MBA Field Studies offers instruction to MBA students in field research methods and techniques. The topics covered include team management, client relationships, interviewing, library research, questionnaire design, and the written report and oral presentation. The book's final chapter is addressed to faculty supervisors; it describes their roles as counselor, teacher, and judge, providing guidance on how they may be effective in each.

Since 1996 Stephen Gill has been making serial,studies of mundane British scenes and objects -,including cash points, lost people, the back of,advertising billboards and people travelling on,the London to Southend train. His visual approach,is unique, combining conceptual rigour with,enormous sympathy for his human subjects, and has,already been widely appreciated in Granta and the,New York Times Magazine, among others. His first,book confirms his status as a key young vision in,contemporary photography. With an introductory,essay by humorist and TV filmmaker Jon Ronson.

Some primate field studies have been on-going for decades, covering significant portions of individual life cycles or even multiple generations. In this volume, leading field workers report on the history and infrastructure of their projects in Madagascar, Africa, Asia and South America. More importantly, they provide summaries of their long-term research efforts on primate behaviour, ecology and life history, highlighting insights that were only possible because of the long-term nature of the study. The chapters of this volume collectively outline the many scientific reasons for studying primate behaviour, ecology and demography over multiple generations. This kind of research is typically necessitated by the relatively slow life histories of primates. Moreover, a complete understanding of social organization and behaviour, factors often influenced by rare but important events, requires long-term data collection. Finally, long-term field projects are also becoming increasingly important foci of local conservation activities.

"Part review, part testament to extraordinary dedication, and part call to get involved, Cetacean Societies highlights the achievements of behavioral ecologists inspired by the challenges of cetaceans and committed to the exploration of a new world."—from the preface by Richard Wrangham Long-lived, slow to reproduce, and often hidden beneath the water's surface, whales and dolphins (cetaceans) have remained elusive subjects for scientific study even though they have fascinated humans for centuries. Until recently, much of what we knew about cetaceans came from commercial sources such as whalers and trainers for dolphin acts. Innovative research methods and persistent efforts, however, have begun to penetrate the depths to reveal tantalizing glimpses of the lives of these mammals in their natural habitats. Cetacean Societies presents the first comprehensive synthesis and review of these new studies. Groups of chapters focus on the history of cetacean behavioral research and methodology; state-of-the-art reviews of information on four of the most-studied species: bottlenose dolphins, killer whales, sperm whales, and humpback whales; and summaries of major topics, including group living, male and female reproductive strategies, communication, and conservation drawn from comparative research on a wide range of species. Written by some of the world's leading cetacean scientists, this landmark volume will benefit not just students of cetology but also researchers in other areas of behavioral and conservation ecology as well as anyone with a serious interest in the world of whales and dolphins. Contributors are Robin Baird, Phillip Clapham, Jenny Christal, Richard Connor, Janet Mann, Andrew Read, Randall Reeves, Amy Samuels, Peter Tyack, Linda Weilgart, Hal Whitehead, Randall S. Wells, and Richard Wrangham.

This book explains how field research contributes value to political science by exploring scholars' experiences, detailing exemplary practices, and asserting key principles.

A revealing look at the common causes of failures in randomized control experiments during field reseach—and how to avoid them All across the social sciences, from development economics to political science, researchers are going into the field to collect data and learn about the world. Successful randomized controlled trials have brought about enormous gains, but less is learned when projects fail. In Failing in the Field, Dean Karlan and Jacob Appel examine the taboo subject of failure in field research so that researchers might avoid the same pitfalls in future work. Drawing on the experiences of top social scientists working in developing countries, this book describes five common categories of failures, reviews six case studies in detail, and concludes with reflections on best (and worst) practices for designing and running field projects, with an emphasis on randomized controlled trials. Failing in the Field is an invaluable “how-not-to” guide to conducting fieldwork and running randomized controlled trials in development settings.

We have written this book as a guide to the design and analysis of field studies of resource selection, concentrating primarily on statistical aspects of the comparison of the use and availability of resources of different types. Our intended audience is field ecologists in general and, in particular, wildlife and fisheries biologists who are attempting to measure the extent to which real animal populations are selective in their choice of food and habitat. As such, we have made no attempt to address those aspects of theoretical ecology that are concerned with how animals might choose their resources if they acted in an optimal manner. The book is based on the concept of a resource selection function (RSF), where this is a function of characteristics measured on resourceunits such that its value for a unit is proportional to the probability of that unit being used. We argue that this concept leads to a unified theory for the analysis and interpretation of data on resource selection and can replace many ad hoc statistical methods that have been used in the past.