Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Vidokezo vya Uga vya Simu× | Uzoefu wa Simu ya Mkononi× | |
|---|---|---|
| Nyanja | Metodolojia ya Dodoso | Metodolojia ya Dodoso |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2000s–2010s (digital turn in ethnography) | 1983 |
| Mwanzilishi≠ | Emergent from digital ethnography practice; theorised notably by Sarah Pink and colleagues | Mihaly Csikszentmihalyi & Reed Larson |
| Aina≠ | Qualitative data collection technique | Intensive longitudinal data collection technique |
| Chanzo asilia≠ | Pink, S., Horst, H., Postill, J., Hjorth, L., Lewis, T., & Tacchi, J. (2016). Digital Ethnography: Principles and Practice. Sage. ISBN: 978-1446287972 | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| Majina mbadala | digital field notes, smartphone field notes, mobile ethnographic notes, in-situ digital notes | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | Mobile Field Notes is a data collection technique in which researchers use smartphones, tablets, or wearable devices to record observations, reflections, photographs, audio, or video in real time during fieldwork. By capturing data at the moment and place of occurrence, the method reduces recall bias and enables richer, contextually anchored documentation compared with traditional pen-and-paper notes written retrospectively. | 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. |
| ScholarGateSeti ya data ↗ |
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