方法对比

	顺序混合方法矩阵	内容分析	主题分析
领域	研究设计	质性	质性研究
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	2003–2015	Systematised through Krippendorff's methodology work; 4th edition 2018	2006
提出者	John W. Creswell & Vicki L. Plano Clark (systematized); Timothy Guetterman et al. (joint display formalization)	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research	Virginia Braun and Victoria Clarke
类型	Mixed methods integration and visualization tool	Qualitative / mixed-method research technique	Method
开创性文献	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483358468	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	mixed methods joint display matrix, sequential explanatory matrix, sequential exploratory matrix, mixed methods integration matrix	İçerik Analizi, systematic content coding, quantitative content analysis	TA, Reflexive Thematic Analysis
相关	2	5	3
摘要	The sequential mixed methods matrix is an integration tool used in sequential mixed methods designs — explanatory (QUAN → qual) or exploratory (qual → QUAN) — to display and synthesize quantitative results and qualitative findings side-by-side in a structured table. Also called a joint display matrix, it makes the process of connecting the two strands of evidence explicit, transparent, and auditable, helping researchers draw meta-inferences that neither strand alone could support.	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.