Beyond Aesthetics: Evaluating Response Widgets for Reliability & Construct Validity of Scale Questionnaires (original) (raw)

Farzand, Habiba, Al Baiaty Suarez, David, Goodge, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6229-7936, Macdonald, Shaun Alexander ORCID logoORCID: https://orcid.org/0000-0001-6519-318X, Marky, Karola, Khamis, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-7051-5200 and Cairns, Paul(2024) Beyond Aesthetics: Evaluating Response Widgets for Reliability & Construct Validity of Scale Questionnaires. In: ACM CHI Conference on Human Factors in Computing Systems (CHI 2024), Oʻahu, Hawaiʻi, USA, 11-16 May 2024, p. 55. ISBN 9798400703317(doi: 10.1145/3613905.3650751)

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Abstract

Scale questionnaires are psychometric tools that capture perspectives and experiences. Consequently, these tools need to be reliable and valid. In this paper, we investigate the impact of response widgets - the UI elements that allow users to answer scale items - on the overall scale reliability and construct validity of three varied length scale questionnaires in a user study (N=30). Our results reveal that optimum reliability was achieved using radio buttons and dropdowns in all varied-length questionnaires. Further, valid results were produced utilising the slider and dropdown. No significant differences were found in time consumption, but click count was significantly higher with dropdown. Radio buttons scored lower in format satisfaction than others, and dropdown was the least effective in ease of selection and quick completion. In light of these results, we conclude that response widgets are more than just aesthetics and should be selected as per the researcher’s aims.

Item Type: Conference Proceedings
Additional Information: This publication was supported by an Excellence Bursary Award from the University of Glasgow and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2092 CASA - 390781972.
Status: Published
Refereed: Yes
Glasgow Author(s) Enlighten ID: Al Baiaty Suarez, Mr David and Marky, Dr Karola and Goodge, Thomas and Macdonald, Dr Shaun and Khamis, Professor Mohamed and Farzand, Habiba
Authors: Farzand, H., Al Baiaty Suarez, D., Goodge, T., Macdonald, S. A., Marky, K., Khamis, M., and Cairns, P.
College/School: College of Science and Engineering > School of Computing Science
ISBN: 9798400703317

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Deposit and Record Details

ID Code: 321971
Depositing User: Ms Rachael Briggs
Datestamp: 05 Mar 2024 09:50
Last Modified: 25 Oct 2024 12:46
Date of acceptance: 1 March 2024
Date of first online publication: 11 May 2024
Date Deposited: 20 March 2024
Data Availability Statement: No