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稳健定量内容分析

稳健定量内容分析是一种系统性的方法,用于对传播内容(文本、图像或媒体)的显性或隐性特征进行编码和计数,同时应用对异常值、偏态分布和编码不一致具有抵抗力的统计估计量。通过将经典内容分析的结构化编码协议与稳健的统计测量相结合,它产生的频率和关联估计量在数据违反正态性假设或包含极端值时失真较小。

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来源

  1. Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773
  2. Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage Publications. ISBN: 978-0761915454

如何引用本页

ScholarGate. (2026, June 3). Robust Quantitative Content Analysis. ScholarGate. https://scholargate.app/zh/research-design/robust-quantitative-content-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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