Your query brought back a distant memory of my PhD supervisor gifting me the word "Triangulation" in one of our supervisory meetings
:) Triangulation: using different data sources and methods to back-up/substantiate your findings, including findings from interviews. This way you are able to increase the validity of the findings from your qualitative research. For instance, an interviewee may give a bit of information, which you can then attempt to verify by for instance, checking if the same point is made in another interview or if a book, company record or newspaper has the same information. Of course too the use of data analysis tools such as Atlas.ti helps in qualitative research.
Hope this is useful and all the best with your research!
Here are couple of journal articles related to trustworthiness in qualitative research:
1. McGinley, S., Wei, W., Zhang, L., & Zheng, Y. (2021). The State of qualitative research in hospitality: A 5-year review 2014 to 2019. Cornell Hospitality Quarterly, 62(1), 8–20. https://doi.org/10.1177/1938965520940294
2. Bahar, V. S., Nenonen, S., & Starr, R. G. (2021). From channel integration to platform integration: Capabilities required in hospitality. Industrial Marketing Management, 94, 19–40. https://doi.org/https://doi.org/10.1016/j.indmarman.2021.02.003
The first article keeps it simple and focuses on four key criteria: credibility, transferability, dependability and confirmability. Most qualitative research address these four criteria. The second article incorporates a few more trustworthiness standards (but that is an "overkill").
The classic discussion of trustworthiness in qualitative discussion is Lincoln & Guba, Naturalistic Inquiry (they are the ones who chose the word "trustworthiness").
Indianna D. Minto-Coy wow, it does help. Thank you so much. Thank you for the responses David L Morgan and Varqa Shamsi Bahar your responses have given me deeper insights into qualitative research.
I am just building off what David L Morgan stated. The following article might help you understand Lincoln and Guba better:
Forero, R., Nahidi, S., De Costa, J., Mohsin, M., Fitzgerald, G., Gibson, N., ... & Aboagye-Sarfo, P. (2018). Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine. BMC Health Services Research, 18(1), 120. https://dx.doi.org/10.1186%2Fs12913-018-2915-2
To be accepted as trustworthy, qualitative researchers must demonstrate that data analysis has been conducted in a precise, consistent, and exhaustive manner through recording, sys- tematizing, and disclosing the methods of analysis with enough detail to enable the reader to determine whether the process is credible.