Web Survey Bibliography
One of the questions when discussing the usefulness of Web surveys is whether they gain the same response rates compared to other survey modes. Anecdotal literature reviews suggest that in general, the Web survey response rates are considerably lower. However, such unsystematically synthesized evidence might be highly misleading. As an alternative, systematic meta-analytic procedures synthesizing controlled experimental mode comparisons could provide accurate answers, but to the best of our knowledge, these studies have not been conducted so far.
To overcome this gap, we conducted a meta-analysis of 36 published experimental comparisons between Web and other survey modes. Due to the fact that response rates proportion differences tend to overestimate the heterogeneity of effects, we took the natural log of the odds-ratio as our effect size measure. To estimate the study population effect under a random effects model assumption, we firstly computed the mean effect size weighted for the inverse effect size variance as suggested by Lipsey and Wilson (2001). Subsequently, a homogeneity analysis and a meta-regression were performed. To predict the response rate variance on the effect size measure, the following study descriptors were included as independent variables: type of alternative mode (e.g., eMail, CATI, mail, fax, IVR), year of study, type of the target population (e.g., students, general population, ...), sponsorship (academic, government, commercial), and the implementation procedures (incentives, No of contacts, contact mode).
While the weighted mean effect size indicated a slight advantage for other than Web modes, the 95% confidence interval around this mean effect size estimate included zero. Thus, this results suggests that there is no systematic response rate differences between Web surveys and other modes. A homogeneity test revealed that the 36 effect sizes are homogeneous, indicating that the study descriptors are not systematically related to the effect size variability. This result was further supported by a meta-regression with the study descriptors included as independent variables, none of them exerting a significant predictive effect on the effect size variability.
Taken together, our meta-analysis highlights that the common assumption of lower response rates for Web surveys compared to other modes does not hold true if scrutinized with the aid of meta-analytic research synthesis procedures, taking into account experimentally controlled primary studies. From a practical point of view, these results might contribute to improve the reputation of Web surveys as one survey mode of comparable data quality with respect to response rates.
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.