摘要
社会科学具有极强的方法多样性。从方法比较的角度来看,质性研究的传统优势在于自然性、开放性、理解性三个方面。但因为个案整体性的增强,新的分析技术演进,以及大数据研究的兴起,质性研究在经验事实、分析技术、方法范式三个方面面临困境。困境也在促成质性研究的演进,新的分析技术、方法规范在逐步产生。在分析内容层面,多个案饱和式调研、多维度资料、社会总体机制解释是重要的发展导向。在分析技术层面,话语和文本的多元分析能力是质性研究的发展方向,能够更大规模处理资料。在分析范式层面,未来的质性研究可以借助量化研究和大数据研究,在个案信息拓展、解释机制提炼和解释机制验证多个方面提升研究能力。
The social sciences demonstrate significant methodological diversity.From a comparative perspective,qualitative research has traditionally held advantages in three areas:naturalistic inquiry,open-ended exploration,and interpretative understanding.However,challenges have emerged for qualitative methods in three key dimensions:empirical validity,analytical techniques,and methodological paradigms.These challenges stem from advancements in holistic case analysis,evolving analytical technologies,and the rise of big data research.These pressures are driving innovation in qualitative research.In terms of analytical content,critical developments include multi-case saturation studies,integration of multidimensional data,and explanations of broad social mechanisms.For analytical techniques,enhancing discourse/text analysis capabilities and scaling qualitative data processing are key priorities.Methodologically,qualitative research is increasingly integrating with quantitative and big data approaches to expand case information systems,refine explanatory frameworks,and strengthen validation processes.This evolution aims to enhance rigor while preserving qualitative research’s core strengths in contextual depth.
出处
《学术月刊》
北大核心
2025年第4期127-137,共11页
Academic Monthly
关键词
质性研究
整体性个案
计算社会科学
大数据研究
qualitative research
holistic case study
computational social science
big data research
