This document serves as a support paper to the "Work-Life Issues and Participation in Education and Training" report. This support document contains tables that show: (1) participation in education and training; (2) participation in education and training and work-life interaction; (3) future participation in education or training; (4) perceptions…

Disproportionately large numbers of Black youth experience repeated encounters with the juvenile justice system, and often these same youth present with a variety of school-related difficulties. Data from a sample of 842 Black males, assessed in five Ohio juvenile courts using the Global Risk Assessment Device (GRAD), are used to describe the…

The purpose of this study was to investigate Turkish pre-service science and mathematics teachers' computer self-efficacies (CSEs) and computer attitude (CA) considering gender, year in program, and computer ownership as independent variables. Additionally the study aimed to examine the relationship between CSE and CA. Computer Self-efficacy Scale…

With the belief that theoretical integration in motivation may help us better understand motivational behavior, we designed this study to explore adolescents' motivational profiles and their associations with knowledge acquisition, leisure-time exercise behaviors, and cardiorespiratory fitness. Middle school students from a large urban inner-city…

This study investigated the effects of the "Scott Foresman Early Reading Intervention" (ERI) on growth rates in the early literacy skills of urban at-risk kindergarten students. Students participated in one of three groups: treatment-intensive/ strategic, treatment-benchmark, and nontreatment-benchmark. Treatment group students received…

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)

Theoretical hypotheses generated from data analysis of a single sample should not be advanced until the replicability issue is treated. At least one of three questions usually arises when evaluating the invariance of results obtained from a canonical correlation analysis (CCA): (1) "Will an effect occur in subsequent studies?"; (2)…