Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Metodo del diario online× | Campionamento dell'Esperienza Mobile× | |
|---|---|---|
| Campo | Metodologia delle indagini | Metodologia delle indagini |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2000s (online adaptation); diary method roots in social research circa 1970s–1990s | 1983 |
| Ideatore≠ | Adaptation of the traditional diary method; Bolger, Davis & Rafaeli (2003) systematized the daily diary design; online delivery emerged through web survey tools in the early 2000s | Mihaly Csikszentmihalyi & Reed Larson |
| Tipo≠ | Longitudinal self-report data collection technique | Intensive longitudinal data collection technique |
| Fonte seminale≠ | Alaszewski, A. (2006). Using Diaries for Social Research. Sage Publications. ISBN: 978-0761942764 | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| Alias | e-diary method, digital diary study, web-based diary method, online daily diary study | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Correlati | 5 | 5 |
| Sintesi≠ | The online diary method is a longitudinal data collection technique in which participants record their thoughts, experiences, behaviors, or events in structured or semi-structured entries submitted via digital platforms — such as web forms, email, or dedicated apps — at regular or event-contingent intervals. It combines the ecological validity of traditional diary research with the logistical advantages of remote, automated data collection. | Mobile Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life. |
| ScholarGateInsieme di dati ↗ |
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