Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Metodologi Gabungan Berturutan Berfokus Kes× | Kaedah Campuran Berfokus Kes Serentak× | |
|---|---|---|
| Bidang | Reka Bentuk Penyelidikan | Reka Bentuk Penyelidikan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2000s–2010s | 2000s–2010s (formalized in Creswell & Plano Clark 2011, 2018) |
| Pengasas≠ | Robert K. Yin (case study integration); John W. Creswell & Vicki L. Plano Clark (sequential mixed methods typology) | Creswell & Plano Clark (mixed methods typology); Yin (case study methods) |
| Jenis | Mixed methods research design | Mixed methods research design |
| Sumber perintis | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483358307 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. link ↗ |
| Alias | sequential case study mixed methods, case-focused sequential design, sequential mixed case design, SCFMM | concurrent case study mixed methods, parallel case-focused mixed design, simultaneous case mixed methods, case-embedded concurrent mixed design |
| Berkaitan≠ | 5 | 6 |
| Ringkasan≠ | Sequential case-focused mixed methods design combines the depth of case study methodology with the phased data-collection logic of sequential mixed methods. Quantitative and qualitative data are gathered in distinct, ordered phases — either QUAN then QUAL or QUAL then QUAN — and both strands are anchored within one or more bounded cases. The design is suited to research questions that require understanding how and why phenomena unfold within specific real-world contexts. | Concurrent case-focused mixed methods is a research design in which quantitative and qualitative data are collected simultaneously — rather than in sequence — and both strands are anchored within one or more bounded cases (e.g., a school, a program, a community, or an organisation). The two data strands are analyzed separately, then merged or compared to produce a fuller, case-grounded understanding than either strand could yield alone. |
| ScholarGateSet data ↗ |
|
|