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 (6389)
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