Validating quantitative data triangulation model

In fact, there’s a journal dedicated to mixed-method research, aptly named, The Journal of Mixed Method Research.Customer research lends itself well to the triangulating that a mixed-methods approach offers: identifying areas of convergence among methods to, in turn, increase the usefulness and validity of the findings.In a previous article we explored ‘bias’ across research designs and outlined strategies to minimise bias.1 The aim of this article is to further outline rigour, or the integrity in which a study is conducted, and ensure the credibility of findings in relation to qualitative research.Concepts such as reliability, validity and generalisability typically associated with quantitative research and alternative terminology will be compared in relation to their application to qualitative research.You will be able to get a quick price and instant permission to reuse the content in many different ways.We often talk of qualitative OR quantitative research.

Evaluating the quality of research is essential if findings are to be utilised in practice and incorporated into care delivery.

Unlike quantitative researchers, who apply statistical methods for establishing validity and reliability of research findings, qualitative researchers aim to design and incorporate methodological strategies to ensure the ‘trustworthiness’ of the findings.

Such strategies include: Table 2 provides some specific examples of how some of these strategies were utilised to ensure rigour in a study that explored the impact of being a family carer to patients with stage 5 chronic kidney disease managed without dialysis.10In summary, it is imperative that all qualitative researchers incorporate strategies to enhance the credibility of a study during research design and implementation.

We often start with 5 to 10 participants in a classic think-aloud, moderated usability test.

This exposes problem areas for which to create new tasks and survey questions, which in turn helps us refine our understanding of customer attitudes.

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