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  • Can self-identification of occupation be applied in web surveys by using a look-up table with coded occupational titles, in contrast to other survey modes where an open format question with office-coding has to be applied? This article is among the first to explore this approach, using a random sampled web survey (N=3,224) with a three-level search tree with 1,603 occupations and offering a text box at the bottom of each 3rd level list. 67% of respondents ticked in total 585 occupations, of which 349 by at least two respondents and 236 by only one, pointing to a long tail in the distribution. The text box was used by 32% of respondents, adding 207 occupational titles. Multivariate analysis shows that text box use was related to poor search paths and absent occupations. Search paths for five of the 23 first-level entries should be improved and the look-up table should be extended to 3,000 occupations. In this way, text box use and, thus, expensive manual coding could be reduced substantially. For such large look-up tables semantic matching tools are preferred over search trees to ease respondent’s self-identification and thus self-coding. (author's abstract) (xsd:string)
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?:dateModified
  • 2015 (xsd:gyear)
?:datePublished
  • 2015 (xsd:gyear)
?:doi
  • 10.13094/SMIF-2015-00008 ()
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  • true (xsd:boolean)
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  • en (xsd:string)
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?:issn
  • 2296-4754 ()
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  • Self-identification of occupation in web surveys: requirements for search trees and look-up tables (xsd:string)
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  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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  • GESIS-SSOAR (xsd:string)
  • In: Survey Methods: Insights from the Field, 2015, 11 (xsd:string)
rdf:type
?:url
?:urn
  • urn:nbn:de:0168-ssoar-440543 ()