Web Survey Bibliography
Relevance & Research Question: Matrix questions are and have always been a big problem in online fieldwork. On the one hand many statistical procedures suggest the use of matrix questions, whilst on the other hand quite a lot of data quality issues are related to matrix questions, - mainly due to satisficing behavior of respondents. One explanation for such a behavior is the high cognitive burden for the respondent when being confronted with the compact presentation of many options and a lot of text on little space. Steps towards a better data quality thus have to find smarter and more intuitive solutions for collecting the needed data. This contribution compares different alternatives for grid questions and shows how to use them in the right context.
Methods & Data: We conducted a study with five splits in total, each of them with a different alternative for the matrix question. Each split contained the respective alternative twice, one time in the context of brand likeability and one time in the context of general attitudes. These concepts have been compared by different metrics in regard to data quality (e.g. variance, time needed on question, consistency with answers in following questions), comparability of the results among these alternatives and the satisfaction of the respondents with usability of each question type. These differences are controlled by sociodemographic factors.
Results: Our results draw a differentiated picture for each of these question types. It seems that there is no universal solution that applies to all contexts. Nonetheless a bunch of recommendations can be drawn for the appropriate design of a questionnaire and the best practice for each of the presented question types.
Added Value: Especially with the growing importance of mobile research in the market research industry, an appropriate questionnaire design gains more and more importance. Smaller screens and new input devices (such as touchscreens) call for alternatives to conventional solutions during fieldwork. We show that researchers most often can count with more satisfied respondents and a better data quality when avoiding the standard matrix question type. Nonetheless they don’t have to do without valuable data.
GOR Homepage (abstract) / (presentation)
Web Survey Bibliography - Conferences, workshops, tutorials, presentations (3066)
- The challenge of a mixed-mode design survey and new IT tools application: the case of the Italian Structure...; 2013; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- The Design of the Online Questionnaire of the Italian Population Census ; 2013; Tininini, L., Virgillito, A.
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- The behaviour of respondents while filling in a web questionnaire: the case of the Italian business...; 2013; Masselli, M., Nuccitelli, A.
- A web-based Census of services: an ISTAT evolutionary study ; 2013; Cesaro, A., Palazzi, B., Paterniti, M., Ranaldi, P.
- A web based management system for addressing census complexity: the Italian experience; 2013; Bruno, M., Giacummo, M., Silipo, M., Vaste, G.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- Factors affecting the decision to participate in the internet option for the 2010 Census of Korea ; 2013; Lee, E., Kim, S.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- Web panel surveys – can they be designed and used in a scientifically sound way?; 2013; Svensson , J.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Web Panels for Official Statistics? ; 2013; Bethlehem, J., Cobben, F.
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- How Does Online Survey Mode Affect Answers to Customer Feedback Loyalty Surveys?; 2013; Gupta, A., Lee, J.
- Using Internet Panel Surveys for Behavioral Health Surveillance; 2013; Gotway Crawford, C., Okoro, C. A., Dhingra, S., Akcin, H., Zhao, G., Ford, D., Pierannunzi, C.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Web Coverage in the UK and its Potential Impact on General Population Web Surveys; 2013; Callegaro, M.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Gamification Master Class; 2013; Puleston, J.
- Research Communities in Asia Pacific: A review of similarities and contrasts; 2013; Poynter, R.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Why Big Data is a Small Idea…and Why You Shouldn’t Worry So Much; 2013; Needel, S.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- Evaluating the left‐right dimension: Category Selection Probing conducted in an online access...; 2013; Huefken , V.
- From Face‐to‐face to Web: Consequences for Measurement of Complex and Open‐ended Questions...; 2013; Villar, A., Fitzgerald, R., Martin, P., Harrison, E., Gatrrell, L.
- Computers, Tablet & Smart Phones: The Truth about Web‐based Surveys; 2013; Merle, P., Gearhart, S., Craig, C., Rahimi, M., Brooks, M. E., Vandyke, M.
- Explaining Interview Duration in Web Surveys on Political Attitudes and Behavior: A Multilevel Approach...; 2013; Gummer, T., Rossmann, J.
- An Examination of the Relationship Between Pretest Method Results and Data Quality; 2013; Maitland, A.
- Associations Between Interactional Indicators of Problematic Questions and Systems for Coding Question...; 2013; Dykema, J., Schaeffer, N. C., Garbarski, D.
- The Technology Behind Mobile Research: Browsers vs. Apps ; 2013; Macer, T.
- Methodological, legal and technical perspectives on the feasibility of web survey paradata in German...; 2013; Sattelberger, S.
- Specific mixed-mode methodologies to include sensory disabled people in quantitative surveys; 2013; Sebastien, F., Marc, J., Patrick, I.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, S., Kim, S. Y.
- Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys; 2013; Suzer-Gurtekin, Z., Heeringa, S. G., Valliant, R. L.
- Random versus Systematic Error in a Mixed Mode Online-Telephone Survey; 2013; Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.