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06322nam a2200817 4500 |
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ocn867852780 |
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OCoLC |
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20170124071147.9 |
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140108s2014 enk ob 001 0 eng |
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|a 2014000677
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|a DLC
|b eng
|e rda
|c DLC
|d YDX
|d N$T
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|a 961645175
|a 962624078
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|a 9781118763513 (ePub)
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|a 1118763513 (ePub)
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|a 9781118763506 (Adobe PDF)
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|a 1118763505 (Adobe PDF)
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|z 9781119941774 (pbk.)
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|z (OCoLC)961645175
|z (OCoLC)962624078
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|a pcc
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|a H61.26
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|a 001.4/33
|2 23
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|a MAIN
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|a Online panel research :
|b a data quality perspective /
|c edited by Mario Callegaro, Reg Baker, Jelke Bethlehem, Anja Goritz, Jon A. Krosnick, Paul J. Lavrakas.
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| 264 |
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|a Chichester, West Sussex :
|b Wiley,
|c 2014.
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|2 rdacontent
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| 337 |
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|a computer
|2 rdamedia
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| 338 |
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|a online resource
|2 rdacarrier
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| 490 |
1 |
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|a Wiley series in survey methodology.
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| 504 |
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|a Includes bibliographical references and index.
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| 588 |
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|a Description based on print version record and CIP data provided by publisher; resource not viewed.
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|a 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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|a 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
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|a 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
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|a 2.9 Completion rates and accuracy2.10 Multiple panel membership; 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; I.1 Coverage bias in online panels; I.2 The chapters in Part I; References; 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; 3.3 Assessing recruitment of the Online Panel Pilot
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|a 3.4 Assessing data quality: Comparison with external data3.5 Results; 3.6 Discussion and conclusion; References; Appendix 3.A; Chapter 4: Online panels and validity: Representativeness and attrition in the Finnish eOpinion panel; 4.1 Introduction; 4.2 Online panels: Overview of methodological considerations; 4.3 Design and research questions; 4.4 Data and methods; 4.5 Findings; 4.6 Conclusion; References; Chapter 5: The untold story of multi-mode (online and mail) consumer panels1: From optimal recruitment to retention and attrition; 5.1 Introduction; 5.2 Literature review; 5.3 Methods
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|a 5.4 Results5.5 Discussion and conclusion; References; Part II: Nonresponse; Introduction to Part II; II.1 The nonresponse problem; II.2 The nonresponse bias; II.3 Exploring nonresponse; II.4 The chapters in Part II; References; Chapter 6: Nonresponse and attrition in a probability-based online panel for the general population; 6.1 Introduction; 6.2 Attrition in online panels versus offline panels; 6.3 The LISS panel; 6.4 Attrition modeling and results; 6.5 Comparison of attrition and nonresponse bias; 6.6 Discussion and conclusion; References
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| 650 |
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|a Panel analysis.
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| 650 |
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0 |
|a Internet research.
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| 650 |
|
0 |
|a Marketing research
|x Methodology.
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| 650 |
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0 |
|a Social sciences
|x Methodology.
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| 650 |
|
7 |
|a REFERENCE
|x Questions & Answers.
|2 bisacsh
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| 650 |
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7 |
|a Internet research.
|2 fast
|0 (OCoLC)fst00977287
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| 650 |
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7 |
|a Marketing research
|x Methodology.
|2 fast
|0 (OCoLC)fst01010296
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| 650 |
|
7 |
|a Panel analysis.
|2 fast
|0 (OCoLC)fst01052033
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| 650 |
|
7 |
|a Social sciences
|x Methodology.
|2 fast
|0 (OCoLC)fst01122933
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| 655 |
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4 |
|a Electronic books.
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| 655 |
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0 |
|a Electronic books.
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| 700 |
1 |
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|a Callegaro, Mario,
|e editor of compilation.
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| 776 |
0 |
8 |
|i Print version:
|t Online panel research
|d Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons Inc., 2014
|z 9781119941774
|w (DLC) 2013048411
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| 830 |
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0 |
|a Wiley series in survey methodology.
|
| 856 |
4 |
0 |
|u https://doi.org/10.1002/9781118763520
|z Full Text via HEAL-Link
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| 994 |
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|a 92
|b DG1
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