The paper cites difficulties in aptitude-treatment interaction (ATI) research which investigates relationships between test performance and the extent of profiting from instruction. Two methods for ATI research (regression analysis and analysis of variance) are described, assumptions and potential mininterpretations are noted, and correct…

The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)

This paper focuses on two methods of performing multiple comparisons (post hoc or unplanned versus a priori or planned) for determining exactly where statistically significant results arise when there are more than "k equals two" groups. Textbook views and recommendations regarding the use of these two types of multiple comparisons are…

Given that theory is a crucial component of path analysis and that major theories in the social sciences either directly or by inference assume interaction, it appears that interaction has to be considered in path analytic models that reflect those theories. The use of interaction within the framework of path analytic methodology is investigated…

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…

ANOVA designs are used for description and/or explanation of developmental phenomena. These consist of taking any two of age, cohort, or time of measurement as independent variables. Employment of ANOVA has led researchers down blind alleys. Regression techniques are more useful. (Author)

The use of analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), and analysis of covariance (ANCOVA) by educational researchers was studied through review of several prominent research journals. The analyses suggest that researchers rarely verify that validity assumptions are satisfied, and typically use analyses that are…

The nature and appropriate application of the technique of multivariate analysis are discussed. More specifically, the intent of the paper is to demystify and explain the use of multivariate analysis as well as provide guidelines for selection of the most effective statistics for use in specific situations. For the purpose of this paper, the term…

The many methodological contributions of Raymond B. Cattell to multivariate analysis are discussed in terms of contemporary issues in structural equation modeling. His factor analytic approach is compared with current modeling practices. A critical evaluation finds much of Cattell's work still innovative, technically advanced, and valuable to…

Applied researchers frequently precede analyses of interest with one or more preliminary tests, used to help researchers determine which variables to examine more closely, or whether there are anomalies in the data set. These texts can be classified into three categories: omnibus tests, tests for model fit, and exploratory tests. Fifty-four…

This memorial article reviews some of E. F. Lindquist's contributions, paticularly as they were presented in his four textbooks on statistics and educational research. These include work on analysis of variance and covariance, multi-factor designs, the sensitivity of the F-test, Latin square designs, and contributions towards generalizability…

This introduction to the theory and application of multivariate analysis is designed to assist institutional researchers who are interested in using these techniques to analyze issues within their respective institutions. A brief introduction to multivariate theory, consisting of a rationale for multivariate statistics and an overview of selected…

A broad range of strategies in sampling, measurement, design, execution, implementation, and analysis are examined. Specific strategies are suggested that tend to be successful in the real world of psychiatric clinical research. (Author)

A framework for understanding methodological practices from the perspectives of internal validity, external validity, statistical control validity, and construct validity is presented. One hundred doctoral dissertations completed between 1980 and 1988 at a single urban public university were analyzed for various methodological practices and types…

Describes a study that was conducted to assess the educational value of simulation gaming in business policy courses. Student and practitioner perceptions of simulation effectiveness are examined and compared; relevant literature is reviewed and research problems are discussed; and the importance of various managerial skills is considered. (30…