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Matrica mješovitih metoda×Dizajn mješovitih metoda s istovremenom triangulacijom×
PodručjeDizajn istraživanjaDizajn istraživanja
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka2003–20102007 (formally named in Creswell & Plano Clark, 1st ed.)
TvoracTashakkori & Teddlie; Onwuegbuzie & TeddlieJohn W. Creswell & Vicki L. Plano Clark
VrstaResearch design classification and planning toolMixed methods research design
Temeljni izvorOnwuegbuzie, 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. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179
Drugi naziviMMR matrix, mixed-methods design matrix, research design classification matrix, mixed methods typology matrixconvergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation
Srodne65
SažetakThe 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 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.
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ScholarGateUsporedite metode: Mixed Methods Matrix · Concurrent Triangulation Mixed Methods Design. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare