方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 在线半结构化访谈× | 在线焦点小组× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Late 1990s–2000s (systematic treatment by ~2010) | 1946 (focus groups); online variant ~1990s–2000s |
| 提出者≠ | Adapted from face-to-face semi-structured interviewing; online variant emerged with internet adoption in research (Salmons, Mann, Stewart) | Robert Merton & Patricia Kendall (focus group origins); online adaptation by scholars including Stewart & Shamdasani in the 1990s |
| 类型≠ | Qualitative data collection technique | Qualitative group data collection |
| 开创性文献≠ | Brinkmann, S., & Kvale, S. (2015). InterViews: Learning the Craft of Qualitative Research Interviewing (3rd ed.). Sage. ISBN: 978-1452203867 | Stewart, D. W., & Shamdasani, P. N. (2017). Online Focus Groups. Journal of Advertising, 46(1), 48–60. DOI ↗ |
| 别名 | virtual semi-structured interview, remote semi-structured interview, online qualitative interview, video-mediated semi-structured interview | virtual focus group, internet focus group, OFG, web-based focus group |
| 相关 | 5 | 5 |
| 摘要≠ | An online semi-structured interview is a qualitative data collection technique in which a researcher conducts a guided but flexible conversation with a participant over a digital medium — video call, telephone, chat, or email — using a prepared interview guide with open-ended questions while remaining free to probe, reorder, or add follow-up questions as the dialogue unfolds. It combines the accessibility of remote communication with the depth and adaptability of semi-structured inquiry. | An online focus group is a moderated group discussion conducted via internet-based platforms — video conferencing, text chat, or asynchronous forums — to explore shared perceptions, attitudes, and experiences on a defined topic. It inherits the group-interaction dynamics of the traditional focus group while removing geographic barriers and enabling data collection from dispersed or hard-to-reach populations. |
| ScholarGate数据集 ↗ |
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