The Explanatory Power of Discourse Analysis

Pub Date : 2024-05-20 DOI:10.1177/00483931241255229
Corrado Matta
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Abstract

This paper discusses the explanatory power of discourse analysis, an approach to typically considered one of the main qualitative methods for data analysis. Although discourse analysis is typically not used to develop explanatory models, some have claimed that discourse models can causally explain social phenomena, such as institutional change. I analyze a case of institutional change to discuss and provide arguments for two claims. First, discourse analysis cannot generate causal explanations of social phenomena. Secondly, discourse analysis can generate non-causal explanations, specifically constitutive explanations of social phenomena. I conclude the paper by discussing possible implications for social research.
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话语分析的解释力
本文讨论了话语分析的解释力,这种方法通常被认为是数据分析的主要定性方法之一。虽然话语分析通常不用于开发解释性模型,但有些人声称话语模型可以因果性地解释社会现象,如制度变迁。我分析了一个制度变迁的案例,对两种说法进行讨论并提供论据。首先,话语分析不能对社会现象做出因果解释。其次,话语分析可以产生非因果解释,特别是对社会现象的构成性解释。最后,我讨论了本文对社会研究的可能影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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