השוואת שיטות

	ניתוח תוכן איכותני השוואתי	מחקר נרטיבי השוואתי
תחום	איכותני	איכותני
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1983 (Mayring's QCA foundation); comparative adaptations prominent from 2000s onward	1990s–2000s
הוגה השיטה	Philipp Mayring (qualitative content analysis); comparative application developed across communication, policy, and social science research	D. Jean Clandinin & F. Michael Connelly (narrative inquiry); comparative extension by the broader qualitative comparative tradition
סוג	Qualitative research design and analysis strategy	Qualitative comparative research design
מקור מכונן	Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029201	Clandinin, D. J., & Connelly, F. M. (2000). Narrative Inquiry: Experience and Story in Qualitative Research. Jossey-Bass. ISBN: 978-0787943523
כינויים	comparative QCA, cross-case qualitative content analysis, multi-context qualitative content analysis, comparative interpretive content analysis	comparative narrative inquiry, cross-case narrative research, narrative comparison, comparative narrative analysis
קשורות	4	6
תקציר	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 narrative research is a qualitative design that collects personal stories or life accounts from two or more participants, groups, or contexts and systematically compares them to reveal patterns, contrasts, and contextual influences. Drawing on narrative inquiry's attention to experience-as-story, it adds a deliberate comparative logic to identify what is shared, what diverges, and why differences emerge across cases.