方法对比

	纵向视觉分析	内容分析	主题分析
领域	质性	质性	质性研究
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	1970s–2000s (consolidated with digital methods in 2000s)	Systematised through Krippendorff's methodology work; 4th edition 2018	2006
提出者	Developed across visual sociology and visual ethnography traditions; key contributions from Gillian Rose, Sarah Pink, and Howard Becker	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research	Virginia Braun and Victoria Clarke
类型	Qualitative longitudinal design	Qualitative / mixed-method research technique	Method
开创性文献	Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943087	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
别名	LVA, longitudinal visual research, temporal visual analysis, repeated visual analysis	İçerik Analizi, systematic content coding, quantitative content analysis	TA, Reflexive Thematic Analysis
相关	3	5	3
摘要	Longitudinal Visual Analysis (LVA) is a qualitative research design that systematically collects, organises, and interprets visual data — photographs, video, maps, or diagrams — gathered at two or more time points to document change, continuity, or transformation in people, places, or social phenomena. By anchoring analysis to the temporal dimension of images, LVA goes beyond what a single-moment visual study can reveal, making visible patterns of development or decay that are otherwise invisible in a snapshot.	Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.