เปรียบเทียบวิธี

	การวิเคราะห์เนื้อหาเชิงปริมาณแบบเปรียบเทียบ	การวิเคราะห์เนื้อหาเชิงปริมาณตามช่วงเวลา
สาขาวิชา	การออกแบบการวิจัย	การออกแบบการวิจัย
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1952 (Berelson); comparative extensions prominent from 1980s onward	1950s onward; longitudinal application widely adopted in media research by the 1970s–1980s
ผู้ริเริ่ม	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
ประเภท	Quantitative observational research design	Quantitative observational research design
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	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
ที่เกี่ยวข้อง	5	5
สรุป	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.