Comparer des méthodes

	Schéma de devis méthodologique mixte à triangulation concurrente	Validité convergente
Domaine	Conception de la recherche	Psychométrie
Famille	Process / pipeline	Latent structure
Année d'origine	2007 (formally named in Creswell & Plano Clark, 1st ed.)	1959
Auteur d'origine	John W. Creswell & Vicki L. Plano Clark	Donald T. Campbell & Donald W. Fiske
Type	Mixed methods research design	Validity evidence / construct validation
Source fondatrice	Creswell, J. W., & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd ed.). Sage. ISBN: 978-1412975179	Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.
Alias	convergent parallel design, triangulation design, QUAN+QUAL concurrent design, simultaneous triangulation	convergent construct validity, convergence validity, AVE-based convergent validity
Apparentées	5	4
Résumé	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.	Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.