Describes the way a relational database management system manages a large historical data collection project. Shows that such databases are practical to construct. States that the programing tasks involved are not for beginners, but the rewards of having data organized are worthwhile. (GG)

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)

Utilizes 19th-century census figures to reveal a more accurate and richer picture of womens' participation in the frontier work environment. Although the occupational classifications accurately reflected the rise of an industrial economy, they ignored womens' entrepreneurial rural efforts. Presents statistical data to rectify this situation. (MJP)