Q methodologist views on the future of Q: a study of a research community

Author:

Ramlo SusanORCID

Abstract

AbstractIt has been almost 90 years since William Stephenson’s 1935 letter to Nature that opened the door for Q methodology [Q]. Criticisms and excitement ensued and continue into the present within and outside of the Q research community. Yet, any research community contains researchers with different positionalities about the methodology’s philosophical framework, and best practices regarding data collection and/or data analysis. A relatively recent Q study indicated differences of opinion among Q methodologists when it comes to data analysis and its philosophical framework. Twenty years ago, Hurd and Brown uncovered four divergent viewpoints about the Q community’s view of the future of Q. Thus, especially with Q’s growing popularity, it seemed time to repeat that study with some change to the subjective statements used within the data collection phase, as many changes have occurred especially regarding technological advances for data collection and data analysis. Two viewpoints were uncovered, Tradition and Community, with a focus on the theoretical framework provided by Stephenson and the welcoming nature of the Q community, and Unorthodox with Expansion of Q, with a yearning to expand Q both physically and theoretically including a willingness to move beyond Stephenson’s vision. The discussion and conclusion focus on the implications of these perspectives and their shared consensus for the future of Q methodology as well as implications for other research methodologies. In other words, this study provides a demonstration of complementarity for understanding the behavior of all types of research communities.

Publisher

Springer Science and Business Media LLC

Reference42 articles.

1. Akhtar-Danesh, N.: An overview of the statistical techniques in Q methodology: Is there a better way of doing Q analysis? Operant Subjectivity. 38(3/4) (2017). https://doi.org/10.22488/okstate.17.100553

2. Akhtar-Danesh, N.: Impact of factor rotation on Q-methodology analysis. PLoS ONE. 18(9), e0290728 (2023). https://doi.org/10.1371/journalpone.0290728

3. Banasick, S.: EQ Web Sort (Version 2.0.0) [Software]. (2022). https://github.com/shawnbanasick/eq-web-sort

4. Banasick, S.: KADE (Version 1.2.1) [Software]. (2023). https://github.com/shawnbanasick/kade

5. Brown, S.R.: Political Subjectivity: Applications of Q Methodology in Political Science. Yale University Press (1980)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3