Buch, Englisch, 288 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 442 g
Methods for Research and Fieldwork
Buch, Englisch, 288 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 442 g
ISBN: 978-1-84971-133-3
Verlag: Routledge
Thousands of surveys on rural livelihoods in developing countries are being done every year. Unfortunately, many suffer from weaknesses in methods and problems in implementation. Quantifying households' dependence on multiple environmental resources (forests, bush, grasslands and rivers) is particularly difficult and often simply ignored in the surveys. The results therefore do not reflect rural realities. In particular, 'the hidden harvest' from natural resources is generally too important to livelihoods for development research, policies and practice to ignore. Fieldwork using state-of-the-art methods, and in particular well-designed household questionnaires, thus becomes an imperative to adequately capture key dimensions of rural welfare.
This book describes how to do a better job when designing and implementing household and village surveys for quantitative assessment of rural livelihoods in developing countries. It covers the entire research process from planning to sharing research results. It draws on the experiences from a large global-comparative project, the Poverty Environment Network (PEN), to develop more robust and validated methods, enriched by numerous practical examples from the field. The book will provide an invaluable guide to methods and a practical handbook for students and professionals.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Why Measure Rural Livelihoods and Environmental Dependence? 2. Why do Field Fesearch? 3. Composing a Fesearch Proposal 4. Sampling: Who, How and How Many? 5. Collecting Contextual Information 6. The Division of Labour Between Village, Household and other Surveys 7. Designing the Household Questionnaire 8. Valuing the Priceless: What are Non-marketed Products Worth? 9. Preparing for the Field: Managing and Enjoying Fieldwork 10. Hiring, Training and Managing a Field Team 11. Getting Quality Data 12. Data Entry and Quality Checking 13. An Introduction to Data Analysis 14. Communicating Research for Influence and Impact