Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…

The implications of the report are that a knowledge of quantitative areas is becoming increasingly more important in the logistics career fields. Therefore the study has emphasized predicting academic performance in quantitative courses in graduate logistics. It was expected that a useful model of this type, in conjunction with the other models,…

By using complex multiple regression models to generate regression surfaces, the relationships between academic achievement, creativity, and intelligence are examined. Findings indicate that for certain academic subjects creativity is related to achievement up to a threshold level of intelligence, but after the threshold has been reached…

An econometric model is formulated that explains income per person in various compartments of the labor market defined by three main levels of education and by education required. The model enables an estimation of the effect of increased access to education on that distribution. The model is based on a production for the economy as a whole; a…

Historical regression uses the assumption that without intervention, growth at post-test will proceed at the same rate as at pre-test. Several methods of historical regression are compared with an illustrative example. (JKS)

This paper describes an analytical solution to a common problem in aptitude-treatment interaction (ATI). The researcher is often interested in the comparison between treatments for a large set of attributes. If this set is large, the chance of non-orthogonality is correspondingly large. In these circumstances the analysis and interpretation…

The author's previously developed theory on income distribution, in which two of the explanatory variables are the average level and the distribution of education, is refined and tested on data selected and processed by the author and data from three studies by Americans. The material consists of data on subdivisions of three countries, the United…

A stepwise regression technique was used to analyze assessment data while taking differences in nonschool variables across districts into account. The primary 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 school district average…

Multiple sources of complications in the analysis of multilevel educational data are described with emphasis on the determination of a method of analysis that will provide accurate estimates of teacher/class effects even when there are systematic differences in within-class regressions of outcome on input associated with teacher/class…

This paper examines the feasibility of distributing Elementary and Secondary Education Act Title I aid among school districts according to the educational achievement of pupils in each district. The "predicted achievement method" would permit the distribution of aid on the basis of population characteristics in a way that, on average,…

Two approaches for conceptualizing and estimating a contextual model for analyzing student achievement are the separate equation approach and the single equation approach. The separate equation method determines the relationship between the individual-level independent variable and the individual-level dependent variable within each group. It then…

An evaluation system for use with Elementary and Secondary Education Act (ESEA) Title I programs has been developed by RMC Research Corporation of Mountain View, California under contract with USOE. The system presently addresses cognitive achievement impact using three statistical designs, each of which may be implemented using either norm…