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DATA INTEGRATION IN MIXED-METHOD RESEARCH STUDIES: CHALLENGE AND OPPORTUNITY FOR NURSING

2020; Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem; Volume: 29; Linguagem: Inglês

10.1590/1980-265x-tce-2020-0002-0003

1980-265X

João Lucas Campos de Oliveira,

Primary Care and Health Outcomes

Mixed-method research studies have been referred to as those that condense, in the same study, procedures of collection, analysis, and combination/integration of data from quantitative and qualitative approaches/strands.2] This reverberates the researcher's need for bearing in mind the justifications for the use of mixed-method research studies, as it is the case with the confirmation (corroboration/convergence) and complementarity (addition/enhancement) arguments.Furthermore, it should be apprehended that the integration must occur as the study goes, starting from the formulation of the research question, definition of the analysis unit, sampling, data collection, analysis, and strategies for the presentation of the results. 3here are four main mechanisms of data integration in mixed-method research studies: connection, construction, fusion, and incorporation. 1 Connection concerns the use of a set of analyzed data to lead the collection of other data, and it is very common in sequential explanatory research studies that start with the quantitative stage and use (connect) the statistical information to define even the subjects/participants of the subsequent qualitative stage.By construction, we understand that it is a commonly used way to integrate qualitative primary data, which, after analyzed, are used to construct means/instruments that will enable the extraction of subsequent quantitative data. 1 The construction is interpreted here as a way or nuance of connection, as it also keeps separate but combined/connected extremes of qualitative and quantitative data collection and analysis.