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Learning to Do Qualitative Data Analysis: A Starting Point
Human Resource Development Review ( IF 6.273 ) Pub Date : 2020-02-09 , DOI: 10.1177/1534484320903890
Jessica Nina Lester 1 , Yonjoo Cho 1 , Chad R. Lochmiller 1
Affiliation  

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.



中文翻译:

学习做定性数据分析:起点

鉴于广阔的定性分析领域,对于那些想学习如何进行高质量定性分析的研究人员来说,可能是一个生成起点吗?该问题与定性研究领域和实践新手的研究人员以及定期向学生介绍定性研究实践的导师和导师特别相关。在本文中,我们试图提供我们认为是学习如何的有用起点的东西。定性分析。我们首先简要讨论定性研究方法论和方法的一般情况。为了将我们的建议背景化,我们回顾了人力资源开发(HRD)中常用的定性分析方法。在此之后,我们将更详细地描述主题分析,包括为什么我们认为在初次学习定性分析时要考虑的一种特别有用的分析方法。我们分享进行主题分析的七个常见做法或重要考虑因素,并在进行主题分析时着重强调确保质量的关键考虑因素,以此作为结论。

更新日期:2020-02-09
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