What Is Objectivity In Research?

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.

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