Online panel research: a data quality perspective

"Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data. This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial method of collecting data. Online Panel Research presents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse and measurement error, impact of smartphone adoption on data collection, Internet rating panels, and operational issues."--Publisher's description

Wiley Series in Survey Methodology; Title Page; Copyright; Preface; Content of the book; References; Acknowledgments; Companion datasets and book format; References; About the Editors; About the Contributors; Chapter 1: Online panel research: History, concepts, applications and a look at the future; 1.1 Introduction; 1.2 Internet penetration and online panels; 1.3 Definitions and terminology; 1.4 A brief history of online panels; 1.5 Development and maintenance of online panels; 1.6 Types of studies for which online panels are used.

1.7 Industry standards, professional associations' guidelines, and advisory groups1.8 Data quality issues; 1.9 Looking ahead to the future of online panels; References; Chapter 2: A critical review of studies investigating the quality of data obtained with online panels based on probability and nonprobability samples; 2.1 Introduction; 2.2 Taxonomy of comparison studies; 2.3 Accuracy metrics; 2.4 Large-scale experiments on point estimates; 2.5 Weighting adjustments; 2.6 Predictive relationship studies; 2.7 Experiment replicability studies; 2.8 The special case of pre-election polls.

2.9 Completion rates and accuracy2.10 Multiple panel membership; 2.1…