So sánh phương pháp

	Phân tích nội dung định lượng so sánh	Phân tích nội dung định lượng theo chiều dọc
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1952 (Berelson); comparative extensions prominent from 1980s onward	1950s onward; longitudinal application widely adopted in media research by the 1970s–1980s
Người khởi xướng	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
Loại	Quantitative observational research design	Quantitative observational research design
Công trình gốc	Berelson, B. (1952). Content Analysis in Communication Research. Free Press.	Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536
Tên gọi khác	CQCA, cross-national content analysis, comparative media content analysis, systematic comparative content analysis	longitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCA
Liên quan	5	5
Tóm tắt	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.