Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

A review of the literature indicates that the Nelson-Denny Reading Test (NDRT) may be a viable instrument for screening students and predicting their academic success in particular circumstances. In 1981, a study was conducted at Schoolcraft College to determine the extent of the relationship between the reading abilities of entering students and…

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)

In pursuit of creating a culture that would contribute to the successful learning outcomes envisioned by the superintendent of the Beaufort County, South Carolina, School District, the author returned to her roots and experiences in organizational development. She discovered an article about McBassi and Co., an agency specializing in the…