Comments on Kerwin et al.'s article on covariance structure analysis (LISREL). Cautions that much effort must be made in developing the theory that describes the relationships among constructs and in establishing the measurement of these constructs before covariance structure is used. (ABB)

Canonical analysis of two convex polyhedral cones involves looking for two vectors whose square cosine is a maximum. New results about the properties of the optimal solution to this problem are presented. The convergence of an alternating least squares algorithm and properties of limits of calculated sequences are discussed. (SLD)

Compares various base-rate procedures with statistical-significance testing approach used by psychologists. Nonlinear multivariate method is used to determine whether children with a learning disability or emotional disturbance are more likely to show unusual subtest patterns than are children from the normative sample of Wechsler Intelligence…

Problems associated with the use of analysis of covariance (ANCOVA) as a statistical control technique are explained. Three problems relate to the use of "OVA" methods (analysis of variance, analysis of covariance, multivariate analysis of variance, and multivariate analysis of covariance) in general. These are: (1) the wasting of information when…

Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…

An examination of articles in the last 5 years of the "American Educational Research Journal" (AERJ) was conducted to determine the extent to which choices of levels of parameters in a multivariate analysis were comparable to empirical research that uses multivariate analysis of variance (MANOVA). Originally, a main question was to…

A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is implemented within the computer program for canonical correlation analysis called CANALS. The REDUNDALS algorithm is of an alternating least square (ALS) type. The technique is defined as minimization of a squared distance between criterion…

Available from the Comparative Administration Research Institute, Kent State University, Kent, Ohio 44242; $15.00 annually. (IRT)

The author examined the prevalence of multiple operational definitions of outcome constructs and an estimate of the incidence of Type I error rates when univariate procedures were applied to multiple variables in educational psychology. Multiple operational definitions of constructs were advocated and wider use of multivariate analysis was…

Administrators at two-year college and secondary area vocational centers accredited by the Southern Association of Colleges and Schools were surveyed regarding their institutions' actual and ideal involvement in 29 economic development activities. Usable data were collected from 345 administrators, and data from 75 respondents were further…

An exploratory study on the role of extrinsic and intrinsic factors in determining job satisfaction amongst urban secondary-school teachers in Namibia was undertaken. Biographical variables pertaining to the teachers' gender, age, marital status, school resources, teaching experience, academic qualifications, and rank were investigated to…

Canonical correlation analysis is a sophisticated multivariate technique that subsumes all parametric methods (the "t"-test, analysis of variance, analysis of covariance, multivariate analysis of variance, multivariate analysis of covariance, and discriminant analysis) as special cases. This bibliography lists 83 applications of…

Behavioral observation has become increasingly important in research in developmental and clinical psychology, as well as in program evaluation and instructional research. Several statistical approaches to assessing the dependability of behavioral observation were reviewed. The demand for accurate and efficient paradigms for behavioral observation…

Identification and explication of construct relationships, under conditions of extraneous variable control in multiple regression and its multivariate analog, canonical analysis, were studied. Several data models were generated as a function of the interaction of partial correlation and orthogonal linear transformations on nursing examination…

The use of characteristic coding (dummy coding) is made in showing solutions to four multivariate problems using canonical analysis. The canonical variates can be themselves analyzed by the use of multiple linear regression. When the canonical variates are used as criteria in a multiple linear regression, the R2 values are equal to 0, where 0 is…