Whats and Hows? The Practice-Based Typology of Narrative Analyses

Author:

Bryda GrzegorzORCID

Abstract

The nature of qualitative research practices is multiparadigmaticity which creates coexistence of different research and analytical approaches to the study of human experience in the living world. This diversity is particularly observed in the contemporary field of narrative research and data analysis. The purpose of this article is a methodological reflection on the process of developing typology and a proposition of new data-driven and practice-based typology of narrative analyses used by qualitative researchers in the lived experience research. I merge the CAQDAS, Corpus Linguistics, and Text Mining procedures to examine the analytical strategies inherited in a vivid language of English-language research articles, published in five influential qualitative methodological journals between 2002-2016. Using the dictionary-based content analysis in the coding process, hierarchical clustering, and topic modeling – a text-mining tool for discovering hidden semantic structures in a textual body – I confront Catherine Kohler Riessman’s heuristic typology with the data-driven approach in order to contribute the more coherent image of narrative analysis in the contemporary field of qualitative research. Finally, I propose a new model of thinking about the typology of narrative analyses based upon research practices.

Publisher

Uniwersytet Lodzki (University of Lodz)

Subject

General Economics, Econometrics and Finance

Reference62 articles.

1. Andrews, Molly et al. 2004. “Narrative research.” Pp. 98-113 in Qualitative Research Practice, edited by C. Seale et al. London: Sage Publications.

2. Berelson, Bernard. 1952. Content analysis in communication research. Glencoe: Free Press.

3. Bernard, Russell H. and Gerry W. Ryan. 2010. “Content analysis.” Pp. 287-310 in Analyzing Qualitative Data: Systematic Approaches, edited by B. Russell and G. Ryan. Los Angeles: Sage Publications.

4. Berry, Michael W. 2004. Survey of Text Mining: Clustering, Classification, and Retrieval. New York: Springer.

5. Bong, Sharon A. 2002. “Debunking Myths in Qualitative Data Analysis.”Forum Qualitative Sozialforschung 3(2). Retrieved May 5, 2020 https://www.qualitative-research.net/index.php/fqs/article/view/849

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3