Web Survey Bibliography
Title Technology Effects: Do CAPI or PAPI Interviews Take Longer?
Author Fuchs, M., Couper, M. P., Hansen, S. E.
Source Journal of Official Statistics, 16, 3, pp. 273-286
Year 2000
Access date 15.12.2004
Full text pdf (129k)
Abstract 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.
Access/Direct link Homepage - journal (full text)
Year of publication2000
Bibliographic typeJournal article
Web Survey Bibliography - Journal of Official Statistics (73)
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- Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection; 2012; Wagner, J., West, B. T., Kirgis, N., Lepkowski, J. M., Axinn, W., Kruger-Ndiaye, S.
- Improving RDD Cell Phone Samples. Evaluation of Different Pre-call Validation Methods; 2012; Kunz, T., Fuchs, M.
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- Dual Frame Web#Telephone Sampling for Rare Groups; 2006; Blair, E., Blair, J.
- Merely Incidental?: Effects of Response Format on Self-reported Behavior; 2006; Thomas, R. K., Klein, J. D.
- The Influence of Web-based Questionnaire Presentation Variations on Survey Cooperation and Perceptions...; 2006; Walston, J. T., Lissitz, R. W., Rudner, L. M.
- Can Web and Mail Survey Modes Improve Participation in an RDD-based National Health Surveillance?; 2006; Link, M. W., Mokdad, A.
- Dropouts on the Web: Effects of Interest and Burden Experienced During an Online Survey; 2006; Galesic, M.
- Propensity Score Adjustment as a Weighting Scheme for Volunteer Panel Web Surveys; 2006; Lee, Sunghee
- Use and Non-use of Clarification Features in Web Surveys; 2006; Conrad, F. G., Couper, M. P., Tourangeau, R., Peytchev, A.
- Putting a Questionnaire on the Web is not Enough # A Comparison of Online and Offline Surveys Conducted...; 2006; Faas, T., Schoen, H.; de Rouvray, C.
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- How to Mix Modes; 2005; de Leeuw, E. D.
- Promoting Uniform Question Understanding in Today's and Tomorrow's Surveys; 2005; Conrad, F. G., Schober, M. F.
- To Mix or Not to Mix Data Collection Modes in Surveys; 2005; de Leeuw, E. D.
- Telephone, Internet, and Paper Data Collection Modes for the Census 2000 Short Form; 2005; Schneider, S. J., Cantor, D., Malakhoff, L., Arieira, C., Segel, P., Nguyen, K.-L., Guarino Tancreto...
- List-based Web Surveys: Quality, Timeliness, and Nonresponse in the Steps of the Participation Flow; 2004; Pratesi, M., Lozar Manfreda, K., Biffignandi, S., Vehovar, V.
- List-based Web Surveys: Quality, Timeliness, and Nonresponse in the Steps of the Participation Flow; 2004; Pratesi, M., Lozar Manfreda, K., Biffignandi, S., Vehovar, V.
- Does Voice Matter? An Interactive Voice Response (IVR) Experiment; 2004; Couper, M. P., Singer, E., Tourangeau, R.
- TADEQ: A Tool for the Documentation and Analysis of Electronic Questionnaires; 2004; Bethlehem, J., Hundepool, A.
- Identifying and Reducing Response Burdens in Internet Business Surveys; 2004; Haraldsen, G.
- Prevention and Treatment of Item Nonresponse; 2003; de Leeuw, E. D., Hox, J., Huisman, M.
- Models in the Practice of Survey Sampling (Revisited); 2002; Kalton, G.
- A Comparison Between Mail and Web Surveys: Response Pattern, Respondent Profile, and Data Quality; 2002; Kwak, N., Radler, B.T.
- Developing Usability Guidelines for AudioCasi Respondents with Limited Literacy Skills; 2000; Schneider, S. J., Edwards, B.
- Technology Effects: Do CAPI or PAPI Interviews Take Longer?; 2000; Fuchs, M., Couper, M. P., Hansen, S. E.
- Calibration as a standard method for treatment of nonresponse; 1999; Lundstrom, S., Sarndal, C.-E.
- A Comparison of Mail and E-mail for a Survey of Employees in U.S. Statistical Agencies; 1999
- A Disk by Mail Survey of Pupils in Primary Schools: Data Quality and Logistics; 1999; van Hattum, M. J. C., de Leeuw, E. D.
- The Effect of Incentives on Response Rates in Interviewer-Mediated Surveys; 1999; Singer, E., van Hoewyk, J., Gebler, N., Raghunathan, T., McGonagle, K.