为提升主题建模研究的严谨性，提出一套可操作的指导原则。
Methodological Rigour in Algorithm Application: An Illustration of Topic Modelling Algorithm
- 基于结构化主题建模算法，给出方法应用的具体指南。
- 强调透明度与流程规范，提升研究可信度。
- 适合初学者、审稿人及关注计算型理论研究的学者。
先进计算算法的兴起为理论构建的计算密集型研究开辟了新路径。然而，这些算法的不透明性以及应用过程中的缺乏透明度和严谨性，带来了方法论挑战，可能削弱研究可信度。当前关于此类研究方法严谨性的讨论尚处于萌芽阶段。本文旨在为方法严谨性提供指导，特别聚焦于主题建模算法的应用。通过展示结构化主题建模算法的实际应用，并提出一组操作指南，探讨如何确保主题建模研究的严谨性。尽管指南针对主题建模算法，但经适当调整后可适用于其他算法。该指南对初次使用主题建模的研究者，以及审稿和编辑处理相关稿件者具有实用价值。本文贡献于主题建模文献，并加入关于计算密集型理论建构研究方法严谨性的新兴对话。
原文摘要 · Abstract (English)
The rise of advanced computational algorithms has opened new avenues for computationally intensive research approaches to theory development. However, the opacity of these algorithms and lack of transparency and rigour in their application pose methodological challenges, potentially undermining trust in research. The discourse on methodological rigour in this new genre of research is still emerging. Against this backdrop, I attempt to offer guidance on methodological rigour, particularly in the context of topic modelling algorithms. By illustrating the application of the structural topic modelling algorithm and presenting a set of guidelines, I discuss how to ensure rigour in topic modelling studies. Although the guidelines are for the application of topic modelling algorithms, they can be applied to other algorithms with context-specific adjustments. The guidelines are helpful, especially for novice researchers applying topic modelling, and editors and reviewers handling topic modelling manuscripts. I contribute to the literature on topic modelling and join the emerging dialogue on methodological rigour in computationally intensive theory construction research.
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