השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מטא-היסק בשיטות מעורבות× | מערך מחקר משולב של משולש בו-זמני× | |
|---|---|---|
| תחום | תכנון מחקר | תכנון מחקר |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1998–2003 | 2007 (formally named in Creswell & Plano Clark, 1st ed.) |
| הוגה השיטה≠ | Abbas Tashakkori & Charles Teddlie | John W. Creswell & Vicki L. Plano Clark |
| סוג≠ | Mixed methods integration procedure | Mixed methods research design |
| מקור מכונן≠ | 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179 |
| כינויים | meta-inference, mixed methods overall inference, integrated inference, MMR meta-inference | convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation |
| קשורות≠ | 6 | 5 |
| תקציר≠ | Mixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone. | The concurrent triangulation mixed methods design collects quantitative and qualitative data simultaneously, analyzes each strand independently, and then merges the results to assess whether the two data sources corroborate one another. Often called the convergent parallel design, it is one of the foundational configurations in mixed methods research and is chosen specifically when the researcher wants to cross-validate or triangulate findings from two distinct methodological traditions. |
| ScholarGateמערך נתונים ↗ |
|
|