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E-grāmata: Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC)

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This book builds upon a previously-successful 2008 conference and resulting 2010 Wiley book, Survey Methods in Multinational, Multiregional and Multicultural Contexts (Harkness), recent winner of the 2013 American Association of Public Opinion and Research (AAPOR) Book Award. It is the by-product of a similar conference, which was held eight years later. Since the 2008 conference, there have been substantial methodological, operational and technical advances in international survey research. There are also whole new areas of methodological development that were only on the horizon when the last book was completed. For example, the use of 'big data' in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques are all new topics since 2008, which have yet to be addressed in a multi-cultural environment and are now reflected in this up-dated version of the subject. One of the book’s aims is to develop best practices in new areas of development including papers on agricultural surveys, which are frequently conducted in developing countries and have many methodological challenges that are now being met with innovative (and inexpensive) technologies; eHealth in resource poor countries, many combining surveys with public health interventions; and national statistics from third-world countries such as Africa, South America, and Asia. It is written by over two-dozen of the world’s foremost authorities in their respective fields.

Preface xix
Notes on Contributors xxiii
Section I introduction 1(64)
1 The Promise and Challenge of 3MC Research
3(10)
Timothy P. Johnson
Beth-Ellen Pennell
Ineke A.L. Stoop
Brita Dorer
1.1 Overview
3(1)
1.2 The Promise
4(1)
1.3 The Challenge
5(2)
1.4 The Current Volume
7(3)
References
10(3)
2 Improving Multinational, Multiregional, and Multicultural (3MC) Comparability Using the Total Survey Error (TSE) Paradigm
13(32)
Tom W. Smith
2.1 Introduction
13(1)
2.2 Concept of Total Survey Error
14(2)
2.3 TSE Interactions
16(2)
2.4 TSE and Multiple Surveys
18(1)
2.5 TSE Comparison Error in Multinational Surveys
18(4)
2.6 Components of TSE and Comparison Error
22(1)
2.7 Obtaining Functional Equivalence and Similarity in Comparative Surveys
22(2)
2.8 Challenges of Multinational Survey Research
24(1)
2.9 Language
24(4)
2.10 Structure
28(1)
2.11 Culture
29(2)
2.12 Resources for Developing and Testing Cross-national Measures
31(1)
2.13 Designing and Assessing Scales in Cross-national Survey Research
31(4)
2.14 TSE and the Multilevel, Multisource Approach
35(1)
2.15 Documentation
36(1)
2.16 Conclusion
37(1)
References
38(7)
3 Addressing Equivalence and Bias in Cross-cultural Survey Research Within a Mixed Methods Framework
45(20)
Jose-Luis Padilla
Isabel Benitez
Fons J.R. van de Vijver
3.1 Introduction
45(2)
3.2 Equivalence and Comparability: Supporting Validity of the Intended Interpretations
47(6)
3.3 A Comprehensive Approach to Bias Analysis in 3MC Surveys Within a Mixed Methods Research Framework
53(6)
3.4 Closing Remarks
59(1)
References
60(5)
Section II Sampling Approaches 65(48)
4 Innovative Sample Designs Using GIS Technology
67(26)
Stephanie Eckman
Kristen Himelein
Jill A. Dever
4.1 Introduction
67(5)
4.2 Cluster Selection Stage
72(7)
4.3 Household Stage
79(7)
4.4 Discussion
86(2)
References
88(4)
GIS and Remote Sensing Data Resources
92(1)
5 Within-household Selection of Respondents
93(20)
Achim Koch
5.1 Introduction
93(1)
5.2 Within-household Respondent Selection Methods
94(6)
5.3 Within-household Selection Methods in Cross-national Surveys: The Case of ESS
100(6)
5.4 A Few Practical Challenges of Within-household Sampling in Cross-national Surveys
106(1)
5.5 Summary and Recommendations
107(2)
References
109(4)
Section III Cross-cultural Questionnaire Design and Testing 113(180)
6 Overview of Questionnaire Design and Testing
115(24)
Julie A.J. de Jong
Brita Dorer
Sunghee Lee
