What Is Objectivity In Research?

An objective result is when the result is based on scientific fact and proof, rather than a person’s perception of the result. An objective decision is made on result and data gained based on continuous testing, and then demonstrated or confirmed by a third party, to prove there was no 'contamination' of the result by any individual involved in the testing - specifically, the results weren’t influenced by personal feelings, interpretations of the results, or personal prejudices. The outcome is purely based on facts, and is unbiased, to remove subjective evaluations by relying on verifiable data.

Therefore, when applying objectivity in researching something, it is key to fully evaluate and conclude the result based entirely on data and results obtained, as opposed to assuming the result based on partial knowledge of the subject matter, or one’s personal feelings. For example, if you want to check the reliability of a bike, and give the same bike to different people, an objective result of its lifetime will be based on how long each person gets use out of it, not just one tester in particular. This assures that, in ways, an average result is obtained of the bike’s reliability, as opposed to assuming one person’s usage will dictate the same result as millions of other potential users.

The conclusions drawn through the interpretation of the results of data analysis should be objective that is they should be based on the facts of the findings derived from actual data and not on our own subjective or emotional values. For instance of we had a hypothesis that stated that greater participation in decision making will increase organizational commitments and this was not supported by the results it makes no sense if the researcher continues to argue that increased opportunities for employee participation would still help. Such an argument would be based not on the factual, data-based research findings, but on the subjective opinion of the researcher. If this was the researcher's conviction all along, then there was no need to do the research in the first place.

Much damage can be sustained by organizations that implement non-data based or misleading conclusion drawn from research. For example if the hypothesis relating to organization commitment in our previous example was not supported, considerable time and effort would be wasted in finding ways to create opportunities for employee participation in decision making. We would only find later those employees participation in decision making. The more objective the interpretation of the data, the more scientific the research investigation becomes.

Having an open view

Its all about being out of having influence from the subject under study. One who wants to build objectivity must provide himself the needed direction to easily get or understand such thing.

Is away that regardless of grades it, the results will always be the same