Primary Data Concept

Primary Data Concept

Primary Data is a kind of data which is originally collected for a purpose. Such data is then processed by using different statistical technique for decision making, prediction etc.

Primary Data Collection Methods

Primary data Collection methods includes direct interview, indirect interview or investigation, questionnaires,

1.    Direct investigation

Interested person collect the data personally. Data collected under this method is regard to be accurate and relevant to the need of interested person.

2.    Indirect Investigation

Under this method interested person hire some person for data collection. Primary reason to hire other person is difficult to get data. For example male researcher cannot get information about pregnancy related disease.

3.    Questionnaire

Under this method data is collected by designing a questionnaire. This methods cheap and provides exact question. However, this method is effective if questionnaire has been well designed, questions are well structure, and data is properly recorded in the forms.

4.    Enumerator

Under this method questionnaire is filled by the trained enumerator , there are number of advantages for using trained enumerator for form /questionnaire filling i.e. low rate of mistakes, high response, efficiency etc.

Primary Data Advantages

Primary data advantages includes more relevant, update (current data)

1.    Relevance of Data

Primary data is regarded as more relevant to purpose and therefore more useful for decision making and analyses.

2.    Current Data

Primary data main advantage includes its updated form. Therefore primary data is regarded as more reliable for statistical analyses. Secondary data on other side may not be current and therefore not useful.