ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

比较定量内容分析×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1952 (Berelson); comparative extensions prominent from 1980s onward1950s onward; longitudinal application widely adopted in media research by the 1970s–1980s
提出者Bernard Berelson (quantitative content analysis); Kimberly Neuendorf (codebook systematization); Hallin & Mancini (comparative media application)Developed within communication and media studies; codified by Berelson (1952) and extended by Riffe, Lacy, Fico
类型Quantitative observational research designQuantitative observational research design
开创性文献Berelson, B. (1952). Content Analysis in Communication Research. Free Press. link ↗Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536
别名CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysislongitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCA
相关55
摘要Comparative quantitative content analysis is a systematic, replicable method for counting and categorizing features of communication content — such as news coverage, social media posts, or policy documents — across two or more groups, time periods, outlets, or countries. By applying a standardized codebook to each comparison context, it reveals patterns of similarity and difference in how topics, frames, actors, or sentiments are represented, and allows statistical testing of those differences.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Comparative Quantitative Content Analysis · Longitudinal Quantitative Content Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare