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| 삼각 검증 문서 수집× | 삼각검증 구조화 면담× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1978 (triangulation); 2009 (document analysis as method) | 1978 (Denzin's triangulation framework); structured interviews in use from early 20th century |
| 창시자≠ | Norman K. Denzin (triangulation principle); Glenn Bowen (document analysis formalization) | Norman K. Denzin (triangulation framework); structured interview tradition predates |
| 유형≠ | Qualitative/mixed-methods data collection strategy | Triangulated quantitative/qualitative data collection technique |
| 원전 | Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗ | Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗ |
| 별칭≠ | documentary triangulation, multi-source document collection, cross-source document analysis, data triangulation via documents | triangulated standardized interview, multi-source structured interview, cross-validated structured interview |
| 관련≠ | 4 | 3 |
| 요약≠ | Triangulated 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. | A triangulated structured interview applies the triangulation principle — using multiple independent sources, methods, or perspectives to cross-validate findings — to the structured interview format. The researcher administers the same fixed set of questions across different respondent groups, time points, or complementary data sources, then systematically compares the results to confirm, qualify, or explain discrepancies. This strengthens confidence in the accuracy of the data beyond what any single structured interview session could provide. |
| ScholarGate데이터셋 ↗ |
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