Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Entrevista semiestructurada multisource× | Entrevista longitudinal semiestructurada× | |
|---|---|---|
| Campo | Metodología de encuestas | Metodología de encuestas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1980s–2000s (multi-source data strategies in qualitative inquiry) | 1990s–2000s (as explicit methodology) |
| Autor original≠ | Established practice in qualitative and mixed-methods research; systematized by Patton (2002) and Bryman (2016) | Rooted in longitudinal qualitative research traditions; systematised by Johnny Saldana and Rachel Thomson & Janet Holland |
| Tipo≠ | Qualitative data collection technique | Qualitative longitudinal data collection technique |
| Fuente seminal≠ | Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. ISBN: 978-0198745754 | Saldana, J. (2003). Longitudinal Qualitative Research: Analyzing Change Through Time. AltaMira Press. ISBN: 978-0759100480 |
| Alias | multi-informant semi-structured interview, multi-perspective semi-structured interview, multi-source qualitative interview, triangulated semi-structured interview | LSI, repeated semi-structured interview, panel qualitative interview, longitudinal qualitative interview |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | 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 longitudinal semi-structured interview study collects open-ended, guided interview data from the same participants across multiple time points. By returning to the same individuals — weeks, months, or years apart — researchers can trace how experiences, perceptions, and meanings change over time. The approach blends the flexibility of qualitative inquiry with the temporal depth that is impossible in a one-shot design, making it a cornerstone method in qualitative longitudinal research. |
| ScholarGateConjunto de datos ↗ |
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