Learning to Do Qualitative Data Analysis: A Starting Point
Learning to Do Qualitative Data Analysis: A Starting Point
复制标题
DOI：
10.1177/1534484320903890
复制
发表时间：
2020-03-01
影响因子：
6.4
通讯作者：
Lochmiller, Chad R.
中科院分区：
文献类型：
--
作者：
Lester, Jessica Nina;Cho, Yonjoo;Lochmiller, Chad R.
考虑到定性分析领域的广阔和多样化，对于那些渴望学习如何产生高质量定性分析的研究人员来说，什么可能是一个生成的起点？这个问题与刚进入定性研究领域和实践的研究人员以及定期向学生介绍定性研究实践的教师和导师特别相关。在本文中，我们试图提供我们认为是学习如何进行定性分析的一个有用的起点。我们首先简要讨论定性研究方法和方法的总体概况。为了使我们的建议具体化，我们回顾了人力资源开发（HRD）中常用的定性分析实践。在此之后，我们更详细地描述了主题分析，包括为什么我们认为在第一次学习定性分析时，它是一种特别有用的分析方法。我们分享了进行专题分析的七个常见做法或重要考虑因素，并在最后强调了在进行专题分析时确保质量的关键考虑因素。
Given the vast and diverse qualitative analytic landscape, what might be a generative starting point for researchers who desire to learn how to produce quality qualitative analyses? This question is particularly relevant to researchers new to the field and practice of qualitative research and instructors and mentors who regularly introduce students to qualitative research practices. In this article, we seek to offer what we view as a useful starting point for learning how to do qualitative analysis. We begin by discussing briefly the general landscape of qualitative research methodologies and methods. To contextualize our suggestions, we review the qualitative analytic practices commonly used within human resource development (HRD). Following this, we describe thematic analysis in more detail, including why we believe it is a particularly useful analytic approach to consider when first learning about qualitative analysis. We share seven common practices or important considerations for carrying out a thematic analysis and conclude by highlighting key considerations for assuring quality when conducting a thematic analysis.