Hai-Jew, Shalin (2021, December). Setting up and running a Q-methodology study in an online survey research suite. In Information Resources Management Association (Eds.), Research anthology on innovative research methodologies and utilization across multiple disciplines (pp. 417-451, Chap. 22). Hershey, PA: IGI Global. (Chapter doi: 10.4018/978-1-6684-3881-7.ch022, chapter $37.50 on demand) (cloth $375.00, ISBN13 9781668438817; eBook EISBN13: 9781668438824)

Abstract: The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

Shalin Hai-Jew <shalin@ksu.edu> is in the Department of Information Technology Services, Kansas State University, Manhattan, KS (USA).

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