Custom cover image
Online Panel Research : A Data Quality Perspective
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Wiley Series in Survey MethodologyPublisher: [s.l.] : Wiley, 2014Edition: 1. AuflDescription: Online Ressource (54205 KB, 512 S.)ISBN:- 1119941776
- 001.4/33 001.433
- 001.4202854678
- 001.4/33 23
- H61.26 .O55 2014
- ZA4228
Contents:
Summary: Provides new insights into the accuracy and value of online panels for completing surveysOver 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 Online Panel Researchpresents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse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.The datasets used to prepare the analyses reported in the chapters are available on the accompanying website: www.wiley.com/go/online_panel?? Covers controversial topics such as professional respondents, speeders, and respondent validation.?? Addresses cutting-edge topics such as the challenge of smartphone survey completion, software to manage online panels, and Internet and mobile ratings panels.?? Discusses and provides examples of comparison studies between online panels and other surveys or benchmarks.?? Describes adjustment techniques to improve sample representativeness.?? Addresses coverage, nonresponse, attrition, and the relationship between nonresponse and measurement error with examples using data from the United States and Europe.?? Addresses practical questions such as motivations for joining an online panel and best practices for managing communications with panelists.?? Presents a meta-analysis of determinants of response quantity.?? Features contributions from 50 international authors with a wide variety of backgrounds and expertise.This book will be an invaluable resource for opinion and market researchers, academic researchers relying on web-based data collection, governmental researchers, statisticians, psychologists, sociologists, and other research practitioners.PPN: PPN: 807242500Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE
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
3.2.3 Online interviewing
No physical items for this record