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所在平台: Udemy |
课程主页: https://www.udemy.com/course/how-to-analyse-qualitative-data/
课程评论：没有评论
**课程名称：** 如何分析定性数据 (How to analyze Qualitative data) **课程概述：** 这门课程旨在帮助学习者掌握定性数据的分析方法，纠正将定性数据分析仅仅等同于编码的误区。讲师强调，数据分析是一个贯穿编码前后的完整过程。 **课程亮点：** * **深入的分析方法：** 揭示定性数据分析的真正含义，包括编码前后的关键步骤。 * **引人入胜的教学风格：** 讲师充满激情，能引起学习者的共鸣，分享真实的研究困境，提供肯定与支持。 * **清晰的概念讲解：** 概念清晰，易于理解，帮助学习者全面掌握定性研究方法。 * **强调灵活性与主观性：** 课程强调定性分析的灵活性、动态性和主观性，鼓励学习者根据自身研究目标和问题做出判断和解读。 * **提升分析乐趣：** 旨在让学习者认识到定性数据分析的乐趣。 **学习收获：** * 理解定性数据分析的核心概念、阶段和步骤。 * 掌握超越编码的全面数据分析技能。 * 建立对定性研究过程的信心和兴趣。 **适合人群：** 对定性数据分析感兴趣，或正在进行相关研究项目的学习者。 （请注意：课程大纲部分为空，更多详细内容请参考视频及课程设置。）
"I love the presenter's obvious passion for the subject. He talks about real issues which I too have encountered. I find this both affirming and reassuring. Thank you."⭐⭐⭐⭐⭐"Jarek, Thank you for your course- it helped tremendously in conceptually griping the qualitative approach in applying it to my research project."⭐⭐⭐⭐⭐"Thanks to this course, I became aware of the main concepts, stages and steps involved in the analysis of qualitative data. The course is presented in a wonderful way and concepts are clearly explained by the tutor. I have learnt a lot from this course. keep up the good work Dr"⭐⭐⭐⭐⭐In this course, I will teach you how to analyse qualitative data. Too often qualitative data analysis is equated with simply coding it. As I will show you in this course, however, data analysis starts way before coding, and finishes way after the coding is done.I love analyzing qualitative data and my personal aim, apart from equipping you with the knowledge required to analyse your data, is to help you understand how enjoyable a process it can be. I also want you to realize that this is not like science - this is a flexible, dynamic and subjective process, and how you analyse your data will depend, above all, on your own decisions and interpretations, your aims and your research questions.Please watch the video and scroll down to the course curriculum to learn more about the course content, and feel free to ask me questions if you are not sure whether this course is for you. Otherwise, see you in the course!:)Dr K (Jarek)
