Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Macierz mieszanych metod zorientowana na ewaluację× | Projekt transformatywny metod mieszanych× | |
|---|---|---|
| Dziedzina | Projektowanie badań | Projektowanie badań |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2000s (Teddlie & Tashakkori 2009; Greene 2007) | 2003–2009 |
| Twórca≠ | Teddlie & Tashakkori (matrix framework); Greene (evaluation-oriented framing) | Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark |
| Typ≠ | Mixed methods design variant | Mixed methods research design |
| Źródło pierwotne≠ | Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129 | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 |
| Inne nazwy | evaluation MMM, mixed methods display matrix for evaluation, evaluation-focused methods matrix, program evaluation mixed methods matrix | transformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods |
| Pokrewne≠ | 5 | 6 |
| Podsumowanie≠ | The evaluation-oriented mixed methods matrix is a structured planning and display tool applied within program evaluation contexts. It maps evaluation questions against data sources, timing, and method types — quantitative and qualitative — in a grid format, making the integration logic explicit and auditable. Rooted in Greene's value-engaged mixed methods tradition and Teddlie and Tashakkori's matrix framework, it serves evaluators who must justify methodological choices to stakeholders while addressing multiple evaluation purposes simultaneously. | Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities. |
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