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Theme in Qualitative Content Analysis and Thematic Analysis

Der Themenbegriff in der qualitativen Inhaltsanalyse und der thematischen Analyse
[journal article]

Vaismoradi, Mojtaba
Snelgrove, Sherrill

Abstract

Qualitative design consists of various approaches towards data collection, which researchers can use to help with the provision of both cultural and contextual description and interpretation of social phenomena. Qualitative content analysis (QCA) and thematic analysis (TA) as qualitative research ap... view more

Qualitative design consists of various approaches towards data collection, which researchers can use to help with the provision of both cultural and contextual description and interpretation of social phenomena. Qualitative content analysis (QCA) and thematic analysis (TA) as qualitative research approaches are commonly used by researchers across disciplines. There is a gap in the international literature regarding differences between QCA and TA in terms of the concept of a theme and how it is developed. Therefore, in this discussion paper we address this gap in knowledge and present differences and similarities between these qualitative research approaches in terms of the theme as the final product of data analysis. We drew on current multidisciplinary literature to support our perspectives and to develop internationally informed analytical notions of the theme in QCA and TA. We anticipate that improving knowledge and understanding of theme development in QCA and TA will support other researchers in selecting the most appropriate qualitative approach to answer their study question, provide high-quality and trustworthy findings, and remain faithful to the analytical requirements of QCA and TA.... view less


Qualitatives Design besteht aus verschiedenen Ansätzen zur Datenerhebung und -analyse, die insbesondere für die Erstellung kultureller und kontextueller Beschreibungen und die Interpretation sozialer Phänomene anwendbar sind. Qualitative Inhaltsanalyse (QCA) und thematische Analyse (TA) stellen beid... view more

Qualitatives Design besteht aus verschiedenen Ansätzen zur Datenerhebung und -analyse, die insbesondere für die Erstellung kultureller und kontextueller Beschreibungen und die Interpretation sozialer Phänomene anwendbar sind. Qualitative Inhaltsanalyse (QCA) und thematische Analyse (TA) stellen beides qualitative Ansätze dar, die üblicherweise von Forscher_innen aus unterschiedlichen Disziplinen gleichermaßen eingesetzt werden. Allerdings besteht in der internationalen Literatur eine Leerstelle in Bezug auf den Begriff von "Thema" in beiden Ansätzen und des Prozesses der Entwicklung von Themen. Daher gehen wir in unserem Beitrag auf diese Leerstelle ein und stellen Unterschiede und Ähnlichkeiten zwischen beiden Methoden in Bezug auf das "Thema" als Endprodukt der Datenanalyse dar. Zur Unterstützung unserer Sichtweisen und zur Erstellung international fundierter analytischer Begriffe von "Thema" greifen wir auf die aktuelle Literatur aus unterschiedlichen Disziplinen zurück. Wir gehen davon aus, dass Forscher_innen von einem vertieften Verständnis des Prozesses der Themenentwicklung in mehreren Hinsichten profitieren, nämlich bei der Auswahl einer geeigneten Methode für die Beantwortung ihrer Forschungsfrage, bei der Erzielung qualitativ hochwertiger und valider Ergebnisse sowie dabei, den analytischen Anforderungen an QCA und TA gerecht zu werden.... view less

Keywords
content analysis; qualitative method; data; analysis

Classification
Research Design
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Thema; qualitative Forschung; qualitative research; thematic analysis; thematische Analyse; theme

Document language
English

Publication Year
2019

Journal
Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 20 (2019) 3

Issue topic
Qualitative Content Analysis I

DOI
https://doi.org/10.17169/fqs-20.3.3376

ISSN
1438-5627

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.