Commonality analysis may be used as an adjunct to general linear methods as a means of determining the degree of predictive ability shared by two or more independent variables. For each independent variable, commonality analysis indicates how much of the variance of the dependent variable is unique to the predictor and how much of the predictor's…

Past research shows that repetition results in increased learning. However, it is not clear whether repetition adds more information to memory (quantitative hypothesis), or allows the learner to use a more sophisticated method of encoding (qualitative hypothesis). This study investigates the process and effectiveness of repetition as a study…

The effects of correlated dimensions on parameter estimation were assessed, using a two-dimensional item response theory model. Past research has shown the inadequacies of the unidimensional analysis of multidimensional item response data. However, few studies have reported multidimensional analysis of multidimensional data, and, in those using…

Few methods have been tried and used to graphically represent more than two variables. This poster session showed a new method for representing three continuous variables on a single scatterplot using the THREEDE computer program. Two variables are represented as a normal bivariate distribution. The third variable is represented by a symbol, e.g.…

Canonical correlation analysis is a powerful statistical method subsuming other parametric significance tests as special cases, and which can often best honor the complex reality to which most researchers wish to generalize. However, it has been suggested that the canonical correlation coefficient is positively biased. A Monte Carlo study…

This report investigates the appropriateness of using the General Technical (GT) composite of the Armed Services Vocational Aptitude Battery (ASVAB) as a reenlistment criterion. Three aptitude measures, all ASVAB composites, were compared to measures of proficiency in job performance: the Armed Forces Qualification Test (AFQT), the GT, and the…

The issues in the interpretation of discriminant analyses presented are restricted to the typical uses of discriminant analysis by behavioral science researchers. Because behavioral researchers use computer programs packages, the issues discussed deal with information obtainable from the package discriminant analysis programs. The following issues…

The attitudes of teachers of the middle grades (grades 6, 7, and 8) are compared, along various dimensions, to those of elementary and high school teachers in this study. The sample consisted of 73 graduates of the University of Cincinnati teacher education programs employed as teachers in the metropolitan Cincinnati (Ohio) area. All of the…

This paper presents two extensions of the full-rank multivariate linear model that are particularly useful in multivariate analysis of covariance (MANCOVA) and repeated measurements designs. After a review of the basic full-rank model, an extension is described which allows restrictions of a more general nature. This model is useful in the…

Adolescents' actual and perceived weights were examined in relation to why adolescents think they weigh what they do, where adolescents obtain weight control information, and adolescents' weight locus of control. Significant chi-square differences were found between weight locus of control orientations and actual and perceived weight categories.…

In this paper, scores from the Department of Education's table, "State Education Statistics," are examined to see if they can be used for state-by-state comparisons to aid in the evaluation of educational policies that vary across states. (Author/LMO)

Current practice in structural modeling of variables is limited to means and covariances based on multivariate normality assumptions. This article extends structural equation models to higher order product moments and to non-normal distributions. Areas of possible research are described. (Author/JKS)

Tau, Lambda, and Kappa are measures developed for the analysis of discrete multivariate data of the type represented by stimulus response confusion matrices. The accuracy with which they may be estimated from small sample confusion matrices is investigated by Monte Carlo methods. (Author/LMO)

While the author and Raymond Cattell approach personality study differently, their similar conclusions reveal their constructs and theories as complimentary, not contradictory. They agree on major issues: the existence of general personality traits with consistent associated behaviors, the relevance of multivariate studies, and the importance of…

Investigated the distribution of self-injury in London, Ontario. Multivariate analysis revealed that living arrangements, such as high housing density and single-person households, and low socioeconomic status were closely related to inflated self-injury rates. Self-injury occurred more frequently in the inner city. (JAC)