เปรียบเทียบวิธี

	การวิเคราะห์เนื้อหาเชิงคุณภาพเชิงเปรียบเทียบ	การวิเคราะห์วาทกรรมเชิงเปรียบเทียบ
สาขาวิชา	เชิงคุณภาพ	เชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1983 (Mayring's QCA foundation); comparative adaptations prominent from 2000s onward	1980s–1990s (established as comparative practice through the 1990s)
ผู้ริเริ่ม	Philipp Mayring (qualitative content analysis); comparative application developed across communication, policy, and social science research	Norman Fairclough; Ruth Wodak; Teun A. van Dijk
ประเภท	Qualitative research design and analysis strategy	Qualitative comparative research approach
แหล่งต้นตำรับ	Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029201	Fairclough, N. (1995). Critical Discourse Analysis: The Critical Study of Language. Longman. ISBN: 978-0582219526
ชื่อเรียกอื่น	comparative QCA, cross-case qualitative content analysis, multi-context qualitative content analysis, comparative interpretive content analysis	CDA comparative, cross-context discourse analysis, comparative text analysis, multi-site discourse analysis
ที่เกี่ยวข้อง	4	5
สรุป	Comparative qualitative content analysis (comparative QCA) applies a systematic, category-driven reading of texts or documents across two or more cases, groups, time periods, or cultural contexts, with the explicit goal of identifying similarities, differences, and patterns that emerge from the comparison. It combines the interpretive rigour of qualitative content analysis with a structured comparative logic, making it valuable for cross-national policy research, media studies, and any inquiry that requires principled comparison of meaning across contexts.	Comparative discourse analysis examines how language constructs meaning, identity, and power by systematically contrasting texts or speech acts drawn from at least two distinct contexts, groups, time periods, or institutions. By holding analytical categories constant across cases, it reveals how discursive patterns diverge or converge, producing insights that single-context discourse analysis cannot generate.