Ting Yan
Ana Villar
6.1 Introduction
115(1)
6.2 Review of Questionnaire Design and Testing in a Comparative Context
116(8)
6.3 Advances in Questionnaire Design and Testing
124(9)
6.4 Conclusions
133(1)
References
133(6)
7 Sensitive Questions in Comparative Surveys
139(22)
Anna V. Andreenkova
Debra Javeline
7.1 Sensitivity Issues in a Comparative Context
139(1)
7.2 The Definition of Sensitivity
140(2)
7.3 Approaches to Minimizing the Effect of Sensitivity
142(5)
7.4 Measuring Sensitivity in Cross-national Contexts
147(1)
7.5 New Evidence of Cross-national Sensitivity: SQS Project
148(4)
7.6 Understanding Sensitivity
152(3)
7.7 Summary
155(1)
References
156(5)
8 Implementing a Multinational Study of Questionnaire Design
161(20)
Henning Silber
Tobias H. Stark
Annelies G. Blom
Jon A. Krosnick
8.1 Introduction
161(1)
8.2 Scope of the MSQD
162(2)
8.3 Design of the MSQD
164(1)
8.4 Experiments Implemented in the MSQD
165(5)
8.5 Translation Requirements and Procedures
170(1)
8.6 Findings on Feasibility and Limitations Due to Translations and Required Adaptations
171(2)
8.7 Example Results
173(3)
8.8 Conclusion
176(1)
Acknowledgments
177(1)
References
177(4)
9 Using Anchoring Vignettes to Correct for Differential Response Scale Usage in 3MC Surveys
181(22)
Mengyao Hu
Sunghee Lee
Hongwei Xu
9.1 Introduction
181(1)
9.2 Reporting Heterogeneity
182(1)
9.3 Anchoring Vignettes: Design and Analysis
183(4)
9.4 Validity of the Model Assumptions
187(1)
9.5 Practical Issues
188(1)
9.6 Empirical Demonstration of the Anchoring Vignette Method
189(5)
9.7 Sensitivity Analysis: Number of Vignettes and Choices of Vignette Intensity
194(2)
9.8 Discussion and Conclusion
196(3)
References
199(4)
10 Conducting Cognitive Interviewing Studies to Examine Survey Question Comparability
203(24)
Kristen Miller
10.1 Introduction
203(1)
10.2 Cognitive Interviewing as a Study in Validity
204(6)
10.3 Conducting a Comparative Cognitive Interviewing Study
210(3)
10.4 Real-World Application
213(10)
10.5 Conclusion
223(1)
References
224(3)
11 Setting Up the Cognitive Interview Task for Non-English-speaking Participants in the United States
227(24)
Hyunjoo Park
Patricia L. Goerman
11.1 Introduction
227(1)
11.2 Differences in Communication Styles Across Languages and Cultures
228(3)
11.3 Implications of Cross-cultural Differences in Survey Pretesting
231(1)
11.4 Setting up the Cognitive Interview Task for Non-English-speaking Participants
232(12)
11.5 Discussion and Recommendations for Future Studies
244(2)
Disclaimer
246(1)
Acknowledgment
246(1)
References
247(4)
12 Working Toward Comparable Meaning of Different Language Versions of Survey Instruments: Do Monolingual and Bilingual Cognitive Testing Respondents Help to Uncover the Same Issues?
251(20)
Patricia L. Goerman
Mikelyn Meyers
Mandy Sha
Hyunjoo Park
Alisu Schoua-Glusberg
12.1 Introduction
251(1)
12.2 Review of the Literature
252(1)
12.3 Motivation for the Current Study: US Census Bureau Spanish Usability Testing
253(2)
12.4 The Monolingual and Bilingual Cognitive Testing Study
255(10)
12.5 Results of the Cognitive Testing 2S
S9
12.6 Summary and Conclusions
265(1)
12.7 Future Research
266(1)
Disclaimer
267(1)
Acknowledgment
267(1)
References
267(4)
13 Examining the Comparability of Behavior Coding Across Cultures
271(22)
Timothy P. Johnson
Allyson Holbrook
Young Ik Cho
Sharon Shavitt
Noel Chavez
Saul Weiner
13.1 Introduction
271(4)
13.2 Methods
275(5)
13.3 Results
280(6)
13.4 Discussion
286(3)
Acknowledgments
289(1)
References
289(4)
Section IV Languages, Translation, and Adaptation 293(92)
14 How to Choose Interview Language in Different Countries
295(30)
Anna V. Andreenkova
14.1 Introduction
295(2)
14.2 The Issue of Multilingualism
297(1)
14.3 Current Practice of Language Choice in Comparative Surveys
298(8)
14.4 Using a Language Survey for Decisions About Language Choice for an Interview: Example of Post-Soviet Region
306(11)
14.5 The Choice of Interview Language on the Level of Individual Respondent
317(2)
14.6 Summary
319(1)
References
320(5)
