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模拟辅助定量内容分析

模拟辅助定量内容分析(SA-QCA)通过整合计算模拟(通常是蒙特卡洛方法或基于代理的模型),扩展了经典定量内容分析。它用于在分析真实文本语料库之前或同时,验证编码方案、在受控条件下估计编码员信度、测试类别区分度,并评估基于频率的结论的稳健性。该方法保留了定量内容分析系统化、可复制的计数逻辑,同时增加了模拟层,以增强方法学的严谨性。

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模拟辅助定量内容分析
蒙特卡洛模拟定量内容分析

来源

  1. Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919964
  2. Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage Publications. ISBN: 978-1506395661

如何引用本页

ScholarGate. (2026, June 3). Simulation-Assisted Quantitative Content Analysis. ScholarGate. https://scholargate.app/zh/research-design/simulation-assisted-quantitative-content-analysis

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ScholarGateSimulation-assisted quantitative content analysis (Simulation-Assisted Quantitative Content Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/research-design/simulation-assisted-quantitative-content-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026