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Социологическое обозрение
Article . 2015 . Peer-reviewed
Data sources: Crossref
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When Methodology Beats Techniques; or, Why We Prefer Discourse and Narrative Analysis to Interpret Textual Data

Authors: Trotsuk I.;

When Methodology Beats Techniques; or, Why We Prefer Discourse and Narrative Analysis to Interpret Textual Data

Abstract

Recently, textual analysis has become quite popular in social sciences in general, and in sociological studies in particular, partly due to the "narrative turn" that emphasizes the textual nature of all social practices and legitimizes their explanations through discourses that constitute social reality and identification models in contemporary society. Though content analysis has long ago proved its methodological and technical relevance to solve sociological questions in providing both qualitative and quantitative data about discursively structured social reality, the modern popularization of textual analysis within sociology is associated with two vague and multifaceted approaches, those of narrative and discourse analysis. The article first outlines the three types of sociological data the researchers have to deal with: formalized data that can be arranged in different matrices and analyzed mathematically; weakly formalized, but still structured and organized data; and non-formalized data that supposes the application of textual analysis. The author then presents her explanation of the current state of affairs in the use of textual analysis in empirical sociological studies, in which narrative and discourse analysis are often positioned as the only possible research methods to be employed despite several decades of the successful application of content analysis. This explanation consists of two parts: the first section includes a number of strict requirements a researcher must follow while conducting content analysis, while the second consists of the attractive advantages of narrative and discourse analysis as determined by their interdisciplinary status, nature, and origin.

Country
Russian Federation
Related Organizations
Keywords

content analysis, narrative analysis, 300, 301, textual analysis, limitations and advantages of method, semi- and non-formalized data, текстовый анализ, текстовые данные, полуи неформализованные данные, контент-анализ, нарративный анализ, дискурс-анализ, ограничения и возможности метода, discourse analysis, textual data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
Green
gold