Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Catatan Lapangan Dalam Talian× | Diar Penyelidikan Dalam Talian× | |
|---|---|---|
| Bidang | Metodologi Tinjauan | Metodologi Tinjauan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1990s–2000s (digital extension of classical field notes practice) | Late 1990s–2000s (digital adaptation of diary methods dating to early 20th century social research) |
| Pengasas≠ | Extended from ethnographic field note tradition (Emerson, Fretz & Shaw); digital adaptation via Kozinets and virtual ethnography scholars | Adapted from traditional diary methods; online variant emerged with widespread internet adoption (late 1990s–2000s) |
| Jenis≠ | Qualitative data collection technique | Qualitative / mixed-methods data collection |
| Sumber perintis≠ | Emerson, R. M., Fretz, R. I., & Shaw, L. L. (2011). Writing Ethnographic Fieldnotes (2nd ed.). University of Chicago Press. ISBN: 978-0226206837 | Alaszewski, A. (2006). Using Diaries for Social Research. Sage Publications. ISBN: 978-0761941965 |
| Alias | digital field notes, virtual field notes, e-field notes, netnographic field notes | digital research diary, e-diary research, online reflective journal, web-based research diary |
| Berkaitan | 5 | 5 |
| Ringkasan≠ | Online field notes are structured, researcher-authored records of observations made within digital environments — social media platforms, online communities, virtual worlds, forums, and video-mediated spaces. Adapted from the classical ethnographic field note tradition, they capture not only what is observed but how the researcher interprets and situates those observations in real time, forming a primary data source for virtual ethnography and netnography. | The online research diary method is a data collection technique in which participants document their experiences, thoughts, or behaviours in structured or open-ended digital diary entries over a defined period. Delivered via email, web forms, blogging platforms, or dedicated apps, it captures temporally proximate, naturalistic data that retrospective interviews cannot provide. It is widely used in health research, education, psychology, and social sciences. |
| ScholarGateSet data ↗ |
|
|