Online panel research : a data quality perspective / Callegaro, Mario [and five others], editors.

Format:

Book

Contributor:

Callegaro, Mario, editor.

Series:

Wiley series in survey methodology.

Wiley Series in Survey Methodology

Language:

English

Subjects (All):

Panel analysis.

Internet research.

Marketing research--Methodology.

Marketing research.

Social sciences--Methodology.

Social sciences.

Physical Description:

1 online resource (512 p.)

Edition:

1st ed.

Place of Publication:

West Sussex, England : John Wiley & Sons, 2014.

Language Note:

English

Summary:

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 ye

Contents:

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

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781118763513

1118763513

9781118763520

1118763521

9781118763506

1118763505

OCLC:

867852780