手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| マルチソース深層インタビュー× | 複数ソース・フォーカス・グループ ― 多様なステークホルダーからの質的データ収集× | |
|---|---|---|
| 分野 | 調査方法論 | 調査方法論 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1980s–1990s (formalized in qualitative inquiry literature) | 1980s–1990s |
| 提唱者≠ | Grounded in qualitative traditions consolidated by Patton, Lincoln & Guba, and others | Developed from focus group methodology; formalized in applied social research (Krueger, Morgan, and colleagues) |
| 種類 | Qualitative data collection technique | Qualitative data collection technique |
| 原典≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Krueger, R. A., & Casey, M. A. (2015). Focus Groups: A Practical Guide for Applied Research (5th ed.). Sage. ISBN: 978-1483365244 |
| 別名 | multi-informant in-depth interview, multi-perspective qualitative interview, multiple-source IDI, multi-stakeholder in-depth interview | multi-stakeholder focus group, multiple-source focus group, cross-source focus group, MSFG |
| 関連≠ | 5 | 4 |
| 概要≠ | The multi-source in-depth interview is a qualitative data collection strategy in which extended, open-ended interviews are conducted with participants drawn from two or more distinct source groups — such as providers and clients, managers and staff, or experts and laypeople. Collecting data across diverse informant positions enriches description and enables the researcher to examine a phenomenon from multiple vantage points within a single study. | The multi-source focus group method extends the standard focus group design by deliberately recruiting participants from two or more distinct stakeholder groups — for example, clinicians and patients, teachers and students, or managers and frontline staff. Separate sessions are held for each source group using a shared discussion protocol, and the resulting data are analyzed both within each group and across groups to reveal convergences, tensions, and perspectives that no single-source design could uncover. |
| ScholarGateデータセット ↗ |
|
|