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Developing a mixed-methods digital Multiple Sorting Task procedure using Zoom and Miro

Authors :
Jing, Jing
Canter, David
Jing, Jing
Canter, David
Publication Year :
2023

Abstract

In the Multiple Sorting Task (MST) participants sort entities into their self-defined categories. The descriptions they provide of their categories provide qualitative data. Multi-dimensional scaling of sorting generates quantitative results. Relating the qualitative descriptions to the quantitative output creates integrated mixed methods. As part of the study of conceptions of public space an online MST was developed using Zoom and Miro, supported by Email and Smartphone where necessary. Twenty adult participants performed the MST with 20 pictures of public spaces in Stockholm. Results demonstrate the viability of the novel digital MST. The MST’s benefits, challenges, and applications in its digital form as an integrated mixed-methods are presented.<br />QC 20230707<br />A part of the doctoral thesis

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1400070879
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1177.20597991231181016