Purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses' grade point averages. (Authors)

Assuming a value added model of education, accountability measures can be developed to improve resource allocation, to more effectively select and assign personnel, and to enhance program evaluation and research. (RA)

Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)

Data from a random sample of principals and superintendents were analyzed to test hypotheses concerning the relationships between self-monitoring and selected personal, organizational, and community variables. Findings were that community urbanity, cost per pupil of programs, and administrator's age are significant predictors of high…

The Leisure Activity Survey is a large national data set collected in 1982 by the Bureau of the Census for the National Endowment for the Arts. Selected preliminary findings are discussed and several other uses of the data set are suggested. (Author/RM)

Measured children's identification with and perceived reality of television characters and children's rating of peers on 11 traits. Found, among other results, that identification with television characters was a significant predictor of the mean evaluation of peers, and that television viewing was a significant predictor of the variance in…

The science achievement scores of a large sample of 13-year-olds were regressed to test a psychological theory of educational productivity, and to explore the usefulness of the National Assessment of Educational Progress data for secondary analysis for policy purposes. (Author/GK)

Questions are raised concerning differences between traditional metric multiple regression, which assumes all variables to be measured on interval scales, and nonmetric multiple regression. The ordinal model is generally superior in fitting derivation samples but the metric technique fits better than the nonmetric in cross-validation samples.…

This paper relates common statistics from contingency table analysis to the more familiar R squared terminology in order to better understand the strength of the relation implied. The method of coding contingency tables was shown, as well as how R squared related to phi, V, and chi squared. (Author/CTM)

Bayesian techniques are adapted to the estimation of stimulus-response curves. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental testing, and with estimation of a stimulus-response curve using data from a psychophysical experiment. (Author/JKS)

This study attempts to determine the relationship between the subtests of the General Education Performance Index (GEPI) and the revised version of the General Educational Development Test (GED), and reports a technique whereby performance on the GEPI may be used to predict performance on the GED. (Author)

Data suggest that voters did recognize the implications of substantial reductions in government expenditures in Proposition 13 and voted to tolerate them. Journal availability: see EA 511 898. (Author/IRT)

The use of general linear regression methods for the analysis of categorical data is recommended. The general linear model analysis of a 0,1 coded response variable produces estimates of the same response probabilities that might otherwise be estimated from frequencies in a multiway contingency table. (Author/CTM)

The application of multiple linear regression to the identification of appropriate criterion variables and the prediction of enrollment in college courses during a period of major rapid decline (1972-1978) are discussed. An example is presented. (Author/JKS)

Presents a new method of measuring the adequacy and equity of school finance systems using the multiple regression technique. It enables the separation of provisions for differences in district wealth from differences in tax rate, and of both of these from the differences in provision for needs and costs. (Author/IRT)