Wilhelmi, Miguel R.Belletich Ruiz, OlgaIribas Pardo, HaritzAbaurrea Larrayoz, JaioneLasa Oyarbide, Aitzol2025-03-052025-03-052021Wilhelmi M. R., Belletich, O., Iribas, H., Abaurrea, J., Lasa, A. (2021). Triangulation en recherche qualitative à l'aide: de l'analyse statistique implicative. En Régnier, J. C., Gras, R., Bodin, A., Couturier, R., Vergnaud G. (Eds.), Actes du 11ème colloque d'Analyse Statistique Implicative: Analyses quali-quantitatives des liens orientés entre variables et/ou groupes de variables (pp. 149-167). Université Bourgogne Franche-Comté- Besançon.978-2-9562045-5-8https://academica-e.unavarra.es/handle/2454/53671In Education Sciences and, more generally, in Human and Social Sciences, qualitative and descriptive approaches are used extensively. From a methodological point of view, triangulation is in turn widely used. This triangulation can integrate quantitative methods referring to categorical variables (or qualitative variables or ‘attribute’ variables). This specificity is often not well understood by researchers, who may lack the necessary technical training in these research areas. General considerations are provided and applied to a particular study, namely: “describing the profile students to become kindergarten or primary schools’ teachers".application/pdffraQualitative researchTriangulationCategorical variablesTeacher traininginfo:eu-repo/semantics/conferenceObject2025-03-05info:eu-repo/semantics/openAccess