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Web Survey Bibliography

Title Comparing (Non-)Response Between a Sequential Mixed Mode Design and a Probability Based Internet Panel
Year 2011
Access date 02.08.2011
Abstract

Traditionally, there has been a strong focus within Statistics Netherlands (CBS) on collecting objective data. Few surveys have incorporated questions about people’s feelings, attitudes or opinions. However, policy makers and the general public increasingly call for this type of subjective information. Moreover, general opinion is that this information should be current. Statistics Netherlands is now exploring how to best meet this need.

Statistics Netherlands has recently implemented a sequential mixed mode design as its standard social survey data collection method. This design offers the important advantage of being relatively inexpensive, while meeting high quality standards. It has, however, a number of drawbacks, some of which are pertinent to the goal of collecting current subjective information. First, the data collection period is relatively long due to the sequential design, which makes it difficult to obtain current information. Second, mode-effects may be more pronounced when collecting subjective as opposed to objective information. Collecting data via a probability based internet panel would solve these problems. However, in order to justify deviation from our standard data collection method, benefits must be unequivocal. A vital condition is that such a panel meets the high standards for representativeness.

A pilot study was designed to investigate this issue. A short survey was conducted, which asked for different types of objective and subjective information on a number of topics. Data were collected both via a sequential mixed mode design and via a probability based internet panel (the LISS-panel). Representativeness was explored using R-indicators. The results of this pilot study will be presented.

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Year of publication2011
Bibliographic typeConferences, workshops, tutorials, presentations
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Web survey bibliography - European survey research associaton conference 2011, ESRA, Lausanne (35)