Both the Rule Space Method (RSM) and the Neural Network Model (NNM) are techniques of statistical pattern recognition and classification approaches developed for applications from different fields. RSM was developed in the domain of educational statistics. It started from the use of an incidence matrix Q that characterizes the underlying cognitive…

This study reviewed the statistical practices in published research articles in the Journal of Education for Students Placed at Risk to determine the reporting of effect sizes and structure coefficients. Of the 12 quantitative studies found in the last 3 volumes of the journal, only 3 were identified as using multiple regression analysis. Two of…

Multiple linear regression is used to model the effects of violating statistical assumptions on the likelihood of making a Type I error. This procedure is illustrated for the student's t-test (for independent groups) using data from previous Monte Carlo studies in which the actual alpha levels associated with violations of the normality…

The least mean squares (LS) regression method produced the best linear unbiased estimates under the normal error distribution. However, many researchers have noted that the optimal condition is rarely met in real data analyses. To remedy the impact of potential data contamination, several advantages of the least median squares (LMS) regression are…

Analysis of medical and hospital services utilization revealed no consistent differences in number of physician visits by race, income, education, insurance coverage, or religion of users. Lack of insurance coverage and race were associated with fewer hospitalizations for certain diseases. Symptoms and diagnoses of disease were used to control for…

The form of the Johnson-Neyman region of significance is shown to be determined by the statistic for testing the null hypothesis that the population within-group regressions are parallel. Results are obtained for both simultaneous and nonsimultaneous regions of significance. (Author)

An application of simple linear regression to determine the size of trees from the remaining stumps and tops is described. (MK)

Regression artifacts are a source of mistaken causal inference in inferences based on time-series data and from longitudinal studies. These artifacts are illustrated, and it is noted that their magnitude is computable (and distinguishable from genuine effects) if the autocorrelation patterns for various lags is known. (SLD)

Discusses how taking a multilevel perspective on item response modeling addresses certain analytic problems in using latent variables as outcomes in regression analyses. Application of the models to measurement error in the dependent variable of a between-student regression illustrates the adequacy of some National Assessment of Educational…

Outlines an approach to differential item functioning (DIF) analysis using hierarchical linear regression that makes it possible to combine results of logistic regression analyses across items to identify consistent sources of DIF, to quantify the proportion of explained variation in DIF coefficients, and to compare the predictive accuracy of…

A theoretical framework is developed in which the effects of some common forms of violation of assumptions of linearity of regression and homoscedasticity can be investigated. Simple expressions are derived for the restricted and corrected correlations in terms of the target (unrestricted) correlation in these situations. (SLD)

New methods of analysis--equations and graphs for iso-r(sup 2) contours--were introduced and used to illustrate location effects for pooled data sets. The "r(sup 2)" is the coefficient of determination. Results are used to highlight imprecise statements in the literature about the behavior of the correlation coefficient for pooled data…

Examines the effect of a central cultural value, individualism-collectivism, on social loafing in an organizational setting. In the study, 48 managerial trainees from the United States and China worked under varying conditions of accountability and shared responsibility. Collectivistic beliefs influenced the incidence of social loafing. Includes…

This paper presents an analysis of the stability of principal components. Stability is measured by the expectation of the absolute inner product of the sample principal component with the corresponding population component. The usefulness and predictive validity of the model were supported through simulation. (SLD)

Discusses research with neural networks in the area of finance. Highlights include bond pricing, theoretical exposition of primary bond pricing, bond pricing regression model, and an example that created networks with corporate bonds and NeuralWare Neuralworks Professional H software using the back-propagation technique. (LRW)