Web Survey Bibliography
Relevance&Research Question: The increasing popularity of web-surveys has triggered a heated debate about their quality for scientific use. Web-surveys offer advantages such as worldwide coverage, cost benefits and fast data collection, but are mostly not representative. Findings for developed countries consistently show that young highly educated men are overrepresented in web-surveys. While the topic of representativeness has been extensively discussed for developed countries, the question remains whether similar biases can be found for developing countries. This paper aims to explore to what extent web and face-to-face surveys produce reliable data regarding socio-demographic characteristics for eight developing countries (China, Ghana, Indonesia, Kenya, Mozambique, Senegal, Uganda).
Methods&Data: We pooled data of the self-administered WageIndicator web-survey and the representative WageIndicator face-to-face surveys on work and wages (8 countries, 2010-2012, N = 16,026 web-sample; N = 18,392 face-to-face sample). Using logit analysis, the chance of inclusion in the web-sample is explored, testing three hypotheses. Comparing the web and face-to-face samples with population characteristics, we assume that both modes are confronted with the same hard-to-reach groups (H1). We assume that young, high educated, male, single and high income individuals are overrepresented in the web-sample (H2). We assume that these effects will be smaller in countries with a higher internet penetration rate (H3).
Results: Whereas no support is found for hard-to-reach groups (H1), the analysis shows evidence for good-to-reach groups: men and women aged 20-35 are highly overrepresented in both modes. Concerning H2 across all countries we find support that individuals aged 20-24, male, single, high educated and with a high income are more likely to be included in the web-survey. H3 is not supported. In contrast, we find smaller effects of socio-demographic characteristics (except gender) on web-survey participation for low access countries.
Added Value: Considering the problems related to surveying in developing countries web-surveys might be a promising cost- and time-efficient data collection tool to access data of populations so far under researched. This study contributes to the understanding of the nature of bias in volunteer web-surveys. Though Internet access is still low in developing countries, their fast increase makes a growth in web-surveys likely.
Web survey bibliography (4086)
- Measuring Nonresponse Bias in Web Surveys: The Role of Health Status; 2014; Zhang, M.
- Providing a Deadline for Response: Results from Two Recent Experiments; 2014; Kaiser, A., Walston, J. T., Medway, R., Ye, C., Tourangeau, R.
- Respondents Playing Fast and Loose?: Antecedents and Consequences of Respondent Speed of Completion; 2014; Thomas, R. K., Barlas, F. M.
- Does Self-Selection Affect Samples' Representativeness in Online Surveys? An Investigation in Online...; 2014; Khazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J.,...
- Awareness and Treatment of Alcohol Dependence in Japan: Results from Internet-Based Surveys in Persons...; 2014; Taguchi, Y., Takei, Y., Sasai, R., Murteira, S.
- Internet-based survey on current practice for evaluation, prevention, and treatment of scars, hypertrophic...; 2014; Lumenta, D. B., Siepmann, E., Kamolz, L. P.
- Awareness and correlates of the role of physical activity in breast cancer prevention among Japanese...; 2014; Miyawaki, R., Shibata, A., Ishii, K., Oka, K.
- Barriers and facilitators for participation in a preventive pelvic floor muscle training program from...; 2014; Albers-Heitner, P., Moossdorff-Steinhauser, H., Weemhoff, M., Nieman, F., Berghmans, B.
- Leading Edge Insights: Foundations of Quality 2.0; 2014; Fuguitt, G.
- Current Practices in Management of Hepatocellular Carcinoma in India: Results of an Online Survey; 2014; Kumar, A.
- Inside the Turk Understanding Mechanical Turk as a Participant Pool; 2014; Paolacci, G., Chandler, J.
- Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related...; 2014; Petrovcic, A., Petric, G.
- Test-retest reliability of the International Study of Asthma and Allergies in Childhood questionnaire...; 2014; Yoshida, K., Adachi, Y., Sasaki, M., et al.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Process Planning for CNC Machining of Swedish Subcontractors – A Web Survey; 2014; Anderberg, S., Beno, T., Pejryd, L.
- Perceptions on developing clinical practice guidelines for traditional medicine in Korea: Results of...; 2014; Choi, J., Choi, T.-Y., A.; A., Yun, K.-J., A., Lim, H.-J., Lee, J. A., Lee, M. S.
- Recognition of and interventions for Mibyeong (subhealth) in South Korea: a national web-based survey...; 2014; Lee, J., Lee, Y., Dong, S. O., Kim, S.-H., Lee, S.
- Recruiting an Internet Panel Using Respondent-Driven Sampling; 2014; Schonlau, M., Weidmer, B., Kapteyn, A.
- Systematic Review of the Use of Online Questionnaires of Older Adults; 2014; Remillard, M. L., Mazor, K. M., Cutrona, S. L., Gurwitz, J. H., Tjia, J.
- Validating respondents' identity in online samples; 2014; Baker, R., Miller, C., Kachhi-Jiwani, D., Lange, K., Wilding-Brown, L., Tucker, J.
- The relationship between nonresponse strategies and measurement error; 2014; Malhotra, N., Miller, J. M., Wedeking, J.
- Nonresponse and measurement error in an online panel; 2014; Roberts, C., Allum, N., Sturgis, P.
- Estimating the effects of nonresponses in online panels through imputation; 2014; Zhang, W.
- An empirical test of the impact of smartphones on panel-based online data collection; 2014; Drewes, F.
- Professional respondents in nonprobability online panels; 2014; Hillygus, D. S., Jackson, N. M., Young, M.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Determinants of the starting rate and the completion rate in online panel studies; 2014; Goeritz, A.
- The untold story of multi-mode (online and mail) consumer panels; 2014; McCutcheon, A. L., Rao, K., Kaminska, O.
- Online panels and validity; 2014; Groenlund, K., Strandberg, K.
- Assessing representativeness of a probability-based online panel in Germany; 2014; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Motives for joining nonprobability online panels and their association with survey participation behavior...; 2014; Keusch, F., Batinic, B., Mayerhofer, W.
- Improving web survey quality; 2014; Steinmetz, S., Bianchi, S. M., Tijdens, K. G., Biffignandi, S.
- WebSM Study: Survey Software in 2014; 2014; Vehovar, V., Cehovin, G., Mocnik, A.
- Design and Implementation of an Online Questionnaire Tool; 2014; Schaniel, R.
- The Influence of the Answer Box Size on Item Nonresponse to Open-Ended Questions in a Web Survey; 2014; Zuell, C., Menold, N., Koerber, S.
- What are the Links in a Web Survey Among Response Time, Quality, and Auto-Evaluation of the Efforts...; 2014; Revilla, M., Ochoa, C.
- Does Age Matter? The Influence of Age on Response Rates in a Mixed-Mode Survey; 2014; Gigliotti, L. M., Dietsch, A.
- Does the Choice of Header Images influence Responses? Findings from a Web Survey on Students’...; 2014; Barth, A.
- Methods and systems for managing an online opinion survey service; 2014; Mcloughlin, M. H., Seton, N., Blesy, K.
- Comparison of the quality estimates in a mixed-mode and a unimode design: an experiment from the European...; 2014; Revilla, M.
- Forget gamification; try writing a humanized survey; 2014; Pettit, A.
- Using respondent tweets to fill in survey gaps; 2014; Murphy, J.
- Using Paradata to Predict and to Correct for Panel Attrition in a Web-based Panel Survey; 2014; Rossmann, J., Gummer, T.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Offline Households in the German Internet Panel; 2014; Bossert, D., Holthausen, A., Krieger, U.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.