Web Survey Bibliography
Purpose of the study: We first separately define introduction breakoff and questionnaire breakoff. This is then different from the prevailing reporting of all breakoffs together. Next, we present a case study of 5,752 surveys and analyze questionnaire length and its impact on both types of breakoffs. Design/methodology/approach: In an aggregated file of 5,752 surveys with around 1,250,000 questionnaire responses we recorded the following paradata for each survey: share of respondent statuses (i.e. complete, partial, breakoff, empty, etc.), number of pages, number of variables and questions, and eventual usage of email invitations. We then explored breakoff rates (introduction and questionnaire breakoffs at survey level) with linear regression, where predictor variables were above-mentioned paradata. Findings: The mean total breakoff rate is 40%, where the introduction breakoff highly dominates among all breakoffs (75%). The analysis shows significant correlation between questionnaire breakoffs and questionnaire length, while there is almost no correlation between questionnaire length and introduction breakoffs. Linear regression shows that on average we can expect questionnaire breakoff rate to increase by 0.06 percentage points for each additional variable included in the questionnaire and by 0.14 percentage points for each additional page. With our model we explain 10% of the variability. Originality/value: Studies usually confirm that lengthy questionnaires contribute to lower data quality. However, the relation between questionnaire breakoff rate and survey length often remains unclear, which is exactly the added value of our research. By separating introduction and questionnaire breakoffs, we then in the empirical study demonstrated that questionnaire length only impacts questionnaire breakoffs. Research limitations/implications: Limitation: 5,752 surveys were from mostly related to DIY research in Slovenia. Implication: we further extend AAPOR final disposition code 2.12 “Break-off or partial with insufficient information”. Practical implications: Measures for introduction and questionnaire breakoffs need to be defined separately, as well as their prevention. Reporting only total breakoff rate has little practical value.
Web survey bibliography - Slovenia (48)
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Introduction Breakoffs, Questionnaire Breakoffs and Web Questionnaire Length: A Metastudy ; 2016; Cehovin, G.; Vehovar, V.
- Web Surveys Versus Other Survey Modes: An Updated Meta-analysis Comparing Response Rates ; 2016; Wengrzik, J.; Bosnjak, M.; Lozar Manfreda, K.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- The effect of email invitation elements on response rate in a web survey within an online community; 2016; Petrovcic, A.; Petric, G.; Lozar Manfreda, K.
- 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.
- Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related...; 2014; Petrovcic, A., Petric, G.
- About the Institute of Public Health - Data aspect; 2013; Zaletel, M.
- The effect of email invitation characteristics and response reluctance on non-response in web forum...; 2013; Petrovcic, A., Lozar Manfreda, K., Petric, G.
- Different approaches to measure ego-centered social support networks: a meta-analysis; 2013; Hlebec, V., Kogovsek, T.
- Exploring patterns of academic usage: A Google Scholar based study of ESS, EVS, WVS and ISSP academic...; 2013; Malnar, B.
- 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.
- Impact of Fixed Choice Design on Blockmodeling Outcomes; 2012; Znidarsic, A.
- 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.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.
- Adaptation of Cognitive Interviews for Web; 2012; Mohorko, A., Hlebec, V.
- Current Projects at University of Ljubljana; 2011; Lozar Manfreda, K.
- Web survey software; 2011; Slavec, A., Berzelak, N., Vehovar, V.
- Web Survey Process within the Concept of eSocial Sciences; 2011; Vehovar, V.
- The Impact of Non-Response Treatments on the Stability of Blockmodels; 2011; Znidarsic, A., Ferligoj, A., Doreian, P.
- The influence of Social Support and Personal Networks on Doctoral Student Performance; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- From Busy Bees to Science Geeks and Party Animals: A Typology of Slovenian Doctoral Students; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred...; 2011; Coenders, G., Coromina, L., Ferligoj, A., Guia, J.
- Optimization of dual frame telephone survey designs; 2011; Slavec, A., Vehovar, V.
- Nonresponse in Web Surveys ; 2011; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- Archiving and Re-using Qualitative and Qualitative Longitudinal Data in Slovenia; 2010; Stebe, J., Hudales, J., Kragelj, B.
- National readership surveys: Moving from probability face-to-face surveys to Internet panels; 2009; Vehovar, V., Slavec, A., Petric, I., Sargac, M.
- Relations between functionality and usability of Web survey software tools: An empirical evaluation; 2009; Berzelak, N., Lozar Manfreda, K.
- Optimising survey costs in mixed mode environment; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Belak, E.
- Effectiveness of incentives in web surveys within mixed-mode systems: An evaluation of errors & costs...; 2009; Lozar Manfreda, K.
- "Mobile phone surveys in mixed mode environment: Balancing costs and errors"; 2009; Vehovar, V.
- Mobile phone surveys in mixed mode environment; 2009; 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.
- Integration of the web into survey data collection: Balancing costs and errors; 2008; Vehovar, V., Berzelak, N., Lozar Manfreda, K.
- Measuring ego-centered social networks on the web: Questionnaire design issues ; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G., Hlebec, V.
- Collecting Data on Ego-Centered Social Networks on the Web: Methodological Issues; 2004; Lozar Manfreda, K., Vehovar, V., Hlebec, V.
- Nonresponse in Web Surveys; 2002; Vehovar, V., Lozar Manfreda, K., , Batagelj, Z.
- Web survey errors; 2001; Lozar Manfreda, K.
- Virtual Selves and Web Surveys; 2001; Lozar Manfreda, K., Couper, M. P., Vohar, M., Rivas, S., Vehovar, V.
- Internet v Sloveniji - Projekt RIS 1996-1998.; 1998; Vehovar, V.