เปรียบเทียบวิธี

	การวิเคราะห์เอกสาร	NVivo และ ATLAS.ti สำหรับการวิเคราะห์เชิงคุณภาพ
สาขาวิชา	การวิจัยเชิงคุณภาพ	การวิจัยเชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1920	1999
ผู้ริเริ่ม	Max Weber and Karl Mannheim	QSR International (NVivo) and Scientific Software-Citational (ATLAS.ti)
ประเภท	Method	Tool
แหล่งต้นตำรับ	Scott, J. (1990). A Matter of Record: Documentary Sources in Social Research. Polity Press. ISBN: 978-0745608419	Lewins, A., & Silver, C. (2007). Using Software in Qualitative Research: A Step-by-Step Guide. SAGE Publications. ISBN: 978-1412903653
ชื่อเรียกอื่น	documentary analysis, textual analysis, content analysis of documents, archival research	CAQDAS, QDA software, qualitative analysis software, NVivo
ที่เกี่ยวข้อง	4	4
สรุป	Document analysis is a systematic qualitative research method for examining written, visual, or audiovisual sources—such as policy documents, historical records, organizational records, media reports, emails, social media posts, photographs, or videos—to extract meaning, identify patterns, and understand social phenomena. Developed by Weber and Mannheim in early 20th-century sociology, the method bridges historical research, content analysis, and textual interpretation. Document analysis is used across disciplines to understand organizational change, policy evolution, media representation, historical events, and cultural meaning. Documents provide evidence of what organizations, institutions, or societies value, decide, and communicate, often revealing contradictions between policy and practice.	NVivo and ATLAS.ti are Computer-Assisted Qualitative Data Analysis Software (CAQDAS) programs that facilitate coding, organizing, and analyzing qualitative data—including text (transcripts, documents), images, video, and audio. NVivo, developed by QSR International, is widely used in academic research and supports data organization, coding, memo-writing, retrieval, and analysis visualizations. ATLAS.ti, developed by Scientific Software-Citational, emphasizes hermeneutic interpretation and network visualization. Both tools were introduced in the late 1990s and have become standard across disciplines. CAQDAS is not analysis itself—the researcher must make analytical decisions—but rather augments human analysis by managing large data volumes, organizing codes systematically, tracking analysis decisions, and generating visualizations. These tools improve transparency and rigor in qualitative research.