Mathematical Statistics With Applications Wackerly, Mendenhall Cengage Learning Editores, S.A. de C.V. |
Fourier Analysis Of Numerical Approximations Of Hyperbolic Equations B. Bowles John Siam. -Society For Industrial And Applied Mathemati |
Boundary Integral And Singularity Methods For Linearized Viscous Flow C. Pozrikidis Cambridge University Press |
Título: Qualitative Disaster Research | ||
Autor: Phillips Brenda | Precio: $608.00 | |
Editorial: Oxford University Press | Año: 2014 | |
Tema: Matematicas Aplicadas | Edición: | |
Sinopsis | ISBN: 9780199796175 | |
The Understanding Research series focuses on the process of writing up social research. The series is broken down into three categories: Understanding Statistics, Understanding Measurement, and Understanding Qualitative Research. The books provide researchers with guides to understanding, writing, and evaluating social research. Each volume demonstrates how research should be represented, including how to write up the methodology as well as the research findings. Each volume also reviews how to appropriately evaluate published research.
Research that occurs in the context of emergencies and disasters requires attention to challenging contexts and circumstances. Qualitative Disaster Research walks readers through the ways in which those contexts can be managed to produce careful, rigorous, and scholarly work. Each chapter provides an overview of approaches, methods, and techniques with illustrations from established disaster studies. Step-by-step instructions outline ways to gather, analyze, and write up qualitative field data. User-friendly examples show readers how to move from initial research ideas to final publication. Throughout the volume, readers find helpful suggestions for a range of field-based scenarios. Qualitative Disaster Research stands out of the first volume of its kind with the singular intent to serve as a guide to those new to or wanting a refresher course in disaster studies. Students and faculty will find the book approachable and ideal for use in training the next generation of disaster researchers. |