Biasness in the Primary sources of data collection
The Primary sources of data collection mainly involve the self-reporting measures, i.e. the survey or interview form of gathering relevant data. Such techniques often exhibit several biases which the researcher must be cautious about. Some potential issues are:
- Understatement or Overstatement of the existing problem by the respondents- Such biasness is encountered usually in case of a research that involves respondents to describe their feelings or experiences, which are influenced by the social environment. In such a case, researcher must make his best effort to encourage honest answers by the participants.
- Response depending upon self-evaluation is another situation of biasness by the respondents wherein they bend their answers to reflect what should be rather than what the actual case is.
- Non-Remembrance of the past experiences by the participants may instill inaccuracy in research.
Primary sources such as interviews and surveys are important in research, but should be used cautiously.
Dennis lillee 11:12 am on April 11, 2014 Permalink |
Skipping from such bias is not just difficult but nearly impossible.