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  • 1. Going Web-only in a complex enterprise survey: Experiences and lessons learned Archived
    Articles and reports: 11-522-X200800010987
    Description:

    Over the last few years, there have been large progress in the web data collection area. Today, many statistical offices offer a web alternative in many different types of surveys. It is widely believed that web data collection may raise data quality while lowering data collection costs. Experience has shown that, offered web as a second alternative to paper questionnaires; enterprises have been slow to embrace the web alternative. On the other hand, experiments have also shown that by promoting web over paper, it is possible to raise the web take up rates. However, there are still few studies on what happens when the contact strategy is changed radically and the web option is the only option given in a complex enterprise survey. In 2008, Statistics Sweden took the step of using more or less a web-only strategy in the survey of industrial production (PRODCOM). The web questionnaire was developed in the generalised tool for web surveys used by Statistics Sweden. The paper presents the web solution and some experiences from the 2008 PRODCOM survey, including process data on response rates and error ratios as well as the results of a cognitive follow-up of the survey. Some important lessons learned are also presented.

    Release date: 2009-12-03
  • 2. Can we make official statistics with self-selection web surveys? Archived
    Articles and reports: 11-522-X200800010989
    Description:

    At first sight, web surveys seem to be an interesting and attractive means of data collection. They provide simple, cheap and fast access to a large group of people. However, web surveys also suffer from methodological problems. Outcomes of web surveys may be severally biased, particularly if self-selection of respondents is applied instead of proper probability sampling. Under-coverage is also a serious problem. This raises the question whether web surveys can be used for data collection in official statistics. This paper addresses the problems under-coverage and self-selection in web surveys, and attempts to describe how Internet data collection can be incorporated in normal data collection practices of official statistics.

    Release date: 2009-12-03
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  • 1. Going Web-only in a complex enterprise survey: Experiences and lessons learned Archived
    Articles and reports: 11-522-X200800010987
    Description:

    Over the last few years, there have been large progress in the web data collection area. Today, many statistical offices offer a web alternative in many different types of surveys. It is widely believed that web data collection may raise data quality while lowering data collection costs. Experience has shown that, offered web as a second alternative to paper questionnaires; enterprises have been slow to embrace the web alternative. On the other hand, experiments have also shown that by promoting web over paper, it is possible to raise the web take up rates. However, there are still few studies on what happens when the contact strategy is changed radically and the web option is the only option given in a complex enterprise survey. In 2008, Statistics Sweden took the step of using more or less a web-only strategy in the survey of industrial production (PRODCOM). The web questionnaire was developed in the generalised tool for web surveys used by Statistics Sweden. The paper presents the web solution and some experiences from the 2008 PRODCOM survey, including process data on response rates and error ratios as well as the results of a cognitive follow-up of the survey. Some important lessons learned are also presented.

    Release date: 2009-12-03
  • 2. Can we make official statistics with self-selection web surveys? Archived
    Articles and reports: 11-522-X200800010989
    Description:

    At first sight, web surveys seem to be an interesting and attractive means of data collection. They provide simple, cheap and fast access to a large group of people. However, web surveys also suffer from methodological problems. Outcomes of web surveys may be severally biased, particularly if self-selection of respondents is applied instead of proper probability sampling. Under-coverage is also a serious problem. This raises the question whether web surveys can be used for data collection in official statistics. This paper addresses the problems under-coverage and self-selection in web surveys, and attempts to describe how Internet data collection can be incorporated in normal data collection practices of official statistics.

    Release date: 2009-12-03
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