Kirjahaku

During the first World War, a flag with a gold star identified families who had lost soldiers. Grieving women were "Gold Star" mothers and widows. Between 1930 and 1933, the United States government took 6,654 Gold Star pilgrims to visit their sons' and husbands' graves in American cemeteries in Belgium, England, and France. Veteran Army officers acted as tour guides, helping women come to terms with their losses as they sought solace and closure. The government meticulously planned and paid for everything from transportation and lodging to menus, tips, sightseeing, and interpreters. Flowered wreaths, flags, and camp chairs were provided at the cemeteries, and official photographers captured each woman standing at her loved one's grave. This work covers the Gold Star pilgrimages from their launch to the present day, beginning with an introduction to the war and wartime burial. Subsequent topics include the legislative struggle and evolution of the pilgrimage bill; personal pilgrimages, including that of the parents of poet Joyce Kilmer; the role of the Quartermaster Corps; the segregation controversy; a close examination of the first group to travel, Party A of May 1930; and the results of the pilgrimage experience as described by participants, observers, organizers, and scholars, researched through diaries, letters, scrapbooks, interviews, and newspaper accounts.

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking. The objective of Missing Data: Analysis and Design is to enable investigators who are non-statisticians to implement modern missing data procedures properly in their research, and reap the benefits in terms of improved accuracy and statistical power. Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. The author lays out missing data theory in a plain English style that is accessible and precise. Most analysis described in the book are conducted using the well-known statistical software packages SAS and SPSS, supplemented by Norm 2.03 and associated Java-based automation utilities. A related web site contains free downloads of the supplementary software, as well as sample empirical data sets and a variety of practical exercises described in the book to enhance and reinforce the reader’s learning experience. Missing Data: Analysis and Design and its web site work together to enable beginners to gain confidence in their ability to conduct missing data analysis, and more advancedreaders to expand their skill set.

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking. The objective of Missing Data: Analysis and Design is to enable investigators who are non-statisticians to implement modern missing data procedures properly in their research, and reap the benefits in terms of improved accuracy and statistical power. Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. The author lays out missing data theory in a plain English style that is accessible and precise. Most analysis described in the book are conducted using the well-known statistical software packages SAS and SPSS, supplemented by Norm 2.03 and associated Java-based automation utilities. A related web site contains free downloads of the supplementary software, as well as sample empirical data sets and a variety of practical exercises described in the book to enhance and reinforce the reader’s learning experience. Missing Data: Analysis and Design and its web site work together to enable beginners to gain confidence in their ability to conduct missing data analysis, and more advancedreaders to expand their skill set.

In Whose Man in Havana? the author offers an unconventional, often dark, but more often hilarious view of diplomacy in settings as varied as Haiti, London, the Dominican Republic, the Balkans, Palestine, Paraguay, Guyana, and Kyrgyzstan, including covert monitoring of Soviet military operations in Cuba on behalf of the CIA with the blessing of President Kennedy and Prime Minister Pearson.In a career that spans the Canadian foreign service and international organizations, he was fortunate to be in the right place at interesting, if turbulent, times. Throughout the book he has focussed on the lighter side of people and places, but almost everywhere the dark side intrudes. Graham makes plain that the intersection of the two is frequently black comedy.