A Case Study of Qualitative Methods

Colleen M. Lewis
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引用次数: 3

Abstract

In research – and many parts of life – we only see the finished product, a snapshot of calm and certainty even when the reality is chaotic. When people meet me, they might learn that I am a computer science (CS) professor. I assume they would never guess that I nearly failed data structures in college and still struggled in my second attempt. They would never imagine how many interviews I bombed and graduate schools I did not get into. They don’t see the inevitable paper and grant rejections or poor teaching evaluations. Those things aren’t on my CV, but reflecting back, I see these as some of the most influential elements for my learning. This chapter is a narrative of the actual doing of a research study, what Roth (2006) calls a praxis narrative. I hope to give you a “feel for the game” (Bourdieu, 1992) of doing one type of qualitative research. Ideally, you will gain some insights into qualitative methods, or at least recognition that if it feels chaotic, it is not necessarily wrong. Textbooks about qualitative methods have a burden of providing clarity to the methods. This chapter instead seeks to show all of the mess and ambiguity. In our current context, where computing knowledge is often perceived as only available to the intellectual elite or people with a “geek gene,” it is our responsibility to challenge these notions and help others see our humanness. I will attempt to do that while telling the backstory of this paper. In this chapter, I will share some of what I learned through writing, revising, and now reflecting on a paper that traversed a particularly rocky path. My qualitative analysis was eventually published in a paper at the Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE) International Computing Education Research (ICER) conference (Lewis, 2012a), but the path there was a bit bumpy. The analysis came from my master’s thesis (submitted December 2009), abbreviated to submit to ICER in April of 2010. It was rejected from ICER in 2010 and again in 2011. Despite the suspicion that the manuscript was doomed, I decided to revise and resubmit it again in 2012. Only in this third submission to ICER was it accepted. I received incredibly thoughtful – and harsh – reviews of my first submission to ICER in 2010. At that time, my work was described as preliminary and that the contribution was fairly minimal.
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定性方法的案例研究
在研究中——以及生活的许多方面——我们看到的只是最终的成果,即使现实是混乱的,我们也只能看到平静和确定的快照。当人们见到我时,他们可能会知道我是一名计算机科学(CS)教授。我想他们永远不会猜到,我在大学里几乎没有通过数据结构考试,在第二次尝试中仍然挣扎。他们永远无法想象我面试失败了多少次,我没能进入研究生院。他们看不到不可避免的论文和拨款被拒或糟糕的教学评估。这些都没有写在我的简历上,但回想起来,我认为这些是对我的学习最有影响的因素。这一章是对一项研究的实际行为的叙述,罗斯(2006)称之为实践叙述。我希望能给你一种“游戏的感觉”(Bourdieu, 1992)。理想情况下,您将获得一些关于定性方法的见解,或者至少认识到,如果感觉混乱,它不一定是错误的。关于定性方法的教科书有责任为这些方法提供清晰的说明。相反,本章试图展示所有的混乱和模糊。在我们当前的环境中,计算机知识通常被认为只有知识精英或具有“极客基因”的人才能获得,我们有责任挑战这些观念,并帮助他人看到我们的人性。我将在讲述这篇论文的背景故事时尝试做到这一点。在这一章中,我将分享一些我从写作、修改和现在反思一篇经历了特别坎坷的论文中学到的东西。我的定性分析最终发表在计算机协会(ACM)计算机科学教育特别兴趣小组(SIGCSE)国际计算教育研究(ICER)会议(Lewis, 2012a)上的一篇论文中,但这条道路有点坎坷。分析来自于我的硕士论文(提交于2009年12月),简称为2010年4月提交给ICER。它在2010年和2011年两次被ICER拒绝。尽管怀疑这篇文章注定要失败,我还是决定在2012年修改并重新提交。只有在第三次提交给ICER时才被接受。2010年,我第一次提交给ICER的作品收到了令人难以置信的周到和严厉的评论。当时,我的工作被描述为初步的,贡献相当小。
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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