15 Can the Language of Survey Administration Influence Respondents' Answers?
325(16)
Emilia Peytcheva
15.1 Introduction
325(1)
15.2 Language, Cognition, and Culture
326(1)
15.3 Language of Administration in Surveys of Bilingual Bicultural Respondents
327(1)
15.4 Data and Methods
328(2)
15.5 Results
330(3)
15.6 Discussion and Conclusions
333(4)
References
337(4)
16 Documenting the Survey Translation and Monitoring Process
341(16)
Dorothee Behr
Steve Dept
Elica Krajceva
16.1 Introduction
341(1)
16.2 Key Concepts
342(2)
16.3 Case Study: The ESENER-2 Study
344(2)
16.4 Translation Documentation from a Project Management Perspective
346(1)
16.5 Translation Documentation from the Perspective of Translation Teams
347(2)
16.6 Translation Documentation from the Perspective of Applied Translation Research
349(2)
16.7 Translation Documentation from the Perspective of Data Analysts
351(1)
16.8 Summary and Outlook
352(1)
References
353(4)
17 Preventing Differences in Translated Survey Items Using the Survey Quality Predictor
357(28)
Diana Zavala-Rojas
Willem E. Saris
Irmtraud N. Gallhofer
17.1 Introduction
357(2)
17.2 Equivalence in Survey Translation
359(3)
17.3 Cross-cultural Survey Translation and Translation Assessment
362(3)
17.4 Formal Characteristics of a Survey Item
365(4)
17.5 Using SQP: A Five-step Procedure for Comparing Item Characteristics Across Languages
369(1)
17.6 Questions Evaluated in the ESS Round 5, Round 6, and Round 7
370(7)
17.7 Discussion
377(2)
References
379(6)
Section V Mixed Mode and Mixed Methods 385(70)
18 The Design and Implementation of Mixed-mode Surveys
387(22)
Edith D. de Leeuw
Z. Tuba Suzer-Gurtekin
Joop J. Hox
18.1 Introduction
387(3)
18.2 Consequences of Mixed-mode Design
390(4)
18.3 Designing for Mixed Mode
394(4)
18.4 Auxiliary Data for Assessing and Adjusting Mode Effects
398(4)
18.5 Conclusions
402(1)
Acknowledgment
403(1)
References
403(6)
19 Mixed-mode Surveys: Design, Estimation, and Adjustment Methods
409(22)
Z. Tuba Suzer-Gurtekin
Richard Valliant
Steven G. Heeringa
Edith D. de Leeuw
19.1 Introduction
409(6)
19.2 Methods
415(7)
19.3 Results
422(3)
19.4 Discussion and Conclusions
425(1)
References
426(5)
20 Mixed Methods in a Comparative Context: Technology and New Opportunities for Social Science Research
431(24)
Nathalie E. Williams
Dirgha J. Ghimire
20.1 Introduction
431(2)
20.2 Mixed Methods Data Collection Redefined
433(1)
20.3 Considerations about Alternate Sources of Data
434(3)
20.4 Examples of Social Science Research Using New Technologies
437(7)
20.5 Linking Alternative and Survey Data
444(2)
20.6 Mixed Methods with Technologically Collected Data in the 3MC Context
446(2)
20.7 Conclusions
448(1)
Acknowledgments
448(1)
References
449(6)
Section VI Response Styles 455(64)
21 Cross-cultural Comparability of Response Patterns of Subjective Probability Questions
457(20)
Sunghee Lee
Florian Keusch
Norbert Schwarz
Mingnan Liu
Z. Tuba Suzer-Gurtekin
21.1 Introduction
457(2)
21.2 State-of-art Application of Subjective Probability Questions in Surveys
459(2)
21.3 Policy Relevance of Subjective Probability Questions
461(1)
21.4 Measurement Mechanism for Subjective Probability Questions
462(1)
21.5 Data and Methods
463(2)
21.6 Results
465(4)
21.7 Discussion
469(1)
References
470(7)
22 Response Styles in Cross-cultural Surveys
477(24)
Mingnan Liu
Z. Tuba Suzer-Gurtekin
Florian Keusch
Sun ghee Lee
22.1 Introduction
477(2)
22.2 Data and Measures
479(1)
22.3 OLS Regression Analysis
480(3)
22.4 Confirmatory Factor Analysis
483(2)
22.5 Latent Class Analysis
485(4)
22.6 Multidimensional Unfolding Model
489(4)
22.7 Discussion and Conclusion
493(2)
References
495(6)
23 Examining Translation and Respondents' Use of Response Scales in 3MC Surveys
501(18)
Ting Yan
Mengyao Hu
23.1 Introduction
501(3)
23.2 Data and Methods
504(3)
23.3 Results
507(6)
23.4 Discussion
513(3)
References
516(3)
Section VII Data Collection Challenges and Approaches 519(186)
