Vertaile menetelmiä
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| Pitkittäisfenomenologia – Pitkittäisfenomenologinen tutkimus× | Pitkittäinen laadullinen sisällönanalyysi× | |
|---|---|---|
| Tieteenala | Laadulliset menetelmät | Laadulliset menetelmät |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000s (formalised as a distinct design) | 2000s–2010s |
| Kehittäjä≠ | Draws on Husserl and Heidegger's phenomenological tradition; longitudinal application developed in qualitative research (Saldana, Thomson et al., early 2000s) | Philipp Mayring (foundational QCA); longitudinal extension developed across qualitative health and social research traditions |
| Tyyppi≠ | Qualitative longitudinal research design | Qualitative analytical method |
| Alkuperäislähde≠ | Saldana, J. (2003). Longitudinal Qualitative Research: Analyzing Change through Time. AltaMira Press. ISBN: 978-0759103917 | Mayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), Art. 20. link ↗ |
| Rinnakkaisnimet | longitudinal phenomenological inquiry, temporal phenomenology, repeated-interview phenomenology, longitudinal lived-experience research | LQCA, longitudinal QCA, repeated qualitative content analysis, panel qualitative content analysis |
| Liittyvät≠ | 6 | 3 |
| Tiivistelmä≠ | Longitudinal phenomenology applies phenomenological inquiry across two or more time points to capture how participants' lived experience of a phenomenon changes, deepens, or transforms over time. Rooted in the phenomenological tradition of Husserl and Heidegger, it adds an explicit temporal dimension — asking not only what an experience is like, but how it evolves. It is used where a single-point interview would miss the processual, shifting nature of lived meaning. | Longitudinal qualitative content analysis (LQCA) applies systematic content analysis to text data gathered from the same participants, settings, or documents at two or more points in time. The method preserves the interpretive rigour of qualitative content analysis while adding an explicit temporal dimension, enabling researchers to track how meanings, experiences, categories, or discourse shift, deepen, or stabilise across time rather than producing a single-point-in-time description. |
| ScholarGateAineisto ↗ |
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