Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Metodo del diario× | Metodo del Diario Longitudinale× | |
|---|---|---|
| Campo | Metodologia delle indagini | Metodologia delle indagini |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1920s–1940s (systematised by Allport, 1942) | 1942 (diary method); longitudinal variant formalised 1980s–2000s |
| Ideatore≠ | Gordon Allport (systematic social-science use); Nels Anderson (early fieldwork diaries) | Allport (1942); systematic longitudinal extension developed by Bolger, Davis & Rafaeli (2003) |
| Tipo≠ | Qualitative / mixed-methods data-collection technique | Longitudinal qualitative/quantitative data collection |
| Fonte seminale≠ | Alaszewski, A. (2006). Using Diaries for Social Research. Sage. ISBN: 978-0761941415 | Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54(1), 579–616. DOI ↗ |
| Alias | diary study, diary technique, self-report diary, daily diary method | diary study (longitudinal), daily diary method, repeated-measures diary, longitudinal self-report diary |
| Correlati≠ | 5 | 3 |
| Sintesi≠ | The diary method is a data-collection technique in which participants record their thoughts, behaviours, events, or experiences in their own words at regular or event-contingent intervals over a defined study period. By capturing data close in time to the event, diaries reduce retrospective recall bias and give researchers access to the texture of everyday life as it unfolds — something one-off surveys and retrospective interviews cannot provide. | The Longitudinal Diary Method is a data collection technique in which participants record experiences, thoughts, feelings, or behaviors in structured diary entries repeatedly over an extended period — from days to months or even years. Unlike a one-shot survey, it tracks within-person change, daily fluctuation, and temporal processes in natural settings, making it especially powerful for studying how phenomena evolve over time. |
| ScholarGateInsieme di dati ↗ |
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