Journal article | Zeitschriftenartikel

Self-identification of occupation in web surveys: requirements for search trees and look-up tables

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)

ISSN
2296-4754
Extent
Seite(n): 11
Language
Englisch
Notes
Status: Veröffentlichungsversion; begutachtet (peer reviewed)

Bibliographic citation
Survey Methods: Insights from the Field

Subject
Sozialwissenschaften, Soziologie
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
quantitative Methode
Fragebogen
Entwicklung
Antwortverhalten
Testkonstruktion
Datengewinnung
Messinstrument
Berufssituation
Klassifikation
Online-Befragung
Methodenforschung
empirisch
empirisch-quantitativ
Methodenentwicklung

Event
Geistige Schöpfung
(who)
Tijdens, Kea
Event
Veröffentlichung
(where)
Deutschland
(when)
2015

DOI
URN
urn:nbn:de:0168-ssoar-440543
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:27 PM CEST

Data provider

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Object type

  • Zeitschriftenartikel

Associated

  • Tijdens, Kea

Time of origin

  • 2015

Other Objects (12)