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基于面板的定量内容分析×纵向定量内容分析×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份1950s–1980s (formalized in communication research)1950s onward; longitudinal application widely adopted in media research by the 1970s–1980s
提出者Synthesized from Berelson's content analysis tradition and panel study methodologyDeveloped within communication and media studies; codified by Berelson (1952) and extended by Riffe, Lacy, Fico
类型Longitudinal observational designQuantitative observational research design
开创性文献Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536
别名longitudinal content analysis, repeated-measures content analysis, panel content analysis, tracking content analysislongitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCA
相关55
摘要Panel-based quantitative content analysis applies systematic, numeric coding of media or textual content to the same fixed panel of sources at multiple time points. By holding the source panel constant while measurements repeat over time, researchers can track genuine change in content patterns rather than confounding source variation with temporal change. It is widely used in communication, media studies, and political science to monitor how coverage, framing, or topic salience evolves.Longitudinal quantitative content analysis systematically codes and counts features of texts, images, or media messages gathered at two or more points in time, enabling researchers to track how content changes, how themes rise or fall in prevalence, and how media or institutional messaging responds to external events. The design merges the structured measurement logic of quantitative content analysis with the temporal tracking power of longitudinal observation.
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ScholarGate方法对比: Panel-based quantitative content analysis · Longitudinal Quantitative Content Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare