Cortex：内容分析支持软件，一种质性研究资源
Cortex: Content Analysis Support Software, a Resource for Qualitative Research
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中文总结 AI 辅助
本研究开发了基于Bardin方法论的Cortex网络应用，支持质性研究中的内容分析，通过生成可追溯的索引和类别建议，辅助研究人员完成从语料库配置到结果导出的全流程，同时保留研究者的解释自主性。
中文摘要 AI 辅助
质性研究在人文和社会科学中被广泛使用，其特点是通过对意义和背景的解读来深入理解现象。在质性数据分析方法中，内容分析作为一种成熟的技术脱颖而出，它允许对文本内容进行系统性的描述和解释。然而，随着数据量的增加，组织、阅读和分类所需的时间成为一项重大挑战，可能延迟研究进展。因此，本工作旨在开发一个基于Bardin方法论的网络应用程序，以支持内容分析，面向学术研究人员。该方法采用了混合方法，将内容分析的文献研究与对四位经验丰富的研究人员的半结构化访谈相结合，旨在识别真实需求和需求规格。基于这些输入，开发了Cortex软件，以协助研究人员进行预分析和材料探索阶段，生成索引、指标和类别的建议，并完全可追溯到原始文档。结果表明，Cortex能够引导研究人员完成整个方法论工作流程，从语料库配置到结果导出，作为方法论的协作者，而不取代研究者的解释自主性。
英文摘要
Qualitative research is widely used in the human and social sciences, characterized by a deep understanding of phenomena through the interpretation of meanings and contexts. Among qualitative data analysis methods, content analysis stands out as a consolidated technique, which allows for the systematic description and interpretation of textual contents. However, as data volume increases, the time required for organization, reading, and categorization becomes a significant challenge, potentially delaying research development. Therefore, this work aimed to develop a web application to support content analysis, based on Bardin's methodology, targeted at academic researchers. The methodology adopted a mixed approach, combining bibliographic research on content analysis with semi-structured interviews with four experienced researchers, aiming to identify real needs and requirements. Based on these inputs, the Cortex software was developed to assist the researcher in the pre-analysis and material exploration stages, generating suggestions for indices, indicators, and categories with full traceability to original documents. The results demonstrate that Cortex is capable of guiding the researcher through the entire methodological workflow, from corpus configuration to results exportation, acting as a methodological collaborator without replacing the researcher's interpretative autonomy.
发表机构
- Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS)（南里奥格兰德州联邦教育、科学与技术学院（IFRS））
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