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Recopilación triangulada de documentos×Análisis de contenido×
CampoMetodología de encuestasCualitativa
FamiliaProcess / pipelineProcess / pipeline
Año de origen1978 (triangulation); 2009 (document analysis as method)Systematised through Krippendorff's methodology work; 4th edition 2018
Autor originalNorman K. Denzin (triangulation principle); Glenn Bowen (document analysis formalization)Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research
TipoQualitative/mixed-methods data collection strategyQualitative / mixed-method research technique
Fuente seminalDenzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Aliasdocumentary triangulation, multi-source document collection, cross-source document analysis, data triangulation via documentsİçerik Analizi, systematic content coding, quantitative content analysis
Relacionados45
ResumenTriangulated document collection is a qualitative data collection strategy in which documents from multiple independent sources are gathered and cross-checked against one another. By drawing on different document types — such as official records, personal archives, institutional reports, and media artifacts — the researcher reduces reliance on any single source and strengthens the credibility of the evidence base. The approach applies Denzin's data triangulation principle directly to documentary material.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.
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ScholarGateComparar métodos: Triangulated Document Collection · Content Analysis. Recuperado el 2026-06-17 de https://scholargate.app/es/compare