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Analisis Isi Visual Elicitation×Analisis Wacana Multimodal×
BidangKualitatifLinguistik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal2002 (synthesis of photo elicitation with systematic content analysis)1996
PencetusDouglas Harper (photo elicitation); Klaus Krippendorff (content analysis framework)Gunther Kress and Theo Van Leeuwen
TipeQualitative–interpretive hybrid methodEmpirical process pipeline
Sumber perintisHarper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13–26. DOI ↗Kress, G., & Van Leeuwen, T. (2006). Reading Images: The Grammar of Visual Design (2nd ed.). London: Routledge. DOI ↗
Aliasphoto elicitation content analysis, image-elicited content analysis, visual stimulus content analysis, VECAMultimodal Analysis, Semiotic Analysis
Terkait42
RingkasanVisual elicitation content analysis combines the photograph or image-based interview technique known as photo elicitation with the systematic coding procedures of content analysis. Participants are shown selected visual stimuli — photographs, drawings, video stills, or researcher-produced images — and invited to respond verbally. Those verbal responses are then subjected to structured content analysis to identify recurring themes, categories, and patterns across participants, bridging the depth of elicited meaning with the rigor of systematic coding.Multimodal Discourse Analysis is a method for examining how meaning is created through the integration of multiple modes of communication: language, image, sound, gesture, and spatial arrangement. Developed by Gunther Kress, Theo Van Leeuwen, and others, this approach recognizes that in contemporary communication—from videos to websites to classrooms—meaning is rarely conveyed by language alone. By analyzing how text, visuals, sound, and other modes work together, multimodal analysis reveals how complex meanings are constructed.
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ScholarGateBandingkan metode: Visual elicitation content analysis · Multimodal Discourse Analysis. Diakses 2026-06-17 dari https://scholargate.app/id/compare