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• 1. Multimode surveys from the perspective of total survey error Archived

  Articles and reports: 11-522-X201300014261

  Description:

  National statistical offices are subject to two requirements that are difficult to reconcile. On the one hand, they must provide increasingly precise information on specific subjects and hard-to-reach or minority populations, using innovative methods that make the measurement more objective or ensure its confidentiality, and so on. On the other hand, they must deal with budget restrictions in a context where households are increasingly difficult to contact. This twofold demand has an impact on survey quality in the broad sense, that is, not only in terms of precision, but also in terms of relevance, comparability, coherence, clarity and timeliness. Because the cost of Internet collection is low and a large proportion of the population has an Internet connection, statistical offices see this modern collection mode as a solution to their problems. Consequently, the development of Internet collection and, more generally, of multimode collection is supposedly the solution for maximizing survey quality, particularly in terms of total survey error, because it addresses the problems of coverage, sampling, non-response or measurement while respecting budget constraints. However, while Internet collection is an inexpensive mode, it presents serious methodological problems: coverage, self-selection or selection bias, non-response and non-response adjustment difficulties, ‘satisficing,’ and so on. As a result, before developing or generalizing the use of multimode collection, the National Institute of Statistics and Economic Studies (INSEE) launched a wide-ranging set of experiments to study the various methodological issues, and the initial results show that multimode collection is a source of both solutions and new methodological problems.

  Release date: 2014-10-31

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Articles and reports (1) ((1 result))

• 1. Multimode surveys from the perspective of total survey error Archived

  Articles and reports: 11-522-X201300014261

  Description:

  National statistical offices are subject to two requirements that are difficult to reconcile. On the one hand, they must provide increasingly precise information on specific subjects and hard-to-reach or minority populations, using innovative methods that make the measurement more objective or ensure its confidentiality, and so on. On the other hand, they must deal with budget restrictions in a context where households are increasingly difficult to contact. This twofold demand has an impact on survey quality in the broad sense, that is, not only in terms of precision, but also in terms of relevance, comparability, coherence, clarity and timeliness. Because the cost of Internet collection is low and a large proportion of the population has an Internet connection, statistical offices see this modern collection mode as a solution to their problems. Consequently, the development of Internet collection and, more generally, of multimode collection is supposedly the solution for maximizing survey quality, particularly in terms of total survey error, because it addresses the problems of coverage, sampling, non-response or measurement while respecting budget constraints. However, while Internet collection is an inexpensive mode, it presents serious methodological problems: coverage, self-selection or selection bias, non-response and non-response adjustment difficulties, ‘satisficing,’ and so on. As a result, before developing or generalizing the use of multimode collection, the National Institute of Statistics and Economic Studies (INSEE) launched a wide-ranging set of experiments to study the various methodological issues, and the initial results show that multimode collection is a source of both solutions and new methodological problems.

  Release date: 2014-10-31

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