Any mixed-method researchers out there have good resources on how to interpret mixed-methods findings that do not converge, quant tells you one thing, qual tells you something else. I have found some good resources on triangulation (Jick, 1979; Rossman & Wilson 1985) related but looking for more recent articles in the area.
HI. the purpose of triangulation is not necessarily verifying the qual or quan data . If there is a kind of remarkable divergence, the researcher should scrutinize it to see the justifications behind them. maybe, it provides new fields of further research h. best
Notably, the whole idea behind using a mixed methods research is to increase the scope of research validity by enlisting both quantitative and qualitative data collecting methods and providing a deeper meaning of the phenomenon under investigation. Integrating various research methods also offers the advantage of giving the researcher more confidence in the results and the conclusions drawn from the study. As such, the primary expectation in a mixed methods research is convergence rather than the divergence of the results. In the case of divergence, two actions deem necessary. First, we should reexamine the steps involved in phase one and phase two of the study to see if there are any reasons causing the divergence. Second, if the divergence is justified, we should most likely use a different research method. Here, triangulation might be helpful, but it cannot reveal the causes underlying the existing divergence.
I hope that the following links can provide you with the answers you are looking for.
Article Divergence and Mixed Methods
Article Different Methods, Different Results: Examining the Implicat...
http://methods.sagepub.com/book/advances-in-mixed-methods-research/d4.xml
https://uk.sagepub.com/en-gb/eur/advances-in-mixed-methods-research/book232050
http://journals.sagepub.com/doi/abs/10.1177/1094428116639133?journalCode=orma
Article Triangulation and Mixed Methods Research: Provocative Positions
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