Contends that multivariate statistical analyses should be studied and practiced more extensively. Gives several reasons for doing multivariate analysis and discusses two common errors in statistical analysis. Presents examples of how single multivariate analysis can produce different results than do separate univariate analyses and illustrates…

The mathematical extension from scalars to matrices as a prerequisite for univariate to multivariate generalizations of statistical concepts and methods is discussed. One reason for several alternative techniques is the multitude of ways to generalize from univariate concepts to multivariate concepts. The additional complexity, and lack of…

Discusses the role of computer programs which have shaped the development of methodology in psychology. Developments in general statistical inference, data analysis, multivariate methods, measurements, and mathematical models of behavior are described. (KC)

The author contends that model misspecification can occur even after researchers have selected the generally most appropriate class of methods, or general linear model techniques. It is suggested specifically that canonical correlation analysis may provide more meaningful results, as compared with regression, particularly if analysis is augmented…

A survey done properly by accepted and scientifically justifiable techniques can provide information on behalf of the goals of institutional advancement in academe. Deficiencies in institutional research are seen as the result of the lack of guidance on survey design, questionnaire construction, or problem definition in education research texts.…

Reflects on a previous article in this issue that demonstrated the use of log-linear analysis in research investigating categorical variables associated with the study of career development and transition for individuals with disabilities. Initial exposure to and motivation for pursuing the study and use of multivariate categorical data analysis…

This paper describes analytical concepts that can be applied to a comprehensive database containing information on students, teachers, and schools. The concepts are presented in terms of displays, potential inferences, and possible difficulties. Statistical techniques are mentioned, but not rigorously developed. Focus is on displays that can be…

The technique of multivariate analysis is particularly suited to educational needs assessment research because it allows for the summarization of data across any number of learners or components of educational need to produce a single numerical index of need for each skill examined. In the needs assessment process, educational or training need is…