Compara mètodes

	Entrevista semiestructurada multisectorial	Estratègia d'entrevista semiestructurada triangulada
Camp	Metodologia d'enquestes	Metodologia d'enquestes
Família	Process / pipeline	Process / pipeline
Any d'origen	1980s–2000s (multi-source data strategies in qualitative inquiry)	Formalized in practice from the late 1970s onward
Autor original	Established practice in qualitative and mixed-methods research; systematized by Patton (2002) and Bryman (2016)	Synthesized from Norman K. Denzin (triangulation) and H. Russell Bernard (semi-structured interviewing)
Tipus	Qualitative data collection technique	Qualitative data collection technique
Font seminal	Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. ISBN: 978-0198745754	Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill.
Àlies	multi-informant semi-structured interview, multi-perspective semi-structured interview, multi-source qualitative interview, triangulated semi-structured interview	triangulated qualitative interview, multi-source semi-structured interview, triangulated in-depth interview, convergent interview strategy
Relacionats	5	3
Resum	A multi-source semi-structured interview strategy collects qualitative data via guided, open-ended interviews from two or more distinct groups or perspectives relevant to the same phenomenon. By deliberately querying multiple vantage points — such as managers and employees, patients and clinicians, or teachers and students — the researcher can compare, contrast, and triangulate accounts, producing a richer and more balanced picture than any single-source approach allows.	A triangulated semi-structured interview strategy combines the flexibility of open-ended, guided interviewing with deliberate triangulation across multiple informant groups, data sources, or interview occasions. By applying the same semi-structured protocol to different participant perspectives — such as clients, providers, and managers — or by pairing interviews with documents and observations, the approach cross-validates emerging themes and reduces the risk that any single viewpoint dominates the findings. The result is richer, more credible qualitative data than a single-source interview study can deliver.