Web Survey Bibliography
Relevance & Research Question: Mixed methods research designs comprising qualitative and quantitative data collection & analysis mechanisms offer many benefits to researchers. While triangulation of research findings is commonly considered to be the primary rationale for many mixed methods studies, researchers can also utilize a combination of methods to complement, elaborate, and add richness and detail to better understand research phenomena. This poster aims to exemplify the design of a mixed methods study by highlighting the process, procedures and products from a recent empirical investigation of member participation in online communities.
Methods & Data: As a model for mixed methods research design, the study demonstrated in this poster utilized an exploratory mixed methods research design to collect and analyze qualitative and quantitative data from members of various social, professional and commercial virtual communities. Toward this, the qualitative and quantitative approaches were utilized sequentially with the quantitative phase aiming to provide convergent validity for the findings from the qualitative phase. An adapted grounded theory methodology was used in the qualitative phase of investigation, while the quantitative analysis phase utilized structural equation modeling techniques. These phases of research drew from different sampling frames (qualitative: n = 68 ; quantitative: n = 232), and a combination of online focus groups, a qualitative web questionnaire, and a quantitative web survey instrument were used for data collection.
Results: In terms of outcomes, this poster exemplifies frameworks that can be used to convey research findings and results from qualitative and quantitative phases of investigation, and techniques that can be used for the integration of results from multiple phases. Qualitative analysis tools and techniques such as mind maps, concept maps, tag clouds, qualitative coding queries and coding matrices will be exemplified, along with their integration with quantitative exploratory factor analysis, and structural equation modeling procedures.
Added Value: Suggestions for operationalizing and performing mixed methods research are made.
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.