24 Data Collection in Cross-national and International Surveys: Regional Case Studies
521(12)
Kristen Cibelli Hibben
Beth-Ellen Pennell
Sarah M. Hughes
Yu-chieh Lin
Jennifer Kelley
24.1 Introduction
521(1)
24.2 Recent Developments in Survey Data Collection
522(2)
24.3 Data Collection Challenges Faced in Different Regions of the World
524(6)
24.4 Future Directions
530(1)
References
531(2)
25 Survey Data Collection in Sub-Saharan Africa (SSA): Challenges, Strategies, and Opportunities
533(22)
Sarah M. Hughes
Yu-chieh Lin
25.1 Introduction
533(1)
25.2 Overview of Common Challenges and Solutions in Data Collection in Sub-Saharan Africa
534(10)
25.3 Strategies and Opportunities
544(2)
25.4 Future Developments
546(2)
References
548(7)
26 Survey Challenges and Strategies in the Middle East and Arab Gulf Regions
555(14)
Justin Gengler
Kien Trung Le
David Howell
26.1 Introduction
555(2)
26.2 Household and Within-household Sampling
557(4)
26.3 Interviewer-Respondent Gender Matching
561(1)
26.4 Nationality-of-interviewer Effects
562(2)
26.5 Response Scale Heterogeneity
564(1)
26.6 Conclusion: Outstanding Challenges and Future Directions
565(1)
References
566(3)
27 Data Collection in Cross-national and International Surveys: Latin America and the Caribbean
569(14)
J. Daniel Montalvo
Mitchell A. Seligson
Elizabeth J. Zechmeister
27.1 Introduction
569(1)
27.2 Survey Research in the Latin America and Caribbean Region
570(3)
27.3 Confronting Challenges with Effective Solutions
573(6)
27.4 New Opportunities
579(2)
27.5 Conclusion
581(1)
References
581(2)
28 Survey Research in India and China
583(14)
Charles Q. Lau
Ellen Marks
Ashish Kumar Gupta
28.1 Introduction
583(1)
28.2 Social Science Surveys in India and China
584(2)
28.3 Organizational Structure of Surveys
586(2)
28.4 Sampling for Household Surveys
588(2)
28.5 Permission and Approvals
590(2)
28.6 Linguistic Issues
592(1)
28.7 Future Directions: New Modes of Data Collection
593(2)
References
595(2)
29 Best Practices for Panel Maintenance and Retention
597(26)
Nicole Watson
Eva Leissou
Heidi Guyer
Mark Wooden
29.1 Introduction
597(1)
29.2 Retention Rates
597(7)
29.3 Panel Maintenance Strategies
604(9)
29.4 Study Development and the Harmonization of Field Practices
613(1)
29.5 Conclusion
614(2)
References
616(7)
30 Collection of Biomeasures in a Cross-national Setting: Experiences in SHARE
623(20)
Luzia M. Weiss
Joseph W. Sakshaug
Axel Borsch-Supan
30.1 Introduction
623(1)
30.2 Background
623(2)
30.3 Types of Biomeasures Collected
625(2)
30.4 Logistic Considerations
627(3)
30.5 Quality Assurance Procedures
630(6)
30.6 Ethical and Legal Issues Across Countries
636(3)
30.7 Summary and Conclusions
639(1)
Acknowledgments
640(1)
References
640(3)
31 Multinational Event History Calendar Interviewing
643(22)
Yfke P. Ongena
Marieke Haan
Wil Dijkstra
31.1 Introduction
643(1)
31.2 EHC Interviews in a Multinational Setting
644(3)
31.3 EHC Interview Administration
647(1)
31.4 EHC Interviewer Training
648(1)
31.5 Interviewer Monitoring in an International Survey
649(3)
31.6 Coding Procedures
652(1)
31.7 Evaluation of Interviewer Behavior
653(1)
31.8 Feedback Processing Speed
654(2)
31.9 Effects of Feedback and Interviewer Effects Across Countries
656(1)
31.10 Use of Different Cross-checks Across Countries
657(1)
31.11 Discussion
658(4)
References
662(3)
32 Ethical Considerations in the Total Survey Error Context
665(18)
Julie A.J. de Jong
32.1 Introduction
665(2)
32.2 Ethical Considerations and the TSE Framework
667(2)
32.3 Origins and Framework of Human Subjects Protection Standards
669(3)
32.4 The Belmont Report and the Components of Human Subjects Protection
672(6)
32.5 Final Remarks
678(1)
Acknowledgment
679(1)
References
679(4)
33 Linking Auxiliary Data to Survey Data: Ethical and Legal Challenges in Europe and the United States
683(22)
Kirstine Kolsrud
Linn-Merethe Rod
Katrine U. Segadal
33.1 Introduction
683(2)
33.2 Ethical Guidelines and Legal Framework
685(3)
