Cookies?
Library Header Image
LSE Research Online LSE Library Services

Multi-method qualitative text and discourse analysis: a methodological framework

Alejandro, Audrey ORCID: 0000-0002-3675-8986 and Zhao, Longxuan (2023) Multi-method qualitative text and discourse analysis: a methodological framework. Qualitative Inquiry. ISSN 1077-8004

[img] Text (Alejandro_multi-method-qualitative-text-and-discourse-analysis--published) - Published Version
Available under License Creative Commons Attribution.

Download (176kB)

Identification Number: 10.1177/10778004231184421

Abstract

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.

Item Type: Article
Official URL: https://journals.sagepub.com/home/qix
Additional Information: © 2023 The Author(s)
Divisions: Methodology
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > Q Science (General)
Date Deposited: 29 Aug 2023 11:39
Last Modified: 20 Dec 2024 00:48
URI: http://eprints.lse.ac.uk/id/eprint/120078

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics