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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2014.
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| Colección: | Wiley series in survey Methodology
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright; Contents; Preface; Acknowledgments; 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; 1.3.1 Types of online panels; 1.3.2 Panel composition; 1.4 A brief history of online panels; 1.4.1 Early days of online panels; 1.4.2 Consolidation of online panels; 1.4.3 River sampling; 1.5 Development and maintenance of online panels; 1.5.1 Recruiting; 1.5.2 Nonprobability panels.
- 1.5.3 Probability-based panels1.5.4 Invitation-only panels; 1.5.5 Joining the panel; 1.5.6 Profile stage; 1.5.7 Incentives; 1.5.8 Panel attrition, maintenance, and the concept of active panel membership; 1.5.9 Sampling for specific studies; 1.5.10 Adjustments to improve representativeness; 1.6 Types of studies for which online panels are used; 1.7 Industry standards, professional associations' guidelines, and advisory groups; 1.8 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 samples2.1 Introduction; 2.2 Taxonomy of comparison studies; 2.3 Accuracy metrics; 2.4 Large-scale experiments on point estimates; 2.4.1 The NOPVO project; 2.4.2 The ARF study; 2.4.3 The Burke study; 2.4.4 The MRIA study; 2.4.5 The Stanford studies; 2.4.6 Summary of the largest-scale experiments; 2.4.7 The Canadian Newspaper Audience Databank (NADbank) experience; 2.4.8 Conclusions for the largest comparison studies on point estimates.
- 2.5 Weighting adjustments2.6 Predictive relationship studies; 2.6.1 The Harris-Interactive, Knowledge Networks study; 2.6.2 The BES study; 2.6.3 The ANES study; 2.6.4 The US Census study; 2.7 Experiment replicability studies; 2.7.1 Theoretical issues in the replication of experiments across sample types; 2.7.2 Evidence and future research needed on the replication of experiments in probability and nonprobability samples; 2.8 The special case of pre-election polls; 2.9 Completion rates and accuracy; 2.10 Multiple panel membership.
- 2.10.1 Effects of multiple panel membership on survey estimates and data quality2.10.2 Effects of number of surveys completed on survey estimates and survey quality; 2.11 Online panel studies when the offline population is less of a concern; 2.12 Life of an online panel member; 2.13 Summary and conclusion; References; Part I Coverage; Introduction to Part I; Chapter 3 Assessing representativeness of a probability-based online panel in Germany; 3.1 Probability-based online panels; 3.2 Description of the GESIS Online Panel Pilot; 3.2.1 Goals and general information; 3.2.2 Telephone recruitment.