Complex decision-making environments often demand that a range of alternative strategies be identified and compared for their shared value in achieving desired ends. Simple parametric statistical procedures such as analysis of variance and discriminant function analysis can be used in such situations to compare (using selected criteria) the value…

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…

A review of 26 multivariate or "production function" studies provides the basis for this discussion of the determinants of student cognitive achievement in developing countries. The paper describes the studies and reviews the results for each of the major determinants of academic achievement--schooling characteristics, teacher attributes, and…

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…

This investigation examined the three-year stability of WISC-R IQs for a balanced sample of Anglo, Black, and Mexican-American handicapped children. No significant differences in mean IQs were found across the three ethnic groups, although WISC-R Verbal and Performance IQs varied significantly over the test-retest period. (Author/BS)

Discussion of attitudes of pre-service teachers toward the use of computers focuses on a study of 60 college students at Southern Illinois University at Carbondale, which examined the relationship between selected variables (gender and prior computer experience) and computer attitudes (anxiety, confidence, and liking). Recommendations based on the…

Two approaches of statistical testing are critically reviewed. A new approach, which is a hybrid of the two, is proposed. The new approach requires the researcher to think about the two types of potential inferential errors and an explicit alternative hypothesis of interest. (VM)

There is a unity underlying the diversity of models for the analysis of multivariate data. Essentially, they constitute a family of models, most generally nonlinear, for structural/functional relations between variables drawn from a behavior domain. (Author)

The purpose of the current study was to investigate the relative performance of the parametric, rank, and normal scores procedures when the classical assumptions were met and under violations of these assumptions. This investigation included the normal scores as well as the rank test. (LMO)

The effects of examples used with application adjunct questions on concept learning were evaluated. Results indicated that application adjunct questions did not produce significantly higher performance on criterion questions than no-question treatments. Matched adjunct questions produced higher levels of performance on criterion than unmatched…

This overview of the field of personality theory evaluates the important features of Raymond Cattell's work. While there are many areas of agreement between Cattell and other personality theorists, his rejection of traditional clinical methods for measurement and experimentation has created controversy as well as an extraordinarily rich…

Using data from a large sample of college freshmen, the associations between reported closeness to parents and siblings and perceived social competence were examined. Significant positive relationships were found between family bonds and social self-esteem, instrumentality, expressiveness, shyness, and degree of satisfaction and ease in peer…

An alternative approach for program evaluation of small, specialized programs when comparison groups are not available is described. This application is illustrated by presenting the results of an analysis of data from Project Talent, a national manpower study, and discussing its application to the evaluation of a medical training program.…

This investigation examined the effect contextual variables had on a national sample of school board members' information needs for decision making. Importance, conflict, and content were found to be associated with board members' needs for time, information, and consultation. (Author/LMO)

This explorative data mining project used distance based clustering algorithm to study 3 indicators, called OIndex, of student behavioral data and stabilized at a 6-cluster scenario following an exhaustive explorative study of 4, 5, and 6 cluster scenarios produced by K-Means and TwoStep algorithms. Using principles in data mining, the study…