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Triangulation in research, with examples

2019; BMJ; Volume: 22; Issue: 3 Linguagem: Inglês

10.1136/ebnurs-2019-103145

1468-9618

Helen Noble, Roberta Heale,

Primary Care and Health Outcomes

Triangulation is a method used to increase the credibility and validity of research findings.1 Credibility refers to trustworthiness and how believable a study is; validity is concerned with the extent to which a study accurately reflects or evaluates the concept or ideas being investigated.2 Triangulation, by combining theories, methods or observers in a research study, can help ensure that fundamental biases arising from the use of a single method or a single observer are overcome. Triangulation is also an effort to help explore and explain complex human behaviour using a variety of methods to offer a more balanced explanation to readers.2 It is a procedure that enables validation of data and can be used in both quantitative and qualitative studies. Triangulation can enrich research as it offers a variety of datasets to explain differing aspects of a phenomenon of interest. It also helps refute where one dataset invalidates a supposition generated by another. It can assist the confirming of a hypothesis where one set of findings confirms another set. Finally, triangulation can help explain the results of a study.3 Central to triangulation is the notion that methods leading to the same results give more confidence in the research findings.4 Four types of triangulation are proposed by Denzin (p.301):5 (1) data triangulation, which includes matters …