Assessing the visual Q method online research tool: A usability, reliability, and methods agreement analysis

Author:

Nazariadli Shahab1,Morais Duarte B12,Supak Stacy13,Baran Perver K13,Bunds Kyle S1

Affiliation:

1. Department of Parks, Recreation and Tourism Management, North Carolina State University, Raleigh, NC, USA

2. Department of Geography, Environmental Management & Energy Studies, University of Johannesburg, Johannesburg, South Africa

3. Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA

Abstract

The traditional paper-based Q method was introduced to the social sciences in the 1930s. However, despite its unique capability for measuring peoples’ subjective opinions, the method has not been broadly employed by researchers. Moreover, despite recent efforts to administer the Q method surveys via the Internet, they have been mostly limited to the usage of textual prompts. Besides, there is no concrete evidence on the usability, reliability, and agreement analysis between the online Q method research tools and the traditional paper-based Q method. Therefore, the visual Q method online research tool was developed to resolve these deficiencies and add new dimensions (audio and video) to the Q method research. The development of the visual Q method platform was a three-stage process that commenced with a usability test on 31 visitors to a local museum. Second, a test–retest reliability analysis with a convenient sample of 37 students resulted in a high reliability coefficient superior to that of the traditional paper-based Q method. Third, the analysis of agreement between the visual Q method and the traditional paper-based Q method on a sample of 10 students revealed substantial similarities between their generated (V)Q sorts. Overall, the study findings provide substantial evidence on the usability and rigor of the visual Q method online research tool.

Publisher

SAGE Publications

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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