Well exercised data collection process asks right questions
in right manner, thus generating good quality data. Data are generated from
experiments and sample surveys. High quality data is generated from well
exercised data collection process, properly designed experiments and pretested
questionnaires.
Data are of two type namely Primary data and Secondary data.
Primary data: Here we collect our own data or in other words
catch our own fish. So we can assure the quality of this data. Collection of
primary data is a time consuming and money consuming process. But we can generate
very good quality data.
For example: A pharmaceutical company claims that the medicine
A, that they have developed is better than medicine B which is already in the
market.
So medicine A is administered on 10 people and medicine B on
10 other people. Now several tests have to be made on these 20 individuals. The
results of these tests are numerical values which will validate or reject our
hypothesis that medicine A is better than medicine B. What tests are to be
conducted on these 20 individuals have to be clearly specified? These tests are
questions for which we are seeking answers in terms of data. So right questions
asked in right manner will generate good quality primary data.
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