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所在平台: Udemy |
课程主页: https://www.udemy.com/course/a-practical-guide-to-qualitative-research/
课程评论：没有评论
课程名称：实用定性研究指南 课程概述：本课程旨在为目标受众提供一份实用的定性研究指南，帮助他们在撰写有效的学术出版物（例如：论文、学位论文、期刊文章）时，掌握定性研究的方法。目标受众包括博士生和硕士生、大学讲师、用户体验研究员、创业者和服务管理者。学员将能够理解并撰写定性研究的基本组成部分，包括摘要、引言、文献综述、研究方法、研究结果、讨论以及结论，以遵循学术和行业的最佳实践。 课程内容涵盖数据收集的实践，包括选择数据收集方法、制定数据收集协议（如访谈协议）、选择抽样策略、理解饱和度来确定样本大小，并遵循研究伦理。此外，学员将了解数据分析的主要概念，如编码和主题，数据分析的主要步骤，以及确保研究结果可信赖所需的评估标准和策略。 最后，本课程还提供了多个重要建议和推荐，帮助研究者以有趣和信息丰富的方式展示研究结果。该指南设计的目的是传递大量重要信息，并通过著名书籍中的实例和证据进行支持，以及时有效的方式传达内容。
A practical guide to qualitative research helps the target audience to be qualified in writing effective publications (e.g., Thesis, dissertation, journal article) that are based on qualitative approach. The target audience (e.g., PhD and master's degree students, lecturers at university, User Experience researchers, entrepreneurs and service managers) will be able to understand and write the content of the basic components in qualitative research. This means that researchers will be qualified to write abstract, introduction, literature review, research methodology, findings and discussion and conclusion according to best practices in academia and industry. Moreover, researchers will understand the practices of data collection which include selecting data collection methods, creating data collection protocol (e.g., interview protocol), selecting sampling strategy, understanding saturation to determine sample size, and following research ethics. Furthermore, researchers will understand the main concepts of data analysis such as codes and themes, the main steps of data analysis and evaluation criteria and strategies that are necessary to make the findings trustworthy. Finally, this course provides multiple pieces of advice and recommendations that are important to present findings in an interesting and informative manner. This guide was designed to deliver huge and significant information which is supported by examples and evidence from renowned books in a timely manner.
