Subjective preferences towards various conditions of self-administered questionnaires: AHP and conjoint analyses
Rafał Michalski () and
Marta Staniow
No WORMS/18/08, WORking papers in Management Science (WORMS) from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology
Abstract:
Using questionnaires for eliciting data from respondents has a long term history. The present paper focuses on subjects’ preferences towards specific self-administered questionnaire designs and circumstances in which these experiments are carried out. The paper examines three factors, that is, the assistant presence (yes, no), survey form (paper or electronic), and scale type (visual analogue or Likert). A pairwise comparison technique was employed to obtain participants’ opinions. Calculations of the relative preferences were performed according to the Analytic Hierarchy Process (AHP) methodology. The conjoint methodology employed in this study provided partial utilities of the examined factor levels and relative importances for the effects. Apart from verifying the statistical significance of the investigated factors, the analysis of variance revealed also possible interactions between them.
Keywords: questionnaire design; subjects’ preferences; survey form; scale type; surveyor presence (search for similar items in EconPapers)
JEL-codes: C00 D83 D91 L15 L81 L86 M31 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Published in Michalski R., Staniów M. (2018). Subjective preferences towards various conditions of self-administered questionnaires: AHP and conjoint analyses. [In:] A. Marcus, W., Wang (Ed.), Human-Computer Interaction: Design, User Experience and Usability, HCII 2018, LNCS 10918, Springer, pp. 439–450. http://dx.doi.org/10.1007/978-3-319-91797-9_32
Downloads: (external link)
https://worms.pwr.edu.pl/RePEc/ahh/wpaper/WORMS_18_08.pdf Final version, 2018 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ahh:wpaper:worms1808
DOI: 10.1007/978-3-319-91797-9_32
Access Statistics for this paper
More papers in WORking papers in Management Science (WORMS) from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology Contact information at EDIRC.
Bibliographic data for series maintained by Anna Kowalska-Pyzalska ().