Book description
Explore the practices and cutting-edge research on the new and exciting topic of paradata
Paradata are measurements related to the process of collecting survey data.
Improving Surveys with Paradata: Analytic Uses of Process Information is the most accessible and comprehensive contribution to this up-and-coming area in survey methodology.
Featuring contributions from leading experts in the field, Improving Surveys with Paradata: Analytic Uses of Process Information introduces and reviews issues involved in the collection and analysis of paradata. The book presents readers with an overview of the indispensable techniques and new, innovative research on improving survey quality and total survey error. Along with several case studies, topics include:
Using paradata to monitor fieldwork activity in face-to-face, telephone, and web surveys
Guiding intervention decisions during data collection
Analysis of measurement, nonresponse, and coverage error via paradata
Providing a practical, encompassing guide to the subject of paradata, the book is aimed at both producers and users of survey data. Improving Surveys with Paradata: Analytic Uses of Process The book also serves as an excellent resource for courses on data collection, survey methodology, and nonresponse and measurement error.
Table of contents
- Cover
- Wiley Series in Survey Methodology
- Title Page
- Copyright
- Preface
- Contributors
- Acronyms
- Chapter 1: Improving Surveys with Paradata: Introduction
- Part I: Paradata and Survey Errors
-
Part II: Paradata in Survey Production
-
Chapter 6: Design and Management Strategies for Paradata-Driven Responsive Design: Illustrations from the 2006--2010 National Survey of Family Growth
- 6.1 INTRODUCTION
- 6.2 FROM REPEATED CROSS-SECTION TO CONTINUOUS DESIGN
- 6.3 PARADATA DESIGN
- 6.4 KEY DESIGN CHANGE 1: A NEW EMPLOYMENT MODEL
- 6.5 KEY DESIGN CHANGE 2: FIELD EFFICIENT SAMPLE DESIGN
- 6.6 KEY DESIGN CHANGE 3: REPLICATE SAMPLE DESIGN
- 6.7 KEY DESIGN CHANGE 4: RESPONSIVE DESIGN SAMPLING OF NONRESPONDENTS IN A SECOND PHASE
- 6.8 KEY DESIGN CHANGE 5: ACTIVE RESPONSIVE DESIGN INTERVENTIONS
- 6.9 CONCLUDING REMARKS
- REFERENCES
- Chapter 7: Using Paradata-Driven Models to Improve Contact Rates in Telephone and Face-to-Face Surveys
- Chapter 8: Using Paradata to Study Response to Within-Survey Requests
-
Chapter 9: Managing Data Quality Indicators with Paradata Based Statistical Quality Control Tools: The Keys to Survey Performance
- 9.1 INTRODUCTION
- 9.2 DEFINING AND CHOOSING KEY PERFORMANCE INDICATORS (KPIs)
- 9.3 KPI DISPLAYS AND THE ENDURING INSIGHT OF WALTER SHEWHART
- 9.4 IMPLEMENTATION STEPS FOR SURVEY ANALYTIC QUALITY CONTROL WITH PARADATA CONTROL CHARTS
- 9.5 DEMONSTRATING A METHOD FOR IMPROVING MEASUREMENT PROCESS QUALITY INDICATORS
- 9.6 REFLECTIONS ON SPC, VISUAL DATA DISPLAYS, AND CHALLENGES TO QUALITY CONTROL AND ASSURANCE WITH SURVEY ANALYTICS
- 9.7 SOME ADVICE ON USING CHARTS
- APPENDIX
- ACKNOWLEDGMENTS
- REFERENCES
-
Chapter 10: Paradata as Input to Monitoring Representativeness and Measurement Profiles: A Case Study of the Dutch Labour Force Survey
- 10.1 INTRODUCTION
- 10.2 MEASUREMENT PROFILES
- 10.3 TOOLS FOR MONITORING NONRESPONSE AND MEASUREMENT PROFILES
- 10.4 MONITORING AND IMPROVING RESPONSE: A DEMONSTRATION USING THE LFS
- 10.5 INCLUDING PARADATA OBSERVATIONS ON HOUSEHOLDS AND PERSONS
- 10.6 GENERAL DISCUSSION
- 10.7 TAKE HOME MESSAGES
- ACKNOWLEDGMENTS
- REFERENCES
-
Chapter 6: Design and Management Strategies for Paradata-Driven Responsive Design: Illustrations from the 2006--2010 National Survey of Family Growth
-
Part III: Special Challenges
-
Chapter 11: Paradata in Web Surveys
- 11.1 SURVEY DATA TYPES
- 11.2 COLLECTION OF PARADATA
- 11.3 TYPOLOGY OF PARADATA IN WEB SURVEYS
- 11.4 USING PARADATA TO CHANGE THE SURVEY IN REAL TIME: ADAPTIVE SCRIPTING
- 11.5 PARADATA IN ONLINE PANELS
- 11.6 SOFTWARE TO COLLECT PARADATA
- 11.7 ANALYSIS OF PARADATA: LEVELS OF AGGREGATION
- 11.8 PRIVACY AND ETHICAL ISSUES IN COLLECTING WEB SURVEY PARADATA
- 11.9 SUMMARY AND CONCLUSIONS ON PARADATA IN WEB SURVEYS
- REFERENCES
- Chapter 12: Modeling Call Record Data: Examples from Cross-Sectional and Longitudinal Surveys
- Chapter 13: Bayesian Penalized Spline Models for Statistical Process Monitoring of Survey Paradata Quality Indicators
- Chapter 14: The Quality of Paradata: A Literature Review
- Chapter 15: The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study
-
Chapter 11: Paradata in Web Surveys
- Index
Product information
- Title: Improving Surveys with Paradata: Analytic Uses of Process Information
- Author(s):
- Release date: May 2013
- Publisher(s): Wiley
- ISBN: 9780470905418
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