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Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Huberty, Carl J.; Smith, Jerry D. – 1981
A particular strategy for investigating effects resulting from a multivariate analysis of variance (MANOVA) is proposed. The strategy involves multiple two-group multivariate analyses. The two groups result from considering multivariate pairwise group contrasts or multivariate complex group contrasts. Assuming a given two-group analysis yields…
Descriptors: Analysis of Variance, Comparative Analysis, Discriminant Analysis, Hypothesis Testing
Hahs-Vaughn, Debbie L.; Onwuegbuzi, Anthony J. – Journal of Experimental Education, 2006
Propensity score analysis is one statistical technique that can be applied to observational data to mimic randomization and thus can be used to estimate causal effects in studies in which the researchers have not applied randomization. In this article the authors (a) describe propensity score methodology and (b) demonstrate its application using…
Descriptors: Researchers, Research Methodology, Private Schools, Public Schools
Luna, Andrew L. – Journal of Higher Education, 2006
Researchers have used many statistical models to determine whether an institution's faculty pay structure is equitable, with varying degrees of success. Little attention, however, has been given to court interpretations of statistical significance or to what variables courts have acknowledged should be used in an equity model. This article…
Descriptors: Statistical Significance, Teacher Salaries, Sex Fairness, Comparable Worth

Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research