The authors examined the distributional properties of 3 improvement-over-chance, I, effect sizes each derived from linear and quadratic predictive discriminant analysis and from logistic regression analysis for the 2-group univariate classification. These 3 classification methods (3 levels) were studied under varying levels of data conditions,…

Discriminant Analysis (DA) is a tool commonly used for differentiating among 2 or more groups based on 2 or more predictor variables. DA works by finding 1 or more linear combinations of the predictors that yield maximal difference among the groups. One common goal of researchers using DA is to characterize the nature of group difference by…

The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional…

In this article, the authors investigated the relations of students' perceptions of teachers' oral feedback with teacher expectancies and student self-concept. A sample of 1,598 Taiwanese children in Grades 3 to 6 completed measures of student perceptions of teacher oral feedback and school self-concept. Homeroom teachers identified students for…

Studied problems in reporting the use of predictive and descriptive discriminant analyses through an examination of 20 such analyses published from 1998 to 2000. Findings show that results were often very mixed and study purposes were typically not very explicit. (SLD)

A method for comparing the cross-validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the "k"-group classification problem. Separate-group and total-group proportions of correct classifications can be compared for the two rules, as is illustrated. (Author/SLD)

A modified automatic interaction detector (MAID) was combined with discriminant analysis (DA) to form MAIDDA and to determine whether it might improve classification results over classical DA methods. Application of MAIDDA to the 1983 and 1984 Air Force Academy's graduating classes (N = 3,012) showed that it is a promising clustering technique.…

A subset of a real data set was used to illustrate an ad hoc analysis with missing data on multiple response variables. This strategy was initiated with a complete-case analysis to determine some variables that may be deleted with no loss in effects of interest. (SLD)

An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…

It is shown that in the special case of just two criterion groups the predictor variables may be equivalently ordered (with respect to contribution to prediction or discrimination) by the univariate F-ratios and by estimates of the predictor versus the linear discriminant function correlations. (Author)

Research Project at Utica College to identify potential college dropouts using the technique of Multiple Discriminant Analysis. (RY)

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…

Three discriminant analyses were performed for each of the different factors of work values. All dimensions discriminated effectively between liberal arts and engineering students. Liberal arts students tended to focus on general aspects of work, while engineering students maintained values relevant to specific aspects of their perceived jobs.…