The bloody two-day battle was fought on the doorstep of the Confederate capital. It was the first major combat in the Eastern Theater since Bull Run/Manassas almost a year earlier, left more than 11,000 casualties in its wake, and cost the primary Southern field army its commander. The possession of Richmond hung in its balance. Yet, almost nothing has been written about Seven Pines/Fair Oaks. Victor Vignola’s Contrasts in Command: The Battle of Fair Oaks, May 31–June 1, 1862, which focuses primarily on the Fair Oaks portion of the battle, is a major contribution to the historiography of the war. Maj. Gen. George B. McClellan marched his Army of the Potomac up the Virginia Peninsula during the early spring of 1862 and placed his inexperienced IV Corps at the tip of the spear south of the flood-prone Chickahominy River. McClellan’s opponent Joe Johnston took the opportunity to strike and crafted an overly complex attack plan for his Virginia army to crush the exposed corps. A series of bungled marches, piecemeal attacks, and a lack of assertive leadership doomed the Southern plan. One of the wounded late in the day on May 31 was Johnston, whose injury led to the appointment of Robert E. Lee to take his place—a decision that changed the course of the entire Civil War. Vignola’s use of primary and archival sources, many of which have never been used, helped craft a wholly original tactical and leadership study that directly challenges conventional accounts. His stunning reassessment has led to renewed interest in Fair Oaks and the acquisition of a significant parcel of land by the American Battlefield Trust. Contrasts in Command: The Battle of Fair Oaks, May 31–June 1, 1862, will be hailed as one of the most important tactical studies ever published.

The relationship between military leaders and political leaders has always been a complicated one, especially in times of war. When the chips are down, who should run the show -- the politicians or the generals? In Supreme Command, Eliot Cohen examines four great democratic war statesmen -- Abraham Lincoln, Georges Clemenceau, Winston Churchill, and David Ben-Gurion -- to reveal the surprising answer: the politicians. Great states-men do not turn their wars over to their generals, and then stay out of their way. Great statesmen make better generals of their generals. They question and drive their military men, and at key times they overrule their advice. The generals may think they know how to win, but the statesmen are the ones who see the big picture. Lincoln, Clemenceau, Churchill, and Ben-Gurion led four very different kinds of democracy, under the most difficult circumstances imaginable. They came from four very different backgrounds -- backwoods lawyer, dueling French doctor, rogue aristocrat, and impoverished Jewish socialist.Yet they faced similar challenges, not least the possibility that their conduct of the war could bring about their fall from power. Each exhibited mastery of detail and fascination with technology. All four were great learners, who studied war as if it were their own profession, and in many ways mastered it as well as did their generals. All found themselves locked in conflict with military men. All four triumphed. Military men often dismiss politicians as meddlers, doves, or naifs. Yet military men make mistakes. The art of a great leader is to push his subordinates to achieve great things. The lessons of the book apply not just to President Bush and other world leaders in the war on terrorism, but to anyone who faces extreme adversity at the head of a free organization -- including leaders and managers throughout the corporate world. The lessons of Supreme Command will be immediately apparent to all managers and leaders, as well as students of history.

Corporate responses to environmental challenges are often held directly or indirectly responsible for significant worldwide environmental destruction. Corporations are beginning to respond to environmental and social concerns and are taking these into account. This process, known as the greening of the corporation is fraught with contradictions since the foremost aim of corporations is to earn profits. Robbins analyses the approaches of four major international companies: ARCO Chemical; Ben & Jerry's; Shell; and The Body Shop.

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question. These examples are data-driven inquiries that promote interaction between statistical methods and ideas and computer application. Computer code and output are interwoven in the book to illustrate exactly how each analysis is carried out and how output is interpreted. Additional topical coverage includes: Data exploration of one variable and multivariate data Comparing two groups and many groups Permutation tests, randomization tests, and the independent samples t-Test Bootstrap tests and bootstrap intervals Interval estimates and effect sizes Throughout the book, the authors incorporate data from real-world research studies as well aschapter problems that provide a platform to perform data analyses. A related Web site features a complete collection of the book's datasets along with the accompanying codebooks and the R script files and commands, allowing readers to reproduce the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and graduate level courses on statistical methods, particularlyin the educational and behavioral sciences. The book also serves as a valuable resource for researchers who need a practical guide to modern data analytic and computational methods.