Web Survey Bibliography
Title The first year of computer-assisted interviewing for the Canadian Labour force survey
Author Simard, M., Dufour, J., Mayda, F.
Source Proceedings of the Survey Research Methods Section, American Statistical Association, 1995, pp. 533-538
Year 1995
Access date 10.08.2004
Full text pdf (587k)
Abstract As part of its decennial redesign, the Canadian Labour Force Survey (LFS) has recently undergone a major technological changeover. Computer-Assisted Interviewing (CAI) is now the new data collection method. Since November 1993, the CAI mode has been gradually introduced in the LFS. Within a few months, portable computers (notebooks) replaced the traditional Paper And Pencil Interviewing (PAPI). This paper describes the major impact of this important change on some data quality indicators as well as the challenges encountered during the implementation. It also discusses the introduction of new types of quality indicators which are now available with the implementation of CAI.
This paper is divided into four sections. The first section briefly describes the Canadian Labour Force Survey. The second section discusses the conversion strategy from PAPI to CAl. The third section analyses current and new data quality indicators. The current data quality indicators are measures which are regularly produced such as nonresponse rates and edit failure rates. New data quality indicators can be divided into two types. There are those which were produced since the introduction of CAl to monitor and measure the performance of CAl. As well, there are the quality indicators from the case management system of CAl which provide previously unavailable information about the interview process, such as the average duration of the interview and the number of calls required to contact the respondent. The last section outlines the lessons learned and the future of CAI for the LFS.
This paper is divided into four sections. The first section briefly describes the Canadian Labour Force Survey. The second section discusses the conversion strategy from PAPI to CAl. The third section analyses current and new data quality indicators. The current data quality indicators are measures which are regularly produced such as nonresponse rates and edit failure rates. New data quality indicators can be divided into two types. There are those which were produced since the introduction of CAl to monitor and measure the performance of CAl. As well, there are the quality indicators from the case management system of CAl which provide previously unavailable information about the interview process, such as the average duration of the interview and the number of calls required to contact the respondent. The last section outlines the lessons learned and the future of CAI for the LFS.
Access/Direct link Homepage - conference (full text)
Year of publication1995
Bibliographic typeConference proceedings
Web Survey Bibliography (6390)
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- Recruiting respondents for web surveys: random and other samples; 2002; Schonlau, M.
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- Building Relationships with Portal Users: The Interplay of Motivation and Relational Factors; 2002; Yoon, D., Cropp, F., Cameron, G.
- The Impact of the Internet on Society; 2002; Allin, P., Bowman, J., Cooper-Green, E. J., Randall, C.
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- Measuring the Digital Divide; 2002; Riccardini, F., Fazio, M.
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- The construction of attitudes; 2001; Schwarz, N., Bohnerd, G.
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- Sociability and usability in online communities: determining and measuring success; 2001; Preece, J.
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- Introduction to behavioral research on the internet; 2001; Birnbaum, M. H.
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- Experiments on column width spacing in the University of Michigan Student Life Survey; 2001; Boyd, C. J., McCabe, S. E., Couper, M. P., Crawford, S. D.
- Building an alternative response process model for business surveys; 2001; Willimack, D. K., Nichols, E. M.
- Ethische Dimensionen der Online-Forschung; 2001; Dzeyk, W.
- Panel Bias from Attrition and Conditioning: A Case Study of the Knowledge Networks Panel; 2001; Clinton, J. D.
- Standards for Quality Assurance for Online Surveys; 2001
- Differential effects of Ecstasy and cannabis on self-reports of memory ability: a web-based study; 2001; Rodgers, J., Buchanan, T., Scholey, A. B., Heffernan, T. M., Ling, J., Parrott, A. C.
- Ethical issues in qualitative research on internet communities; 2001; Eysenbach, G., Till, E. J.
- Web experiment on colour harmony principles applied to computer user interface design; 2001; Laugwitz, B.
- Knowledge acquisition, navigation and eye movements from text and hypertext; 2001; Naumann, A., Waniek, J., Krems, J. F.
- CGI versus JavaScript: A Web experiment on the reversed hindsight bias; 2001; Schwarz, S., Reips, U. -D.
- Stimulus delivery on the Web: What can be presented when calibration isn t possible; 2001; Krantz, J. H.
- Score Reliability in Webor Internet-Based Surveys: Unnumbered Graphic Rating Scales versus Likert-Type...; 2001; Cook, C., Heath, F., Thompson, R. L., Thompson, B.
- Lessons Learned from the Administration of a Web-Based Survey; 2001; Mertler, C. A.
- A Comparison of Web-based and Paper-and-Pencil Library Satisfaction Survey Results; 2001; Perkins, G. H., Yuan, H.
- A Comparison of the Random Digit Dialing Telephone Survey Methodology with Internet Survey Methodology...; 2001; Chang, L. C., Krosnick, J. A.
- On-line student feedback: A pilot study ; 2001; Galbraith, L. B., Gee, P., Jennings, F., Riley, R.
- Comparing Two Survey Research Approaches: E-Mail and Web-Based Technology versus Traditional Mail ; 2001; Howes, C. M., Mailloux, M. R.
- Probability-Based Survey Research on the Internet; 2001; Krotki, K., Dennis, J. M.
- Population Censuses on the Internet; 2001; Haug, W.
- Internet Surveys - Potentials for Use in Scientific Research; 2001; Galesic, M.
- Comparing social desirability responding on world wide web and paper-administered surveys; 2001; Hancock, D. R., Flowers, C. P.
- Facilitating research; 2001; Eysenbach, G., Wyatt, J. C.
- Metaevaluation of the Web-Based ATE Survey Evaluation System; 2001; Hartmann, D., Loizides, G.
- Online Data Collection With Special Populations Over the World Wide Web; 2001; Marcell, M. M., Falls, A. L.
- Trials and Tribulations: Conducting an Online, Web-based Survey; 2001; Jankowski, N. W., Van Selm, M.
- Reliability And Comparability Of Choice-Based Measures: Online and Paper-and-Pencil Methods of Administration...; 2001; Miller, T. W., Rake, D., Sumimoto, T., Hollman, P. S.
- Experimental analysis of survey response bias over the internet: Some results from the Retirement Perspectives...; 2001; McFadden, D., Winter, J.
- Retaining Virtue in a Virtual World: E-surveys in Public Policy Research; 2001; Mallett, T.
- Literature Review of Web and E-mail Surveys, Chapter III; 2001; Schonlau, M., Fricker, R. D., Elliot, M. N.
- Comparing Two Survey Approaches: Web and Traditional Mail; 2001; Howes, C. M., Mailloux, M. R.
- Weighting for nontelephone households in RDD surveys; 2001; Ferraro, D., Brick, J. M.
- A Comparison Of Electronic Surveying By E-Mail And Web; 2001; Brawner, C. E., Felder, R. M., Allen, R. H., Brent, R., Miller, T. K.