33.3 What Constitutes Personal Data?
688(1)
33.4 Confidentiality
689(3)
33.5 Consent
692(5)
33.6 Concluding Remarks
697(2)
References
699(6)
Section VIII Quality Control and Monitoring 705(102)
34 Organizing and Managing Comparative Surveys
707(24)
Lesli Scott
Peter Ph. Mohler
Kristen Cibelli Hibben
34.1 Introduction
707(1)
34.2 Background
708(1)
34.3 Factors That Impact 3MC Survey Organization and Management
709(5)
34.4 General Considerations and Survey Quality When Applying Project Management to 3MC Surveys
714(6)
34.5 The Application of Project Management to 3MC Surveys
720(7)
34.6 Conclusion
727(1)
References
727(4)
35 Case Studies on Monitoring Interviewer Behavior in International and Multinational Surveys
731(40)
Zeina Mneimneh
Lars Lyberg
Sharon Sharma
Mahesh Vyas
Dhananjay Bal Sathe
Frederic Molter
Yasmin Altwaijri
35.1 Introduction
731(6)
35.2 Case Studies
737(28)
35.3 Conclusion
765(2)
References
767(4)
36 New Frontiers in Detecting Data Fabrication
771(36)
Michael Robbins
36.1 Introduction
771(9)
36.2 Standard Approaches to Detecting Data Falsification
780(9)
36.3 Approaches to Preventing Falsification
789(3)
36.4 Additional Challenges
792(2)
36.5 New Frontiers in Detecting Fraud
794(5)
36.6 A Way Forward
799(3)
References
802(5)
Section IX Nonresponse 807(72)
37 Comparing Nonresponse and Nonresponse Biases in Multinational, Multiregional, and Multicultural Contexts
809(26)
James Wagner
Ineke A.L. Stoop
37.1 Introduction
809(1)
37.2 Harmonization
810(5)
37.3 Data Collection Factors
815(10)
37.4 Assessment of Risk of Nonresponse Bias
825(1)
37.5 Post-survey Adjustment
826(1)
37.6 Conclusion
827(2)
References
829(6)
38 Geographic Correlates of Nonresponse in California: A Cultural Ecosystems Perspective
835(24)
Matt Jans
Kevin McLaughlin
Joseph Viana
David Grant
Royce Park
Ninez A. Ponce
38.1 Introduction
835(4)
38.2 Data and Methods
839(6)
38.3 Results
845(2)
38.4 Discussion and Limitations
847(5)
References
852(7)
39 Additional Languages and Representativeness
859(20)
Oliver Lipps
Michael Ochsner
39.1 Introduction
859(3)
39.2 Data
862(1)
39.3 Methods
863(2)
39.4 Results
865(8)
39.5 Summary and Conclusion
873(2)
References
875(4)
Section X Multi-group Analysis 879(52)
40 Measurement Invariance in International Large-scale Assessments: Integrating Theory and Method
881(30)
Deana Desa
Fons J.R. van de Vijver
Ralph Carstens
Wolfram Schulz
40.1 Introduction
881(2)
40.2 Measurement Invariance Review
883(2)
40.3 Advances in Measurement Invariance
885(4)
40.4 The Stepwise Procedure
889(3)
40.5 Evaluation Criteria
892(2)
40.6 An Example
894(10)
40.7 Conclusion
904(2)
References
906(5)
41 Approximate Measurement Invariance
911(20)
Kimberley Lek
Daniel Oberski
Eldad Davidov
Jan Cieciuch
Daniel Seddig
Peter Schmidt
41.1 Introduction
911(3)
41.2 The Multigroup Confirmatory Factor Analysis
914(1)
41.3 Illustration
915(8)
41.4 Discussion and Conclusion
923(2)
Acknowledgment
925(1)
References
925(6)
Section XI Harmonization, Data Documentation, and Dissemination 931(122)
42 Data Harmonization, Data Documentation, and Dissemination
933(4)
Peter Granda
Reference
936(1)
43 Basic Principles of Survey Data Recycling
937(26)
Kazimierz M. Slomczynski
Irma Tomescu-Dubrow
