From rigour and trustworthiness validating mixed methods

The review concludes that (1) publications on the quality of mixed methods research are increasingly more prevalent and elaborated; (2) a shared set of core quality criteria for appraising mixed methods research can be identified across publications; and (3) future work on this topic should focus on increasing the number of empirical publications on quality, achieving greater consistency in quality terminology, and reaching an agreement on core quality criteria.The use of qualitative research methodology is well established for data generation within healthcare research generally and clinical pharmacy research the way in which qualitative research workers make sure that transferability, credibility, dependability, and confirmability are evident in their study.According to Guba’s aspects of trustworthiness which are relevant to both quantitative and qualitative studies are: Truth value questions if the investigator has established confidence in the truth of the results for the topics or informants and the context in which the research was undertaken.It is done when the investigator gives adequate information about the self (the researcher as instrument) and also the research context, processes, members, and researcher-participant connections to make it possible for the reader to decide how the findings may transfer.

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Quality is one of the most debated topics in the recent history of mixed methods research.

A growing number of authors are currently discussing how the quality of mixed methods research should be conceptualised and operationalised, with the ultimate aim of promoting well designed and properly implemented mixed methods studies.

Consistency of the data means whether the conclusions would be consistent if the inquiry were repeated with the same subject matter or in a similar context.

Consistency is defined in terms of dependability in qualitative research.

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