Web Survey Bibliography
Relevance & Research Question: This presentation examines how including offline households (households without access to the internet) in a probability-based online panel counters the problem of undercoverage which online surveys are prone to. Taking into account coverage error is a central issue when conducting a survey which aims to be representative for the general population.
Methods & Data: We use data from the recruitment and first 8 waves of the German Internet Panel (GIP), a longitudinal internet survey run by the University of Mannheim. The GIP is based on a probability sample of individuals living in private households. The recruitment was done offline by short face-to-face interviews in 2012. All offline households were offered a simple PC and a 3G internet connection.
In a first step we use data from the recruitment interview to visualize the differences between respondents with and without internet. In a second step we compare online panel registration rates between those two groups. To evaluate the impact of the participation of offline households on sample representativeness we compare the panel composition with and without offline households to the German entire population. We use German Census data as benchmark for this comparison. Using longitudinal data of the GIP we analyze differences in participation and attrition rates between online and offline households over time.
Results: Analyses show that offline and online households differ in several aspects from each other. People without internet are older, more often female, more often low and medium educated and life more often in single households. These results illustrate the coverage error which is usually connected to online surveys. Sign up rates to the panel are considerably lower for offline households (15%) compared to online households (50%). However, we can show that adding these people to the panel improves sample representativeness with respect to the variables (age and gender) we compared.
Added Value: Researchers and practitioners will learn about the benefits and quirks of our approach to counter noncoverage of non-internet households in an online survey.
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.