title: [Mixed methods: promising strategies for the evaluation of nursing interventions].
abstract: Based on a survey of the literature in human and nursing sciences and illustrated with concrete research examples, we will identify promising research directions for mixed-methods studies and present strategies for applying this type of research design to the evaluation of nursing interventions. This article provides three examples of mixed-methods design that utilize schematic representation about evaluation of nursing interventions. Based on examples, the issues discussed are: (1) sufficient significance for research program to invest the required human and material resources, (2) reason for using qualitative and quantitative data simultaneously or sequentially, (3) integration of qualitative and quantitative data when the participants are from different target populations; (4) presentation of the findings.
authors: Université de Montréal, Faculté des sciences infirmières. caroline.larue@umontreal.ca [corrected]
authors: Caroline
authors: C
authors: Larue
authors: Carmen G
authors: CG
authors: Loiselle
authors: Jean-Pierre
authors: JP
authors: Bonin
authors: Robin
authors: R
authors: Cohen
authors: Céline
authors: C
authors: Gélinas
authors: Sylvie
authors: S
authors: Dubois
authors: Sylvie
authors: S
authors: Lambert
mesh_terms: D000465:Algorithms; D003625:Data Collection / Q000379:methods; D003627:Data Interpretation, Statistical; D003663:Decision Trees; D006801:Humans; D019359:Knowledge; D015403:Nursing Evaluation Research / Q000379:methods*; D015404:Nursing Methodology Research / Q000379:methods*; D036301:Qualitative Research; D012107:Research Design / Q000592:standards