The Case for Computational Competence and Transversal Skills: Using Digital Tools and Spaces for Qualitative Research

Elizabeth M. Pope, António Pedro Costa
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引用次数: 1

Abstract

When digital tools or spaces are involved in the design and implementation of qualitative research projects, the researcher is faced with the need to develop another type of competence, computational. Digital tools and spaces are growing avenues which facilitate data collection and analysis in new ways, such as through online surveys, videoconferencing platforms, social media sites, and qualitative data analysis software (QDAS). To utilize these tools, researchers need both computational competence and transversal skills. These skills allow the researcher (or research team) to transfer their knowledge of designing and implementing qualitative research to the digital realm, assuring trustworthiness and ethical behavior in using a digital tool or space. This essay discusses these two dimensions and how appropriating computational competence and transversal skills through digital tools or spaces may lead to higher-quality research projects.
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计算能力和横向技能的案例:使用数字工具和空间进行定性研究
当数字工具或空间涉及到定性研究项目的设计和实施时,研究人员面临着开发另一种能力的需要,即计算能力。数字工具和空间正在以新的方式促进数据收集和分析,例如通过在线调查、视频会议平台、社交媒体网站和定性数据分析软件(QDAS)。为了利用这些工具,研究人员需要计算能力和横向技能。这些技能允许研究人员(或研究团队)将他们设计和实施定性研究的知识转移到数字领域,确保在使用数字工具或空间时的可信度和道德行为。本文讨论了这两个维度,以及如何通过数字工具或空间适当的计算能力和横向技能可能导致更高质量的研究项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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