Most Popular Books by William Berry

A House Dividing: The Lincoln-Douglas Debates of 1858 updates the Lincoln-Douglas debates for the sound-bite era. Instead of 100,000 words, this volume in the Dialogues in History series gives students 20,000 words from the debates. Rather than long, uncontested ramblings, it offers rapid-fire accusations and responses. Despite their reputations as intellectual heavyweights, Lincoln and Douglas were not above mudslinging; their arguments prove surprisingly studded with ad hominem attacks, political grandstanding, and gross appeals to the candidates'' respective bases. Historians generally agree on Civil War causality: a disagreement over the right of slaveholding in the territories caused secession; a disagreement over the right of secession caused the Civil War. A House Dividing places these political disagreements at the center of the narrative. Watching the cut-and-thrust of past political theater draws students into discussions of the continued importance of the political process as the place where the national agenda is set and executed.

Award-winning historian Berry charts the devastating effects of the Civil War on Mary Todd Lincolns family, and the surprising impact this struggle had on the president.

Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student''s second year. William Berry and Mitchell Sanders''s Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.

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