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dc.contributor.authorArnulf, Jan Ketil
dc.contributor.authorLarsen, Kai Rune
dc.contributor.authorMartinsen, Øyvind Lund
dc.date.accessioned2018-05-02T11:05:34Z
dc.date.available2018-05-02T11:05:34Z
dc.date.created2018-02-08T23:47:53Z
dc.date.issued2018
dc.identifier.citationSage Open, 2018, 8(1), 1-18.nb_NO
dc.identifier.issn2158-2440
dc.identifier.urihttp://hdl.handle.net/11250/2496713
dc.description.abstractThe semantic theory of survey responses (STSR) proposes that the prime source of statistical covariance in survey data is the degree of semantic similarity (overlap of meaning) among the items of the survey. Because semantic structures are possible to estimate using digital text algorithms, it is possible to predict the response structures of Likert-type scales a priori. The present study applies STSR in an experimental way by computing real survey responses using such semantic information. A sample of 153 randomly chosen respondents to the Multifactor Leadership Questionnaire (MLQ) was used as target. We developed an algorithm based on unfolding theory, where data from digital text analysis of the survey items served as input. Upon deleting progressive numbers (from 20%-95%) of the real responses, we let the algorithm replace these with simulated ones, and then compared the simulated datasets with the real ones. The simulated scores displayed sum score levels, alphas, and factor structures highly resembling their real origins even if up to 86% were simulated. In contrast, this was not the case when the same algorithm was operating without access to semantic information. The procedure was briefly repeated on a different measurement instrument and a different sample. This not only yielded similar results but also pointed to need for further theoretical and practical developments. Our study opens for experimental research on the effect of semantics on survey responses using computational procedures.nb_NO
dc.language.isoengnb_NO
dc.publisherSagenb_NO
dc.relation.urihttp://journals.sagepub.com/doi/pdf/10.1177/2158244018764803
dc.titleRespondent Robotics: Simulating responses to Likert-scale survey itemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.journalSage Opennb_NO
dc.identifier.doi10.1177/2158244018764803
dc.identifier.cristin1563464
dc.description.localcode1, OAnb_NO
cristin.unitcode158,4,0,0
cristin.unitnameInstitutt for ledelse og organisasjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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