语篇分析
主题分析
定性研究
定性分析
内容分析
社会学
会话分析
批评性话语分析
对话
计算机科学
认识论
语言学
社会科学
政治学
沟通
哲学
意识形态
政治
法学
作者
Audrey Alejandro,Longxuan Zhao
标识
DOI:10.1177/10778004231184421
摘要
The growing interest in combining different approaches to qualitative text and discourse analysis has so far not been met with adapted methodological resources. This article aims to address this gap by developing a methodological framework for combining qualitative text and discourse analysis. First, we introduce four traditions that we identify as four families of methods of text/discourse analysis with different logics: Discourse Analysis, Foucauldian Discourse Analysis, Thematic Analysis, and Qualitative Content Analysis. Second, we review the literature to show how these methods have been combined across disciplines and case studies. Third, we build upon existing literature to unpack the benefits and challenges of multi-method text/discourse analysis, and offer strategies to help navigate the problems that may arise. Overall, this article introduces multi-method qualitative text and discourse analysis (MMQTDA) as a methodological framework to provide guidance and offer solid foundations for an emerging methodological conversation in qualitative text research.
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