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Qualitative data analysis is the classification and interpretation of linguistic (or visual) material to make statements about implicit and explicit dimensions and structures of meaning-making in the material and what is represented in it. Meaning-making can refer to subjective or social meanings. Qualitative data analysis also is applied to ...
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Feb 9, 2020 · Thus, to capture a snapshot of the current state of qualitative research and qualitative data analysis practices in HRD, we conducted a review of Human Resource Development Quarterly (HRDQ) between 1990 and the current issue (Volume 33, Issue 3) in 2019 and identified 59 qualitative articles. The types of qualitative research included: 24 case ...
- Jessica Nina Lester, Yonjoo Cho, Chad R. Lochmiller
- 2020
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- Conducting a Thematic Analysis
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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...
Qualitative data analysis is generally described as a nonlinear, iterative process. Thus, it is common for researchers not to list out a stepwise analytic process. We suggest, however, that it is quite useful to think about the process in relation to phases—which are certainly often overlapping. These phases can be pursued in a systematic way, whil...
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
The author(s) received no financial support for the research, authorship, and/or publication of this article.
- Jessica Nina Lester, Yonjoo Cho, Chad R. Lochmiller
- 2020
- Content Analysis. Content analysis is a methodical technique for analyzing textual or visual data in a structured manner. In this method, you will categorize qualitative data by splitting it into manageable pieces and assigning the manual coding process to these units.
- Thematic Analysis. Thematic analysis is a well-structured procedure for identifying and analyzing recurring themes in your data. As you become more engaged in the data, you’ll generate codes or short labels representing key concepts.
- Narrative Analysis. The narrative analysis involves the narratives that people share. You’ll investigate the histories in your data, looking at how stories are created and the meanings they express.
- Grounded Theory Analysis. Grounded theory analysis is an iterative and systematic approach that allows you to create theories directly from data without being limited by pre-existing hypotheses.
May 27, 2020 · Abstract. This paper aims to provide an overview of the use and assessment of qualitative research methods in the health sciences. Qualitative research can be defined as the study of the nature of phenomena and is especially appropriate for answering questions of why something is (not) observed, assessing complex multi-component interventions ...
- Loraine Busetto, Wolfgang Wick, Wolfgang Wick, Christoph Gumbinger
- 10.1186/s42466-020-00059-z
- 2020
- Neurol Res Pract. 2020; 2: 14.
Sep 2, 2020 · This chapter provides an overview of selected qualitative data analysis strategies with a particular focus on codes and coding. Preparatory strategies for a qualitative research study and data management are first outlined. Six coding methods are then profiled using comparable interview data: process coding, in vivo coding, descriptive coding ...
Jul 7, 2017 · Many qualitative researchers suggest the use of software such as NVivo to carry out a thorough, transparent and more reliable qualitative data analysis to add rigour to qualitative research (e.g. Myers 2009). Using a computerised database helps to manage large amounts of data (Baxter and Jack 2008). Using a database improved the reliability of ...
