Ethical and Ideological Neutrality

The conclusions drawn through 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, if we had a hypothesis that stated that greater participation in
decision making will increase organizational commitment, 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 conviction of the researcher all
along, then there was no need to do the research in the first place.
Researchers are human beings, having individual ideologies, religious affiliations, cultural differences
which can influence the research findings.  Any interference of their personal likings and dis-likings in
their research can contaminate the purity of the data, which ultimately can affect the predictions made
by the researcher.  Therefore, one of the important characteristics of scientific method is to follow the
principle of objectivity, uphold neutrality, and present the results in an unbiased manner.