Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined.
The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle:
- Surveys and Societies
- Planning a Survey
- Measurement
- Sampling
- Data Collection
- Preparing Data for Use
- Assessing and Improving Data Quality
The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
Зміст
Part I: Basic Principles
1. Introduction – Yang-chih Fu, Dominique Joye, Tom W. Smith and Christof Wolf
2. Survey standards – Tom W. Smith
3. Total survey error: a paradigm for survey methodology – Lars E. Lyberg and Herbert F. Weisberg
4. Challenges of comparative survey research – Timothy P. Johnson and Michael Braun
Part II: Surveys and Societies
5. Surveys and society – Claire Durand
6. Defining and assessing survey climate – Geert Loosveldt and Dominique Joye
7. The Ethical issues of survey and market research – Kathy Joe, Finn Raben and Adam Phillips
8. Observations on the historical development of polling – Kathleen A. Frankovic
Part III: Planning a Survey
9. Research question and designs for survey research – Ben Jann and Thomas Hinz
10. Total survey error paradigm: : Theory and Practice – Paul P. Biemer
11. Survey mode or survey modes? – Edith de Leeuw and Jernej Berzelak
12. Surveying in multi-cultural and multi-national contexts – Beth-Ellen Pennell and Kristen Cibelli-Hibben
13. Surveys in societies in turmoil – Zeina N. Mneimneh, Beth-Ellen Pennell, Jennifer Kelley and Kristen Cibelli-Hibben
Part IV: Measurement
14. What does Measurement Mean in a Survey Context? – Jaak Billiet
15. Cognitive models of answering processes – Kristen Miller and Gordon B. Willis
16. Designing questions and questionnaires – Jolene D. Smyth
17. Creating a good question: how to use cumulative experience – Melanie Revilla, Diana Zavala-Rojas and Willem Saris
18. Designing a mixed-mode survey – Don A. Dillman and Michelle L. Edwards
19. The Translation of Measurement Instruments for Cross-cultural Surveys – Dorothée Behr and Kuniaki Shishido
20. When Translation is not Enough: Background Variables in Comparative Surveys – Silke Schneider, Dominique Joye and Christof Wolf
Part V: Sampling
21. Basics of sampling for survey research – Yves Tillé and Alina Matei
22. Nonprobability sampling – Vasja Vehovar, Vera Toepoel and Stephanie Steinmetz
23. Special challenges of sampling for comparative surveys – Siegfried Gabler and Sabine Häder
Part VI: Data Collection
24. Questionnaire pretesting – Gordon B. Willis
25. Survey fieldwork – Annelies G. Blom
26. Responsive and adaptive designs – François Laflamme and James Wagner
27. Unit nonresponse – Ineke A. L. Stoop
28. Incentives as a possible measure to increase response rates – Michèle Ernst Stähli and Dominique Joye
Part VII: Preparing Data for Use
29. Documenting Survey Data Across the Life Cycle – Mary Vardigan, Peter Granda and Lynette Hoelter
30. Weighting: principles and practicalities – Pierre Lavallée and Jean-François Beaumont
31. Analysis of data from stratified and clustered surveys – Stephanie Eckman and Brady T. West
32. Analytical Potential Versus Data Confidentiality – Finding the Optimal Balance – Heike Wirth
33. Harmonizing Survey Questions Between Cultures and Over Time – Christof Wolf, Silke L. Schneider, Dorothée Behr and Dominique Joye
Part VIII: Assessing and Improving Data Quality
34. Survey data quality and measurement precision – Duane F. Alwin
35. Nonresponse error: detection and correction – Jelke Bethlehem and Barry Schouten
36. Response styles in surveys: understanding their causes and mitigating their impact – Caroline Roberts
37. Dealing with missing values – Martin Spiess
38. Another Look at Survey Data Quality – Victor Thiessen and Jörg Blasius
39. Assessment of cross-cultural comparability – Jan Cieciuch, Eldad Davidov, Peter Schmidt and René Algesheimer
Part IX: Further Issues
40. Data preservation, secondary analysis, and replication: learning from existing data – Lynette Hoelter, Amy Pienta and Jared Lyle
41. Record linkage – Rainer Schnell
42. Supplementing cross-national surveys with contextual data – Jessica Fortin-Rittberger, David Howell, Stephen Quinlan and Bojan Todosijevic
43. The Globalization of surveys – Tom W. Smith and Yang-chih Fu
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