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

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Tijdens, Kea

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Abstract 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)
Keywords quantitative method; questionnaire; development; response behavior; test construction; data capture; measurement instrument; occupational situation; classification; online survey; methodological research
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Method empirical; quantitative empirical; development of methods
Free Keywords look-up table; search tree
Document language English
Publication Year 2015
Page/Pages 11 p.
Journal Survey Methods: Insights from the Field (2015)
ISSN 2296-4754
Status Published Version; peer reviewed
Licence Creative Commons - Attribution-Noncommercial-No Derivative Works