The factors used to set up this formula are credibility, transferability, confirmability, and dependability. These factors, put together, create an overall level of trustworthiness and legitimacy that readers and publishers can use to base their information on going forward.īasically, these qualities judge and share whether a source is valid and reliable. The process of ascertaining credibility in research surveys and studies is based partly on quantitative and partly on qualitative values. Their part in the research should be completely transparent and observable at all points for true objectivity to be assured. It also shines a spotlight on anyone who may have had vested interests in the results. This lets you know if the individual, group, or organization had the experience and knowledge necessary to conduct a thorough investigation of the topic at hand. Part of that determination is ascertained by looking into the researcher and everyone who had a role in the outcome. Since it has the capability to be the foundation on which other studies are built, it’s important to know the outcome is credible. Research begets research, and a credible outcome can be used to influence further questions or as a source of data and analysis for another hypothesis.
Still, others want to develop new frameworks to guide theories or evaluate the impact of a program that is or could become widely used.Īll of these have an impact on either the academic world or society. Others hope to stimulate an income source. For some researchers, the aim is to drive policy change. Research studies are undertaken for a myriad of reasons, but all of them serve a purpose.
Therefore, ascertaining the credibility of a research survey or study that used qualitative evidence to drive its final outcome is sometimes questionable.īecause of this ambiguity, it’s necessary to understand how credibility in research studies and surveys is analyzed to determine the legitimacy of the overall outcome.
Qualitative measures, on the other hand, are not measured with metrics that focus on validity and reliability. Quantitative data is, by nature, credible because of its factual basis. For this reason, data is derived from thoroughly evaluated quantitative and qualitative evidence. The credibility of a research survey or study is essential in determining whether the outcome is valid and reliable or not.
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