เปรียบเทียบวิธี

	การวิเคราะห์เอกสารเชิงเวลา	การวิเคราะห์เนื้อหาตามช่วงเวลา
สาขาวิชา	เชิงคุณภาพ	เชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2003–2009 (formalized in qualitative research methodology)	Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)
ผู้ริเริ่ม	Glenn A. Bowen (document analysis framework); Johnny Saldaña (longitudinal qualitative methods)	Developed within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science research
ประเภท	Qualitative longitudinal research design	Qualitative and mixed-methods research design
แหล่งต้นตำรับ	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
ชื่อเรียกอื่น	longitudinal documentary research, longitudinal archival analysis, repeated document analysis, LDA	LCA, repeated content analysis, diachronic content analysis, trend content analysis
ที่เกี่ยวข้อง	3	5
สรุป	Longitudinal document analysis is a qualitative research approach that systematically collects and analyzes documents at multiple time points to trace how phenomena, discourses, policies, or organizational practices change over time. By treating documents as primary data sources rather than supplementary evidence, researchers can reconstruct temporal trajectories, identify turning points, and understand how meaning evolves across extended periods without requiring direct participant contact.	Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences.