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| Matriks Kaedah Campuran× | Reka Bentuk Kaedah Campuran Pelbagai Fasa× | |
|---|---|---|
| Bidang | Reka Bentuk Penyelidikan | Reka Bentuk Penyelidikan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2003–2010 | 2007 (first edition of Designing and Conducting Mixed Methods Research) |
| Pengasas≠ | Tashakkori & Teddlie; Onwuegbuzie & Teddlie | John W. Creswell & Vicki L. Plano Clark |
| Jenis≠ | Research design classification and planning tool | Mixed methods research design |
| Sumber perintis≠ | Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Sage. link ↗ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute |
| Alias | MMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrix | multiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | The mixed methods matrix is a systematic framework for classifying, planning, and comparing mixed methods research designs along key dimensions such as timing (concurrent vs. sequential), priority (quantitative- vs. qualitative-dominant), and point of integration. It provides researchers with a structured map to make design decisions explicit, communicate choices transparently, and locate a study within the broader mixed methods typology. | The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem. |
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