recognized. Although history places the provision of education firmly within national control, countries increasingly search outside national borders for alternative distribution frameworks. Tellingly, the World Trade Organization recently included education…

This article investigates the role that parental socioeconomic status plays in forming the racial gap in home computer use among young school-age children. Descriptive statistics from time diary data of 6- to 11-year-olds in the Panel Study of Income Dynamics, Child Development Supplement, reveal that Black American children spend substantially…

We investigated trajectories of adolescent delinquent development using data from the Pittsburgh Youth Study and examined the extent to which these different trajectories are differentially predicted by childhood parenting styles. Based on self-reported and official delinquency seriousness, covering ages 10-19, we identified five distinct…

This is the final report of the National Evaluation of Student Support Services (SSS). SSS is one of eight federally funded grant programs that are administered as part of the Federal TRIO Programs within the U.S. Department of Education (ED). The SSS program, in particular, focuses on students while they are enrolled in college. In general, SSS…

Student performance in basic math and reading skills in the United States trails behind other developed countries, providing the rationale for more research to determine how performance might be improved. Following evidence to conclude that multilingualism enhances cognitive, neuro-linguistic and meta-linguistic development, it is proposed that…

The impacts that the lack of physical cues and non-verbal cues of emotional expression has on the student learning experience in text based online environments were targeted separately in this study. A questionnaire was constructed with separate items for non-verbal cues of emotional expression and cues to physical identity. The survey also…

Methods for the analysis of within-subjects effects in multivariate groups by trials repeated measures designs are considered in the presence of heteroscedasticity of the group variance-covariance matrices and multivariate nonnormality. Under a doubly multivariate model approach to hypothesis testing, within-subjects main and interaction effect…

The concept of the general linear model (GLM) is illustrated and how canonical correlation analysis is the GLM is explained, using a heuristic data set to demonstrate how canonical correlation analysis subsumes various multivariate and univariate methods. The paper shows how each of these analyses produces a synthetic variable, like the Yhat…

This paper illustrates how canonical correlation analysis can be employed to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, all apply weights to measured variables to create synthetic variables, and all yield effect sizes analogous to "r"…

Canonical analysis is frequently used in studies of relationships between sets of variables which are difficult to measure accurately, partly because of the true nature of the data and partly because of errors associated with the measurement instruments. Meredith's solution to the fallible data problem is examined. (Author/BJG)

The multivariate technique OVERALS is introduced as a non-linear generalization of canonical correlation analysis (CCA). First, two sets CCA is introduced. Two sets CCA is a technique that computes linear combinations of sets of variables that correlate in an optimal way. Two sets CCA is then expanded to generalized (or k sets) CCA. The…

Many purposes can be served by using multiple dependent variables (MDVs) in program evaluations, and the application of path analysis to multiple measures can increase both conceptual and statistical power. Alternative types of MDV designs are described and evaluated. (Author/TJH)

The shape of the response surface associated with a discriminant analysis provides insight into the value of the derived optimal discriminant variates. A procedure for the determination of "indifference regions," presented in this article, allows the assessment of the degree of flatness of the response surface for any analysis.…

Constructing scales on the basis of components analysis by assigning weights 1 to variables with high positive loadings on the components and -1 to variables with high negative loadings was compared with other strategies of scale construction, which assign weights 1 or -1 to variables with high weights for the components. (Author/BW)

Description of a computer program performing rotated canonical variate analysis was presented. The program is compatible with the IBM Scientific Subroutines Package. Examples of rotated and unrotated solutions of a sample problem were given, together with their interpretations illustrating the advantages of the rotated solution. (Author)