43.1 Introduction
937(2)
43.2 The Process of Survey Data Recycling
939(3)
43.3 The Logic of SDR
942(7)
43.4 Using SDR in Constructing the Harmonized Dataset
949(6)
43.5 Conclusions
955(1)
Acknowledgments
956(1)
References
957(6)
44 Survey Data Harmonization and the Quality of Data Documentation in Cross-national Surveys
963(22)
Marta Kolczyriska
Matthew Schoene
44.1 Introduction
963(2)
44.2 Standards for Describing the Survey Process from Sampling to Fieldwork
965(3)
44.3 Basis of Quality Assessment in the SDR Project
968(4)
44.4 Results
972(8)
44.5 Concluding Remarks
980(1)
References
981(4)
45 Identification of Processing Errors in Cross-national Surveys
985(26)
Olena Oleksiyenko
Ilona Wysmulek
Anastas Vangeli
45.1 Introduction
985(4)
45.2 Data and Methods
989(6)
45.3 Results
995(11)
45.4 Conclusions
1006(1)
Acknowledgments
1007(1)
References
1008(3)
46 Item Metadata as Controls for Ex Post Harmonization of International Survey Projects
1011(24)
Marta Kolzyriska
Kazimierz M. Slomczynski
46.1 Introduction
1011(1)
46.2 Harmonization Controls and Item Quality Controls
1012(1)
46.3 The Case for Using Item Metadata
1013(2)
46.4 Application: Trust in Parliament and Participation in Demonstrations
1015(1)
46.5 Harmonization Controls
1015(7)
46.6 On the Impact of Harmonization Controls
1022(3)
46.7 Item Quality Controls
1025(2)
46.8 Summary and Conclusions
1027(4)
Acknowledgments
1031(1)
References
1031(4)
47 The Past, Present, and Future of Statistical Weights in International Survey Projects: Implications for Survey Data Harmonization
1035(18)
Marcin W. Zielinski
Przemek Powalko
Marta Kolczynska
47.1 Introduction
1035(1)
47.2 Weighting as a Procedure of Improving Data Quality
1036(1)
47.3 Availability of Weights and Weight Types in International Survey Projects
1037(3)
47.4 Quality of Statistical Weights and Consequences of Errors
1040(6)
47.5 Comparability of Weights or Weighted Data
1046(4)
47.6 Summary
1050(1)
Acknowledgments
1051(1)
References
1051(2)
Section XII Looking Forward 1053(30)
48 Prevailing Issues and the Future of Comparative Surveys
1055(28)
Lars Lyberg
Lilli Japec
Can Tongur
48.1 Introduction
1055(4)
48.2 Examples of 3MC Surveys
1059(3)
48.3 Data Quality and Some Special Features of 3MC Surveys
1062(4)
48.4 Roger Jowell's Ten Golden Rules for Cross-national Studies
1066(1)
48.5 Quality Management
1067(4)
48.6 A Changing Survey Landscape
1071(1)
48.7 Big Data
1072(3)
48.8 Summary of Prevailing Problems
1075(2)
48.9 Endnote
1077(1)
References
1077(6)
Wiley Series In Survey Methodology 1083(4)
Index 1087
Timothy P. Johnson, PhD, Director of the Survey Research Laboratory and Professor of Public Administration, University of Illinois at Chicago.

Beth-Ellen Pennell, Director of International Survey Operations at the Survey Research Center, Institute for Social Research, University of Michigan.

Ineke A. L. Stoop, PhD, Head Methodology Department at The Netherlands Institute for Social Research|SCP and member of the Core Scientific Team of the European Social Survey.

Brita Dorer, researcher at GESIS - Leibniz Institute for the Social Sciences in Mannheim, Germany and head of the translation team of the European Social Survey (ESS).