Discussions related to how the researchers in this study could ensure that the results of the study are credible could include, but are not limited to:
- Collecting rich data: Qualitative research uses an idiographic approach where the focus is on subjective data representing participants' own opinions and experiences with the phenomenon under study. In qualitative research, rich data can encompass the complexity of adolescents' perceptions of the mental health programme they have completed. Rich data and thick description can help in establishing the meaning that these adolescents' place on action and words as they see it themselves.
- Using triangulation: If similar results can be arrived at and validated using multiple sources of data, multiple methods or different researchers, then the result of the study will have greater credibility. There were two researchers in this study and both of them participated in the research process as one conducted the focus group interviews, and the other made the transcriptions from the recordings. Both of them took part in coding of the transcripts, and interpretation of the data, which could help to protect against researcher bias. The researchers in this study also invited a third researcher to check their findings. This measure could increase credibility as an external review could illuminate blind spots and overall make the findings more robust and well-documented.
- Having reflexivity: the researcher should use critical self-awareness with regard to personal interests (personal reflexivity) as well as methodological choices (epistemological reflexivity).
- Using a "decision trail" (or audit trail). For example, the researchers could develop a reflective journal where they make regular entries, with regard to methodological decisions and reasons for them, and/or how the researchers' own values, beliefs, and interests may have come into play during the research process. It would also be appropriate to walk through every step of the research process to determine if there are examples of researcher bias.
- Participant verification / member checking: This means asking participants in a study to check the results and the statements chosen to support the conclusions. Have the participants themselves judge whether or not the findings actually represent their experiences and opinions. This was not done in this study, but had it been implemented, the findings would increase in credibility.
- Examination of previous research findings on the same topic: Assessing the degree to which the findings of this qualitative research are congruent with previous studies.