Web Survey Bibliography
Title Achieving Balance: Understanding the Relationship between Complexity and Response Quality
Author Kirchner, A., Powell, R.
Year 2014
Access date 28.08.2014
Abstract
To avoid confusion with survey questions, researchers aim to create easy questions by constraining question characteristics—e.g. the Flesch-Kincaid Reading Level—in such a way to ensure that the majority of respondents will understand the question (Dillman, et. al., 2009). However, even controlling for specific characteristics, questions can still be complex. For example, two questions can receive the same reading level, but one question might be a harder task for the respondent if it asks for a behavioral frequency while the other could ask for the respondent’s sex. With many surveys moving toward self-administered modes, issues of question complexity become more important since the respondent needs to comprehend all questions without the aid of an interviewer. Researchers have examined how question characteristics in self-administered surveys affect specific response quality aspects such as response times (Yan and Tourangeau, 2008). However, more research is needed to understand the extent of the relationship between complexity and response quality. This study uses the internet component of the Gallup Panel to model the relationship between question complexity and response quality. The complexity measure incorporates page level statistics, such as the number of questions, the reading level, and the type of questions. This index is then used in a cross-classified model to understand the relationship between complexity and different aspects of response quality. Since this study uses data from the Gallup Panel web survey, response quality is measured both in terms of substantive answers (e.g., nondifferentiation, “don’t know” responses) and paradata (response latency, number of answer changes). Preliminary results using one wave from the internet component of the Gallup Panel show that more complex pages lead respondents to have more answer changes per page (correlation of 0.14) and have more don’t know answers per page (correlation of 0.11).
Access/Direct link
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - 2014 (234)
- Mixed-Mode Designs bei Erhebungen mit sensitiven Fragen: Einfluss auf das Teilnahme- und Antwortverhalten...; 2014; Krug, G., Kriwy, P., Carstensen, J.
- Meta-analysis of randomized controlled trials supports the use of incentives for inducing response to...; 2014; David, M. C., Ware, R. S.
- Quality of physical therapy from a patient's perspective; factor analysis on web-based survey data...; 2014; Scholte, M., Calsbeek, H., Nijhuis-van der Sanden, M. W. G., Braspenning, J.
- Evaluating a Web-based health risk assessment with tailored feedback: What does an expert focus group...; 2014; Vosbergen, S., Mahieu, G. R. Laan, E. K., Kraaijenhagen, R. A., Jaspers, M. W. M., Peek, N.
- Drivers' road accident risk perception. A comparison between face-to-face interview and web-based...; 2014; Cardamone, A. S., Eboli, L., Mazzulla, G.
- Measuring Political Participation—Testing Social Desirability Bias in a Web-Survey Experiment; 2014; Persson, M., Solevid, M.
- Prioritisation of alternatives with analytical hierarchy process plus response latency and web survey...; 2014; Barone, S. Errore, A., Lombardo, A.
- Accuracy of Within-household Selection in Web and Mail Surveys of the General Population.; 2014; Olson, K., Smyth, J. D.
- Discriminating the Effects of Cannabis sativa and Cannabis indica: A Web Survey of Medical Cannabis...; 2014; Pearce, D. D., Mitsouras, K., Irizarry, K. J.
- Measurement effects between CAPI and Web questionnaires in the UK Household Longitudinal Study; 2014; Lynn, P., Vannieuwenhuyze, J. T. A.
- Role of mode in respondents’ decisions to participate in IP5: findings from a qualitative follow...; 2014; Collins, D., Mitchell, Ma.
- Understanding Society Innovation Panel Wave 6: results from methodological experiments; 2014; Allum, N., Auspurg, K., Blake, M., Booker, C. L., Crossley, T. F., D'ardenne, J., Fairbrother, M., Iacovou...
- Considerations for Conducting Web-Based Survey Research With People Living With Human Immunodeficiency...; 2014; O'Brien, K. K., Solomon, P., Worthington, C., Ibánieez-Carrasco, F., Baxter, L., Nixon, S. A., Baltzer...
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- WEBDATANET: Innovation and Quality in Web-Based Data Collection ; 2014; Steinmetz, S., Slavec, A., Tijdens, K. G., Reips, U.-D., de Pedraza, P., Popescu, A., Belchior, A., ...,...
- Mining “Big Data” using Big Data Services ; 2014; Reips, U.-D., Matzat, U.
- Instant Interactive Feedback in Grid Questions: Reminding Web Survey; 2014; Kunz, T., Fuchs, M.
- What Does the Satisfaction with Democracy Measure Mean to Respondents in Different Countries? How Cross...; 2014; Behr, D., Braun, M.
- WebSM Study: Overview of Features and Pricing of Software Packages in 2014; 2014; Vehovar, V., Cehovin, G.
- Using Eye Tracking to Evaluate Email Notifications of Surveys and Online Surveys Collecting Address...; 2014; Olmsted, E. L., Nichols, E. M.
- Respondent Processing of Multiple Images throughout a Web Survey; 2014; Charoenruk, N., Stange, M.
- Using Eye Tracking to Examine the Visual Design of Web Surveys; 2014; Zhou, Q., Ricci, K., Olson, K., Smyth, J. D.
- Achieving Balance: Understanding the Relationship between Complexity and Response Quality; 2014; Kirchner, A., Powell, R.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
- Evaluating the Efficacy of Mixed-Mode Intercept Surveys for Complex Questionnaires; 2014; Puniello, O. T.
- Experiments with Email Formatting; 2014; Lawrence, S., Phillips, B. T.
- Sequential or Simultaneous Multi-Mode? Results from Two Large Surveys of Electric Utility Consumers; 2014; Jackson, C., Ledoux, C.
- Correlates of Attrition in the German Internet Panel: Drop-Outs and Sleepers; 2014; Blom, A. G., Beissel-Durrant, G.
- Survey Breakoff in Online Panels; 2014; McCutcheon, A. L.
- 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.