Web Survey Bibliography
Purpose of the study: Respondent multitasking refers to any secondary activity performed by respondents between the time they start responding to a survey and the time they finish. We introduce, compare and evaluate different indicators of respondent multitasking in web surveys, based either on self-reports or paradata.
Design/methodology/approach: We use paradata from an assessment survey among incoming (international) and outgoing (Slovenian) students in student exchange programmes to measure respondent multitasking. Web questionnaire also prompted respondents to report if they have engaged in any secondary activities while responding. We use statistical tests to compare these two data sources on respondent multitasking, as well as their relationship with item non-response and straight-lining.
Findings: Paradata indicators show statistically higher frequencies of interruptions than self-report indicators (p < 0.05). Based on paradata indicators, incoming/international students (who responded to a questionnaire in English language) multitasked more than outgoing/Slovenian students (questionnaire in Slovene language), while no such statistically significant differences were found with self-report indicators. Similarly, higher paradata indicators are also positively correlated with item non-response rates, while there are no such significant associations for self-reports. Weak associations are found for straight-lining indicators. Results also show importance of selecting and omitting particular parts of questionnaire (e.g. introduction page) and respondents (e.g. drop-outs) in the analysis.
Originality/value: Studies on telephone surveys suggest that respondent multitasking can be relatively prevalent in surveys and associated with data quality. However, there is little-to-no published research about respondent multitasking in web surveys. Besides this novelty, we also introduce a new way of utilizing paradata. Moreover, contrasting self-reports with paradata is a valuable addition to scarce research that compares and combines self-reports with electronic tracking data in time use and media use studies.
Research limitations/implications: Limitation: survey population is very specific. Implications: in context of web surveys, we confirm findings from research on multitasking in other settings: respondents might under-estimate their multitasking behavior; respondent multitasking is associated with data quality.
Practical implications: Paradata could potentially be used for development of valid and reliable measures of respondent multitasking. In conclusion we offer several practical advices, considerations and limitations of employing such approach.
Web survey bibliography - Vehovar, V. (46)
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Introduction Breakoffs, Questionnaire Breakoffs and Web Questionnaire Length: A Metastudy ; 2016; Cehovin, G.; Vehovar, V.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- Identifying and correcting question-wording problems: the case of Wageindicator; 2015; Slavec, A., Vehovar, V., Tijdens, K. G.
- e-Social Science Perspective on Survey Process: Towards an Integrated Web Questionnaire Development...; 2015; Vehovar, V., Petrovcic, A., Slavec, A.
- Questionnaire length and breakoffs in web surveys: a meta study; 2014; Vehovar, V., Cehovin, G.
- WebSM Study: Overview of Features and Pricing of Software Packages in 2014; 2014; Vehovar, V., Cehovin, G.
- WebSM Study: Survey Software in 2014; 2014; Vehovar, V., Cehovin, G., Mocnik, A.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V., Cehovin, G., Kavcic, L., Lenar, J.
- Costs and Errors in Fixed and Mobile Phone Surveys; 2012; Vehovar, V., Slavec, A., Berzelak, N.
- Web Survey Software; 2012; Berzelak, N., Vehovar, V., Slavec, A.
- Surveying general population: What types of experiments are further needed?; 2012; Vehovar, V., Berzelak, N.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.
- Web survey software; 2011; Slavec, A., Berzelak, N., Vehovar, V.
- Web Survey Process within the Concept of eSocial Sciences; 2011; Vehovar, V.
- Optimization of dual frame telephone survey designs; 2011; Slavec, A., Vehovar, V.
- Comments on the paper - Geetha Garib: Perceived diversity among employees; 2011; Vehovar, V.
- Nonresponse in Web Surveys ; 2011; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- Cost-Error Optimization Model for Mixed-Mode Surveys; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K.
- Preference for Mobile Interview Surveys? Interplay of costs, errors and biases; 2009; Vehovar, V., Slavec, A.
- National readership surveys: Moving from probability face-to-face surveys to Internet panels; 2009; Vehovar, V., Slavec, A., Petric, I., Sargac, M.
- Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly?; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Horvat, T., Debevc, M.
- Optimising survey costs in mixed mode environment; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Belak, E.
- Nonresponse Bias in Surveys; 2009; Bethlehem, J., Vehovar, V., Stoop, I., Schouten, B., Shlomo, N., Skinner, C., Montaquila, J.
- "Mobile phone surveys in mixed mode environment: Balancing costs and errors"; 2009; Vehovar, V.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Probabilistic methods in surveys and offical statistics; 2008; Vehovar, V., Zaletel, M., Seljak, R.
- Internet surveys; 2008; Lozar Manfreda, K., Vehovar, V.
- What Can We Achieve With 5 Euros? Optimization of Survey Data Quality Using Mixed-Mode Approaches; 2008; Berzelak, N., Vehovar, V., Lozar Manfreda, K.
- Measuring ties on online forums; 2008; Ziberna, A., Vehovar, V., Jakulin, A.
- Nonresponse in web surveys within the context of survey errors and survey costs; 2008; Berzelak, N., Lozar Manfreda, K., Vehovar, V.
- Integration of the web into survey data collection: Balancing costs and errors; 2008; Vehovar, V., Berzelak, N., Lozar Manfreda, K.
- Optimization of costs and errors in mixed-mode surveys; 2008; Vehovar, V., Berzelak, N., Lozar Manfreda, K.
- Overview: Online Surveys; 2008; Vehovar, V., Lozar Manfreda, K.
- Measuring ego-centered social networks on the web: Questionnaire design issues ; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G., Hlebec, V.
- The Impact of Cognitive and Computer Skills on Data Quality in Computer Assisted Self Administered Questionnaires...; 2008; Brecko, B. N., Vehovar, V.
- Internet surveys; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- Collecting Data on Ego-Centered Social Networks on the Web: Methodological Issues; 2004; Lozar Manfreda, K., Vehovar, V., Hlebec, V.
- Mode Effect in Web Surveys; 2002; Vehovar, V., Lozar Manfreda, K.
- Nonresponse in Web Surveys; 2002; Vehovar, V., Lozar Manfreda, K., , Batagelj, Z.
- Virtual Selves and Web Surveys; 2001; Lozar Manfreda, K., Couper, M. P., Vohar, M., Rivas, S., Vehovar, V.
- Nonresponse in Web Surveys; 1999; Vehovar, V.
- Internet v Sloveniji - Projekt RIS 1996-1998.; 1998; Vehovar, V.
- Handling "Don't Know" Survey Responses: The Case of the Slovenian Plebiscite; 1995; Rubin, D. B.; Vehovar, V.; Hal, S. S.