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Online panel research : a data quality perspective / [edited by] Mario Callegaro...[et al.].

Contributor(s): Material type: TextTextSeries: Wiley series in survey methodologyPublication details: Chichester : John Wiley, c2014.Description: xxix, 477 pages ; 25 cmISBN:
  • 9781119941774 (pbk.)
Subject(s): DDC classification:
  • 001.433 23 C157
Contents:
1. Online panel research: History, concepts, applications anda look at the future 1 Mario Callegaro, Reg Baker, Jelke Bethlehem, Anja S.Goritz, Jon A. Krosnick, and Paul J. Lavrakas-- 2. A critical review of studies investigating the quality ofdata obtained with online panels based on probability andnonprobability samples 23 Mario Callegaro, Ana Villar, David Yeager, and Jon A.Krosnick-- 3. Assessing representativeness of a probability-based onlinepanel in Germany 61 Bella Struminskaya, Lars Kaczmirek, Ines Schaurer, and Wolfgang Bandilla-- 4. Online panels and validity: Representativeness andattrition in the Finnish eOpinion panel 86 Kimmo Gronlund and Kim Strandberg-- 5. The untold story of multi-mode (online and mail) consumerpanels: From optimal recruitment to retention and attrition104 Allan L. McCutcheon, Kumar Rao, and Olena Kaminska-- 6. Nonresponse and attrition in a probability-based onlinepanel for the general population 135 Peter Lugtig, Marcel Das, and Annette Scherpenzeel-- 7 Determinants of the starting rate and the completion ratein online panel studies-- 8. Motives for joining nonprobability online panels and theirassociation with survey participation behavior 171 Florian Keusch, Bernad Batinic, and Wolfgang Mayerhofer-- 9. Informing panel members about study results: Effects oftraditional and innovative forms of feedback on participation192 Annette Scherpenzeel and Vera Toepoel-- 10. Professional respondents in nonprobability online panels D. Sunshine Hillygus, Natalie Jackson, and McKenzieYoung-- 11. The impact of speeding on data quality in nonprobabilityand freshly recruited probability-based online panels Robert Greszki, Marco Meyer, and Harald Schoen-- 12. Improving web survey quality: Potentials and constraintsof propensity score adjustments 273 Stephanie Steinmetz, Annamaria Bianchi, Kea Tijdens, and Silvia Biffignandi-- 13. Estimating the effects of nonresponses in online panelsthrough imputation 299 Weiyu Zhang-- 14. The relationship between nonresponse strategies andmeasurement error: Comparing online panel surveys to traditionalsurveys Neil Malhotra, Joanne M. Miller, and Justin Wedeking-- 15. Nonresponse and measurement error in an online panel: Doesadditional effort to recruit reluctant respondents result in poorerquality data? Caroline Roberts, Nick Allum, and Patrick Sturgis-- 16. An empirical test of the impact of smartphones onpanel-based online data collection Frank Drewes-- 17. Internet and mobile ratings panels Philip M. Napoli, Paul J. Lavrakas, and Mario Callegaro-- 18. Online panel software Tim Macer-- 19 Validating respondents identity in online samples:The impact of efforts to eliminate fraudulent respondents Reg Baker, Chuck Miller, Dinaz Kachhi, Keith Lange, LisaWilding-Brown, and Jacob Tucker-- Index.
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 yet controversial met.
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Includes bibliographical references and index.

1. Online panel research: History, concepts, applications anda look at the future 1 Mario Callegaro, Reg Baker, Jelke Bethlehem, Anja S.Goritz, Jon A. Krosnick, and Paul J. Lavrakas--
2. A critical review of studies investigating the quality ofdata obtained with online panels based on probability andnonprobability samples 23 Mario Callegaro, Ana Villar, David Yeager, and Jon A.Krosnick--
3. Assessing representativeness of a probability-based onlinepanel in Germany 61 Bella Struminskaya, Lars Kaczmirek, Ines Schaurer, and Wolfgang Bandilla--
4. Online panels and validity: Representativeness andattrition in the Finnish eOpinion panel 86 Kimmo Gronlund and Kim Strandberg--
5. The untold story of multi-mode (online and mail) consumerpanels: From optimal recruitment to retention and attrition104 Allan L. McCutcheon, Kumar Rao, and Olena Kaminska--
6. Nonresponse and attrition in a probability-based onlinepanel for the general population 135 Peter Lugtig, Marcel Das, and Annette Scherpenzeel--
7 Determinants of the starting rate and the completion ratein online panel studies--
8. Motives for joining nonprobability online panels and theirassociation with survey participation behavior 171 Florian Keusch, Bernad Batinic, and Wolfgang Mayerhofer--
9. Informing panel members about study results: Effects oftraditional and innovative forms of feedback on participation192 Annette Scherpenzeel and Vera Toepoel--
10. Professional respondents in nonprobability online panels
D. Sunshine Hillygus, Natalie Jackson, and McKenzieYoung--
11. The impact of speeding on data quality in nonprobabilityand freshly recruited probability-based online panels Robert Greszki, Marco Meyer, and Harald Schoen--
12. Improving web survey quality: Potentials and constraintsof propensity score adjustments 273 Stephanie Steinmetz, Annamaria Bianchi, Kea Tijdens, and Silvia Biffignandi--
13. Estimating the effects of nonresponses in online panelsthrough imputation 299 Weiyu Zhang--
14. The relationship between nonresponse strategies andmeasurement error: Comparing online panel surveys to traditionalsurveys
Neil Malhotra, Joanne M. Miller, and Justin Wedeking--
15. Nonresponse and measurement error in an online panel: Doesadditional effort to recruit reluctant respondents result in poorerquality data?
Caroline Roberts, Nick Allum, and Patrick Sturgis--
16. An empirical test of the impact of smartphones onpanel-based online data collection Frank Drewes--
17. Internet and mobile ratings panels
Philip M. Napoli, Paul J. Lavrakas, and Mario Callegaro--
18. Online panel software
Tim Macer--
19 Validating respondents identity in online samples:The impact of efforts to eliminate fraudulent respondents
Reg Baker, Chuck Miller, Dinaz Kachhi, Keith Lange, LisaWilding-Brown, and Jacob Tucker--
Index.

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 met.

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