手法を比較

	視覚的誘発 Straussian グラウンデッド・セオリー	ビジュアル分析
分野	質的手法	質的手法
系統	Process / pipeline	Process / pipeline
提唱年	1990s–2000s (Strauss & Corbin 1990; visual integration developed through 2000s)	Formalized in social sciences from the 1980s–2000s
提唱者	Anselm Strauss & Juliet Corbin (Straussian GT); Douglas Harper and Jon Wagner (visual elicitation integration)	Roots in art history and semiotics (Panofsky, Barthes); social science applications developed by Gillian Rose and Marcus Banks
種類	Qualitative research design — visual data grounded theory variant	Qualitative research approach
原典	Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408	Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943056
別名	photo elicitation grounded theory, visual data grounded theory, Strauss-Corbin visual grounded theory, image-based Straussian GT	visual research methods, image analysis, visual inquiry, visual data analysis
関連	4	6
概要	Visual elicitation Straussian grounded theory is a qualitative research design that combines the systematic coding procedures of Strauss and Corbin's grounded theory with visual elicitation — using photographs, participant-produced images, or visual artefacts as interview stimuli to generate richer conceptual data. The approach leverages the power of images to unlock tacit knowledge and produces a substantive theory grounded in both verbal accounts and visual meaning-making.	Visual analysis is a qualitative research approach that systematically examines visual materials — such as photographs, films, artworks, advertisements, and diagrams — to understand how meaning is produced, communicated, and interpreted. Drawing on traditions from art history, semiotics, and social science, it treats visual objects as data that carry social, cultural, and ideological significance. Multiple frameworks exist, from formal compositional analysis to discourse-based and audience-reception approaches.