Web Survey Bibliography
Satisficing response behavior is a widely recognized hazard in Web surveys because interview supervision is limited in absence of a human interviewer. Therefore, it is important to devise methods which help to identify satisficing. Some authors have recently proposed to use response latencies as a measure of how much cognitive effort respondents devote to answer survey questions (e.g. Callegaro et al. 2004). Following this line of reasoning, exceptionally short response latencies are conceived as an indication of low cognitive effort, i.e. satisficing, while longer response times indicate more careful cognitive processing. Based on these considerations, this paper discusses several approaches to identify satisficing respondents which make use of the interview duration and response latencies. These paradata have the advantage that they can be used as unobtrusive and direct measures of the depth of cognitive processing. Using data from a cross-sectional Web survey with respondents from a non-probability online panel, indicators for response behaviors are constructed which are commonly assumed to result from satisficing, e.g. non-differentiation in matrix questions or frequently choosing the DK option. Then, analyses are performed to examine whether the response time-based approaches are suited to identify satisficing respondents. Lastly, the results are compared in order to assess which of the approaches performs best. The paper concludes with a discussion and critical reflection of using response time-based approaches in the identification of satisficing and points out further research desiderata.
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Web survey bibliography (4086)
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- 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.
- 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.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, Se., 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.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Mobility and Smartphones: a pilot study of travel data collection among experienced and inexperienced...; 2013; Douhou, S., Scherpenzeel, A.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- The Relation of Survey Topic and Participation Behavior. Analyzing Unit Nonresponse using web-generated...; 2013; Zillmann, D., Schmitz, A., Blossfeld, H. P.
- Exploring patterns of academic usage: A Google Scholar based study of ESS, EVS, WVS and ISSP academic...; 2013; Malnar, B.
- Adding Observation to Copy Testing with Kids; 2013; Hurley, B., Salo, M.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Gamified Surveys: Journey Into Product Development; 2013; Adamou, B.
- Phish Rising: How Internet Criminals are Undermining the Viability of Online Survey Research…and...; 2013; Kunovic, K.
- Möglichkeiten zur impliziten Messung von Emotionen am Beispiel webcambasierter Gesichtsausdruckserkennung...; 2013; Wachenfeld, A., Moentmann, A., Bernet, F.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Identifying and Mitigating Satisficing in Web Surveys: Some Experimental Evidence; 2013; Rossmann, J.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.
- Latent legitimacy: joint effects of religious orientation on the association between values and acceptance...; 2013; Henseler, A. K., Siegers, P., Beckers, T.
- Identifying Satisficing Respondents in Web Surveys: A Comparison of Different Response Time-Based Approaches...; 2013; Rossmann, J.
- Comparison of quality of web survey and CATI data using unobtrusive response latencies; 2013; Mayerl, J.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- Trends in Dutch egalitarian attitudes, 1975-2010: An age-period-cohort analysis; 2013; Meuleman, B., Oorschot, W. V.
- Comparing Questionnaire Pretesting Methods for the 2015 Population and Housing Census of Korea; 2013; Park, Y.
- Mixed Methods in Cognitive Interviewing: An analysis of the Russian version of the Schwartz Value Survey...; 2013; Efremova, M., Panyusheva, T.
- A mixed methods approach to investigate how Cognitive Interviewing findings can improve the validity...; 2013; Padilla, J. L., Miller, K., Loeb, M.
- Validity of Measuring Educational Attainment - Education and Value Orientation in the European Values...; 2013; Ortmanns, V.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- Error Prevention through Interviewer Emulation? Introducing questionnaire dialogues in the Norwegian...; 2013; Gravem, D. F.
- Multiple Group Confirmatory and Exploratory Factor Analysis: Exploring Measurement Invariance by Rotational...; 2013; Asparouhov, T.
- BSEM Measurement Invariance Analysis; 2013; Muthen, B. O.
- Does It Pay Off to Include Non-Internet Households in an Internet Panel? ; 2013; Leenheer, J., Scherpenzeel, A.
- ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service; 2013; Freelon, D. G.
- Classifying Mouse Movements and Providing Help in Web Surveys; 2013; Horwitz, R.
- Old versus New: The Comparative Efficiency of Mail and Internet Surveys of State Legislators.; 2013; Fisher, S. H., Herrick, R.