Data credibility depends on various factors, including the source of the data, the methods used to collect and analyze it, and the accuracy of the data. The data should come from a trustworthy and respectable source, and the procedures used to gather and evaluate the data should be verified and recorded. Its accuracy should also be checked to ensure the data is current and reliable. It should also be easy to access for the data to be validated and confirmed for correctness.
How do you ensure that your observations and findings are reliable and valid?
Inquiries about internal validity in quantitative research are analogous to questions about finding coherence in qualitative research.
For the ideas to have some relationship with one another, it is important to comprehend how the reported findings "hang together." However, unlike quantitative research, there is no expectation that all responses to coherence credibility will yield the same result. Building credibility involves the reporter and the eventual reader.
One of the key ways that credible data is established is through the use of rigorous research methods. This includes using appropriate sampling techniques, carefully designing and pilot testing research instruments, and following established ethical guidelines. By adhering to rigorous research methods, researchers can minimize sources of error and bias and increase confidence in the findings.