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纵向定量内容分析×趋势研究×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份1950s onward; longitudinal application widely adopted in media research by the 1970s–1980sMid-20th century (formalised in social science methodology ~1950s–1960s)
提出者Developed within communication and media studies; codified by Berelson (1952) and extended by Riffe, Lacy, FicoEarl Babbie and survey research tradition
类型Quantitative observational research designQuantitative longitudinal research design
开创性文献Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
别名longitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCAtrend study, trend survey, longitudinal trend study, time-series survey
相关54
摘要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.Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs.
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ScholarGate方法对比: Longitudinal Quantitative Content Analysis · Trend Research. 于 2026-06-18 检索自 https://scholargate.app/zh/compare