Web Survey Bibliography
The aim of the present study was to examine the role of age (respectively cohort) in socially desirable responding (SDR) in online questionnaires. SDR is a potential source of bias in surveys, but there are only very few studies on SDR online. Our study is the first attempt to investigate the age dependency of SDR online - an influence that has been found in offline studies. Our experiment was also designed to investigate how age would interact with the factors anonymity, financial incentives and "product fairness" in its influence on SDR online. To assess SDR, an online version of the Social Desirability Scale-17 (Stöber, 1999, 2001) was employed. 1221 people participated in the survey. From February 2001 to October 2001 the study was linked in the Web Experimental Psychology Lab and on nine other Web sites. The result showed that intensity of SDR increased with age (F (6,755) = 13.042, p < 0.01). This result confirms the previously reported correlation between age and SDR (Stöber, 2001) also for online surveying. SDR-17 online showed a satisfying reliability (Cronbach-Alpha =.71). Implications from the results for online research and online surveying will be discussed. This study builds on a line of research first presented at G.O.R. 01.
Die vorgestellte Untersuchung hatte primär zum Ziel, den Einfluss der sozialen Erwünschtheit in einem Online-Experiment in Abhängigkeit vom Lebensalter beziehungsweise der Kohorte zu untersuchen. Soziale Erwünschtheitstendenzen sind eine mögliche Fehlerquelle für verzerrte Resultate in Befragungen. Es gibt bisher nur wenige Untersuchungen dazu, wie sich soziale Erwünschtheitstendenzen in Online-Untersuchungen auswirken. Die von uns durchgeführte Studie ist unseres Wissens der erste Versuch, die aus der Offline-Forschung bekannte Abhängigkeit dieses Einflusses vom Alter der Befragten online nachzuweisen. Das Untersuchungsdesign war so angelegt, dass auch der Einfluss weiterer Faktoren gemessen werden konnte, die möglicherweise eine Auswirkung auf soziale Erwünschtheitstendenzen haben: Anonymität, Incentives, Produktfairness. Die soziale Erwünschtheit wurde mittels Sozialer Erwünschtheits-Skala-17 (SES-17, Stöber, 1999) gemessen. Es nahmen 1221 Teilnehmer vollständig an der Befragung teil. Diese war vom 1.2.01 bis zum 8.10.01 im Web-Labor für Experimentelle Psychologie und auf neun weiteren Web-Sites verlinkt. Es zeigte sich, dass der Einfluss sozialer Erwünschtheit im Mittel mit dem Alter signifikant steigt (F (6,755) = 13.042, p < 0.01). Dies bestätigt auch den offline erhobenen Zusammenhang von Alter und Sozialer Erwünschtsheitswerte (Stöber, 1999) bei Online-Erhebungen. Mit dieser Untersuchung konnte zusätzlich gezeigt werden, dass der SES-17 auch online ein reliables Messinstrument ist (Cronbach-Alpha: =.71). Konsequenzen dieser Ergebnisse für die Online-Forschung und die Online-Befragungspraxis werden diskutiert. Dieser Beitrag knüpft an Ergebnisse an, die auf der G.O.R. 01 vorgestellt wurden.
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Web survey bibliography (366)
- Grundzüge des Datenschutzrechts und aktuelle Datenschutzprobleme in der Markt- und Sozialforschung; 2017; Schweizer, A.
- Web- and Phone-based Data Collection using Planned Missing Designs; 2017; Revelle, W.; Condon, M. D.; Wilt, J.; French, A. J.; Brown, A.; Elleman, G. L.
- Finding and Investigating Geographical Data Online; 2017; Martin, D.; Cockings, S.; Leung, S.
- CAQDAS at a Crossroads: Affordances of Technology in an Online Environment; 2017; Silver, C.; Bulloch, L. S.
- Artificial Intelligence/Expert Systems and Online Research; 2017; Brent, E.
- Improving the Effectiveness of Online Data Collection by Mixing Survey Modes; 2017; Dillman, D. A.; Hao, F.; Millar, M. M.
- Online Survey Software; 2017; Kaczmirek, L.
- Online Survey Design; 2017; To, N.
- Sampling Methods for Online Surveys; 2017; Fricker, R. D.
- Research Design and Tools for Online Research; 2017; Hewson, C. M.
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention; 2016; Kuhlmann, T.; Reips, U.-D.; Wienert, J.; Lippke, S.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- Exploring the Gig Economy Using a Web-Based Survey: Measuring the Online 'and' Offline Side...; 2016; Robles, B. J.; McGee, M.
- Facebook, Twitter, & Qr codes: An exploratory trial examining the feasibility of social media mechanisms...; 2016; Gu, L. L.; Skierkowski, D.; Florin, P.; Friend, K.; Ye, Y.
- Distractions: The Incidence and Consequences of Interruptions for Survey Respondents ; 2016; Ansolabehere, S.; Schaffner, B. F.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- Representative web-survey!; 2016; Linde, P.
- The Analysis of Respondent’s Behavior toward Edit Messages in a Web Survey; 2016; Park, Y.
- Refining the Web Response Option in the Multiple Mode Collection of the American Community Survey; 2016; Hughes, T.; Tancreto, J.
- The Utility of an Online Convenience Panel for Reaching Rare and Dispersed Populations; 2016; Sell, R.; Goldberg, S.; Conron, K.
- Comparing online and telephone survey results in the context of a skin cancer prevention campaign evaluation...; 2016; Hollier, L.P.; Pettigrew, S.; Slevin, T.; Strickland, M.; Minto, C.
- Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk; 2016; Berinsky, A.; Huber, G. A.; Lenz, G. S.
- Setting Up an Online Panel Representative of the General Population The German Internet Panel; 2016; Blom, A. G.; Gathmann, C.; Krieger, U.
- Sample Representation and Substantive Outcomes Using Web With and Without Incentives Compared to Telephone...; 2016; Lipps, O.; Pekari, N.
- Effects of Data Collection Mode and Response Entry Device on Survey Response Quality; 2016; Ha, L.; Zhang, Che.; Jiang, W.
- Navigation Buttons in Web-Based Surveys: Respondents’ Preferences Revisited in the Laboratory; 2016; Romano Bergstrom, J. C.; Erdman, C.; Lakhe, S.
- Web-based versus Paper-based Survey Data: An Estimation of Road Users’ Value of Travel Time Savings...; 2016; Kato, H.; Sakashita, A.; Tsuchiya, Tak.
- Reminder Effect and Data Usability on Web Questionnaire Survey for University Students; 2016; Oishi, T.; Mori, M.; Takata, E.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Dropouts in Longitudinal Surveys; 2016; Lugtig, P. J.; De Leeuw, E. D.
- Participant recruitment and data collection through Facebook: the role of personality factors; 2016; Rife, S. C.; Cate, K. L.; Kosinski, M.; Stillwell, D.
- What drives the participation in a monthly research web panel? The experience of ELIPSS, a French random...; 2016; Legleye, S; Cornilleau, A.; Razakamanana, N.
- Quantifying Under- and Overreporting in Surveys Through a Dual-Questioning-Technique Design. ; 2016; de Jong , M.; Fox, J.-P.; Steenkamp, J. - B. E. M.
- Take the money and run? Redemption of a gift card incentive in a clinician survey. ; 2016; Chen, J. S.; Sprague, B. L.; Klabunde, C. N.; Tosteson, A. N. A.; Bitton, A.; Onega, T.; MacLean, C....
- Electronic and paper based data collection methods in library and information science research: A comparative...; 2016; Tella, A.
- A Technical Guide to Effective and Accessible web Surveys; 2016; Baatard, G.
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Methods can matter: Where Web surveys produce different results than phone interviews; 2016; Keeter, S.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- Will They Stay or Will They Go? Personality Predictors of Dropout in Online Study; 2016; Nestler, S.; Thielsch, M.; Vasilev, E.; Back, M.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Development of a scale to measure skepticism toward electronic word-of-mouth; 2016; Zhang, Xia.; Ko, M.; Carpenter, D.
- Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research; 2016; Kuru, O.; Pasek, J.
- Psychological research in the internet age: The quality of web-based data; 2016; Ramsey, S. R.; Thompson, K. L.; McKenzie, M.; Rosenbaum, A.
- Internet Abusive Use Questionnaire: Psychometric properties; 2016; Calvo-Frances, F.
- Revisiting “yes/no” versus “check all that apply”: Results from a mixed modes...; 2016; Nicolaas, G.; Campanelli, P.; Hope, S.; Jaeckle, A.; Lynn, P.
- A Statistical Approach to Provide Individualized Privacy for Surveys; 2016; Esponda, F.; Huerta, K.; Guerrero, V. M.
- Online and Social Media Data As an Imperfect Continuous Panel Survey; 2016; Diaz, F.; Garmon, F.; Hofman, J. K.; Kiciman, E.; Rothschild, D.