Web Survey Bibliography
The transition from paper-based personal interviews to computer-assisted personal interviewing (CAPI) is already well underway. Much of the early research focused on operational issues and concerns about data quality differences between the methods. Attention is now being turned to more detailed assessments of specific features of the new data collection technology and its impact on the survey process. This article deals with the question of relative administration of survey questions between paper and pencil and CAPI modes. Using data from a series of interviews (14 PAPI and 37 CAPI) using the National Health Interview Survey (NHIS) instrument conducted as part of usability testing of the instrument, a large number (over 2,200) of comparable items from the socio-demographic part of the instrument were subjected to detailed time and activity coding. These data allow us to examine reasons for time differences across the modes. Where items are comparable in terms of design across modes, we find that CAPI takes slightly longer than PAPI, largely due to the speed of typing versus writing. However, most of the time differences found can be attributed to differences of design between paper and pencil and CAPI, rather than to the technology itself. Since the early days of computer-assisted interviewing (CAI), the issue of whether computer-assisted interviews take longer than equivalent paper and pencil surveys has been discussed. Evidence in both directions can be found in the literature. To what extent does the time taken to administer survey questions depend on the technology (paper or computer) used? Or does the duration of an interview depend on the particular design features employed? In this article we explore this issue in detail, at the level of individual questions. Our goal is to understand whether and if so why the time taken to complete items on paper and on computer may differ.
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Web survey bibliography (317)
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- Electronic and paper based data collection methods in library and information science research: A comparative...; 2016; Tella, A.
- Stable Relationships, Stable Participation? The Effects of Partnership Dissolution and Changes in Relationship...; 2016; Mueller, B.; Castiglioni, L.
- Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland...; 2016; Vandenplas, C.; Joye, D.; Staehli, M. E.; Pollien, A.
- The 2013 Census Test: Piloting Methods to Reduce 2020 Census Costs; 2016; Walejko, G. K.; Miller, P. V.
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Methods can matter: Where Web surveys produce different results than phone interviews; 2016; Keeter, S.
- Do Polls Still Work If People Don't Answer Their Phones?; 2016; Edwards-Levy, A.; Jackson, N. M.
- HUFFPOLLSTER: Why Reaching Latinos Is A Challenge For Pollsters; 2016; Jackson, N. M.; Edwards-Levy, A.; Velencia, J.
- Comprehension and engagement in survey interviews with virtual agents; 2016; Conrad, F. G.; Schober, M. F.; Jans, M.; Orlowski, R. A.; Nielsen, D.; Levenstein, R. M.
- An Overview of Mobile CATI Issues in Europe; 2015; Slavec, A.; Toninelli, D.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Mixed mode surveys ; 2015; Burton, J.
- Two Are Better Than One: The Use of a Mixed-Mode Data Collection to Improve the Electoral Forecast; 2014; de Rada, V. D., Pasadas del Amo, S.
- The impact of contact effort on mode-specific selection and measurement bias; 2014; Schouten, B., van der Laan, J., Cobben, F.
- How much is shorter CAWI questionnaire VS CATI questionnaire?; 2014; Bartoli, B.
- Advantages of a global multimodal print & digital readership survey; 2013; Cour, N., Saint-Joanis, G.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Evaluating the left‐right dimension: Category Selection Probing conducted in an online access...; 2013; Huefken , V.
- Methodological, legal and technical perspectives on the feasibility of web survey paradata in German...; 2013; Sattelberger, S.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Exploring patterns of academic usage: A Google Scholar based study of ESS, EVS, WVS and ISSP academic...; 2013; Malnar, B.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.
- Survey Reminder Method Experiment: An Examination of Cost Efficiency and Reminder Mode Salience in the...; 2013; Anderson, M., Rogers, B., CyBulski, K., Hall, J. W., Alderks, C. E., Milazzo-Sayre, L.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- An Evaluation of Internet Versus Paper-based Methods for Public Participation Geographic Information...; 2012; Pocewicz, A.; Nielsen-Pincus, M.; Brown, G.; Schnitzer, R.
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Specialized Tools for Measuring Past Events ; 2012; Belli, R. F.
- Modes of Data Collection; 2012; Tourangeau, R.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Using Text-to-Speech (TTS) for Audio-CASI; 2012; Couper, M. P., Kirgis, N., Buageila, S., Berglund, P.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Effects of speeding on satisficing in Mixed-Mode Surveys; 2011; Bathelt, S., Bauknecht, J.
- Web based CATI on Amazon Elastic Compute Cloud and VirtualBox using queXS; 2011; Zammit, A.
- Web/Cloud Based CATI Using queXS; 2011; Zammit, A.
- When Referring to Mode, Is Expressed Preference the Same as Reality?; 2011; Denk, K.
- Three Era's of Survey Research; 2011; Groves, R. M.
- Testing a single mode vs a mixed mode design; 2011; Laaksonen, S.