Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Интервю в дълбочина с множество източници× | Триангулирано задълбочено интервю× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1980s–1990s (formalized in qualitative inquiry literature) | 1978 (triangulation framework); in-depth interviewing ~1950s onward |
| Създател≠ | Grounded in qualitative traditions consolidated by Patton, Lincoln & Guba, and others | Norman K. Denzin (triangulation framework); in-depth interviewing practice is longstanding in qualitative research |
| Тип≠ | Qualitative data collection technique | Qualitative data collection approach |
| Основополагащ източник≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗ |
| Други названия | multi-informant in-depth interview, multi-perspective qualitative interview, multiple-source IDI, multi-stakeholder in-depth interview | triangulated IDI, multi-source in-depth interview, triangulated qualitative interview, converging in-depth interview |
| Свързани≠ | 5 | 4 |
| Резюме≠ | The multi-source in-depth interview is a qualitative data collection strategy in which extended, open-ended interviews are conducted with participants drawn from two or more distinct source groups — such as providers and clients, managers and staff, or experts and laypeople. Collecting data across diverse informant positions enriches description and enables the researcher to examine a phenomenon from multiple vantage points within a single study. | Triangulated in-depth interviewing applies Denzin's triangulation logic to the in-depth interview method by deliberately combining multiple sources of convergent evidence — different informants, interviewers, time points, or corroborating data types — to strengthen confidence in qualitative findings. Rather than relying on a single interview account, the researcher gathers rich, open-ended accounts from several vantage points and cross-checks them for consistency and divergence, treating agreement as corroboration and disagreement as analytically meaningful. |
| ScholarGateНабор от данни ↗ |
|
|