A method of graphing multivariate data, called the star plot, is very useful in educational contexts because it provides teachers and guidance counselors with information not present in unsupplemented student achievement data. The utility of the method can be seen in analysis of data from a study of factors related to the problem-solving ability…

Summarizes comparisons of self-reported interest by gender and experimental condition for middle school students (n=101) who performed scientific experiments under conditions designed to vary across difficulty levels, social contexts, and scenarios of fantasy to realism. Findings indicate that boys were more attentive to aspects of experimental…

A study analyzed data from the International Association for the Evaluation of Educational Achievement survey of 13 year olds from 20 countries to examine gender differences in mathematics achievement. Multivariate analysis indicated differences varied from country to country and a significant difference in favor of boys in geometry achievement.…

Asserts that traditional approaches to multivariate analysis, including standard linear regression techniques, ignore the special character of count data. Explicates three suitable alternatives to standard regression techniques, a simple Poisson regression, a modified Poisson regression, and a negative binomial model. (MJP)

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)

The purpose of this paper is to provide a detailed description of the Monitoring the Future research design, including sampling, data collection procedures, measurement content, and questionnaire format. Monitoring the Future is designed to assess the changing lifestyles, values, and preferences of American youth on a continuing basis. Since the…