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Informationen zum Autor GER SNIJKERS, PhD, is Senior Researcher and Advisor in Business Survey Data Collection Methodology at Statistics Netherlands, after having held various research and project management positions. From 2006-2011, he held the position of Professor of Business Survey Methodology at Utrecht University. GUSTAV HARALDSEN, Mag. Art., is Senior Methodological Advisor in the Department of Data Collection and Methods at Statistics Norway. He previously headed the Division for Interviewing Surveys and the Division of Data Collection Methods. JACQUI JONES, BA (Hons), MSc, is Deputy Director of the Business Indicators and Balance of Payments Division in the UK Office of National Statistics (ONS). Prior to this, she worked in the Methodology Directorate at ONS. DIANE K. WILLIMACK, MS, MA, is Chief of the Response Improvement Research Staff at the Economic Programs Directorate of the U.S. Census Bureau. She previously served as a mathematical statistician and survey methodologist at the National Agricultural Statistics Service (U.S. Department of Agriculture). Additional contributors include Paul Smith (ONS), Deirdre Giesen (Statistics Netherlands), Li Chun Zhang (Statistics Norway), and Mike Hidiroglou (Statistics Canada). Klappentext Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that focuses specifically on business surveys, and sound project management principles. The book brings together what is currently known about planning, designing, and conducting business surveys, with producing and disseminating statistics or other research results from the collected data. This knowledge draws upon a variety of disciplines such as survey methodology, organizational sciences, sociology, psychology, and statistical methods. The contents of the book formulate a comprehensive guide to scholarly material previously dispersed among books, journal articles, and conference papers.This book provides guidelines that will help the reader make educated trade-off decisions that minimize survey errors, costs, and response burden, while being attentive to survey data quality. Major topics include:* Determining the survey content, considering user needs, the business context, and total survey quality* Planning the survey as a project* Sampling frames, procedures, and methods* Questionnaire design and testing for self-administered paper, web, and mixed-mode surveys* Survey communication design to obtain responses and facilitate the business response process* Conducting and managing the survey using paradata and project management tools* Data processing, including capture, editing, and imputation, and dissemination of statistical outputsDesigning and Conducting Business Surveys is an indispensable resource for anyone involved in designing and/or conducting business or organizational surveys at statistical institutes, central banks, survey organizations, etc.; producing statistics or other research results from business surveys at universities, research organizations, etc.; or using data produced from business surveys. The book also lays a foundation for new areas of research in business surveys. Zusammenfassung Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that focuses specifically on business surveys, and sound project management principles. Inhaltsverzeichnis Preface xix Contributors xxiii Abbreviations xxv 1. Surveys and Business Surveys 1 Jacqui Jones, Ger Snijkers, and ...
List of contents
Preface xix
Contributors xxiii
Abbreviations xxv
1. Surveys and Business Surveys 1
Jacqui Jones, Ger Snijkers, and Gustav Haraldsen
1.1. The Objective of this Book, 1
1.2. The Statistical Production Process, 2
1.3. Surveys, 4
1.4. Types of Business Data Outputs, 10
1.5. Use of Business Data Outputs, 16
1.6. Obtaining Business Data, 19
1.7. Business Surveys, 22
1.8. Overview of the Book, 28
Acknowledgments, 33
Appendix, 33
2. The Business Context and its Implications for the Survey Response Process 39
Diane K. Willimack and Ger Snijkers
2.1. The Business Context from the Perspective of the Organizational Sciences, 40
2.2. A Comprehensive Approach Integrating the Business Context and the Survey Response Process, 51
2.3. Summary, 79
Acknowledgments, 82
3. Quality Issues in Business Surveys 83
Gustav Haraldsen
3.1. Survey Quality from a User/producer Perspective, 84
3.2. Sample-Related Quality Issues, 96
3.3. Measurement-Related Quality Issues, 106
3.4. Sample and Measurement Issues Combined, 120
Acknowledgment, 125
4. Planning the Survey 127
Ger Snijkers, Gustav Haraldsen, and Jacqui Jones
4.1. Introduction, 127
4.2. Business Surveys and Project Management Principles, 128
4.3. Specifying and Planning the Survey, 131
4.4. Required Resources, 153
4.5. The Timetable, 153
4.6. Planning Managing, Controlling, Monitoring, and Evaluation of the Survey Project, 154
4.7. Risk Management, 156
4.8. Finalizing the Project Plan and Getting Started, 162
4.9. Summary and Progress Status Overview, 162
Acknowledgment, 163
5. Sampling and Estimation for Business Surveys 165
Paul Smith
5.1. Basic Principles, 165
5.2. Registers and Frames, 167
5.3. Sample Design, 177
5.4. Estimation, 202
5.5. Outliers, 210
5.6. Variance Estimation, 214
5.7. Small Area Estimation, 216
5.8. Summary, 217
Acknowledgments, 218
6. Understanding and Coping with Response Burden 219
Gustav Haraldsen, Jacqui Jones, Deirdre Giesen, and Li-Chun Zhang
6.1. A Cost versus a Cost Benefit Approach, 220
6.2. Measuring and Monitoring Business Response Burden, 226
6.3. An Analytical Approach to Response Burden, 235
6.4. Measures to Reduce Response Burden, 241
Acknowledgments, 252
7. Methods for the Development, Testing, and Evaluation of Data Collection Instruments 253
Diane K. Willimack
7.1. A Framework for Questionnaire Development, Testing, and Evaluation, 254
7.2. Developing Content, Measurements, and Survey Questions, 260
7.3. Testing Questions and Questionnaires, 267
7.4. Evaluating Survey Questions and Questionnaires, 276
7.5. Development, Testing, and Evaluation of Electronic Data Collection Instruments, 282
7.6. Analyzing Qualitative Data, 287
7.7. Multimethod Approaches to Development, Testing, and Evaluation, 290
7.8. Organization and Logistics, 293
7.9. Summary, 295
Acknowledgments, 298
Appendix 7.A.1 Example of Conclusions from Qualitative Data Analysis: Public Trust in Statistics: A Conceptual
Model of Trust Determinants, 298
Appendix 7.A.2 Case Study: Logistics of Questionnaire Pretesting for Economic Survey Programs at the US Census Bureau, 299
8. Questionnaire Communication in Business Surveys 303
Gustav
