Web Survey Bibliography
Relevance & Research Question:
Item nonresponse (INR) is a common phenomenon in surveys and particularly income questions are characterized by higher INR rates. INR not only reduces the sample size but might also produce non-ignorable missing data, i.e. when INR differs systematically between non responders and responders with regard to the variables of interest. In this case it is as problematic for sample representativeness as total respondent dropout. As cross-national comparisons of income using micro data have become more attractive in recent years, it is important to assess the extent to which such comparisons are meaningful. This paper examines determinants and mechanisms underlying INR on the income question in different countries.
Methods & Data:
The analysis is based on the WageIndicator survey in 2011 and 2012. The WageIndicator is a unique database for the abovementioned purpose, since it offers a large number of observations in a large number of countries. To study the comparability across countries, first cross-national INR rates are described by differentiating also core socio-demographic characteristics. Second, multi-level analysis is applied to examine determinants of the probability of INR of the wage measures by simultaneously controlling for differences within and between countries.
Results
The study enhances knowledge by offering insights into cross-national INR differences and introducing country-level explanations for differences in INR. As data collection will be completed by end of the year, the paper will present fresh results unavailable so far.
Added Value
So far, research has revealed that INR is related to age and education and that INR on income is concentrated in the lower income tail. A limitation of this research is that most studies have focused on mainly exploring within-country differences. Only with a better understanding of the underlying determinants and mechanisms of INR, tools and techniques can be developed to reduce INR and thereby improving data quality.
GOR Homepage (abstract)
Web survey bibliography - Marketing/business (336)
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Book Review: Brand Together: How Co-creation Generates Innovation and Re-energizes Brands, by Nicholas...; 2013; Wilson, Al.
- Digging deeper: using implicit tests to define consumers' semantic network; 2013; Riviere, P., Cuny, C., Allain, G., Vereijken, C.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and...; 2013; Toufaily, E., Ricard, L., Perrien, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K.-Y., Wu, H.-J., Ting, I.-H.
- The Gamification of Marketing Research; 2013; Donato, P., Link, M. W.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- Möglichkeiten zur impliziten Messung von Emotionen am Beispiel webcambasierter Gesichtsausdruckserkennung...; 2013; Wachenfeld, A., Moentmann, A., Bernet, F.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Tablets and Smartphones and Netbooks, Oh My! Effects of Device Type on Respondent Behavior; 2013; Ross, H., Mendelson, J., Lackey, M.
- Survey quality prediction system 2.0; 2013
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Measuring wages via a volunteer web survey – a cross-national analysis of item nonresponse; 2013; Steinmetz, S., Annmaria, B.
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Questionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research...; 2013; Brace, I.
- The association between online gaming, social phobia, and depression: an internet survey; 2012; Chen, M.-H., Huang, P.-C., Bai, Y.-M., Wei, H.-T.
- Worldwide online research spending; 2012
- Unintentional mobile respondents; 2012; Peterson, G.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Not just playing around; 2012; Ewing, T.
- MRS Guidelines for online reseach; 2012
- Mobile email opens report 2nd half 2011; 2012
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Global market research 2012; 2012
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Qualitatively Speaking: The five absolute, no-excuse must-dos for online qualitative researchers; 2012; Rossow, A.
- By the Numbers: Lessons for using online panels in B2B research; 2012; Elsner, N.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.