Data, Type of data, Collection methods of primary data

अर्थशास्त्र

Data, Type of data, Collection methods of primary data

Data

The detailed form of a group of numerical facts related to a problem is called statistics.

Type of data

(i) Primary Data: The data that the researcher collects from the self-associated location first and uses data, such data is called primary data.

(ii) Secondary Data: The data that has already been collected by somebody else, if any other expert uses these data, these data are called secondary data.


 

Differences between primary and secondary data:

Primary Data

Secondary Data

1. It researches itself collectively. 1. These data are taken from the data gathered by another researcher.
  2. It takes more time, labor and money to collect it.   2. The collection of these statistics takes less time, labor and money.
3. These data are collected accordingly for the purpose. 3. These data may have been taken for any other purpose, so they are not compatible with the current purpose.
4. The research done by these data is accurate and objective.  4. The research done from these statistics can be questionable




Collection methods of primary data:

(i) Direct personal research.

(ii) indirect oral examination.

(iii) by local persons or appointed contractor.

(iv) By the questionnaire method.

       (a) By postal

       (b) Filling schedules by the enumerators

(1) By direct personal research:

This is the method in which a research person goes directly to the research area and establishes direct and direct contact with those who give information and collects the data.

Merits:

(i) The precision is more in the data obtained from it.

(ii) Due to data being collected by the same person, uniformity is found in the statistics.

(iii) The originality is found in the data collected by this method.

(iv) These figures are more reliable.

(v) This method is elastic, as per the requirement, the researcher can reduce or increase the questions.


Demerits:

(i) This method is inappropriate for large areas.

(ii) There is a fear of being individually biased.

(iii) This method does not produce good results when there is a wide area.

(vi) Labor power and more money are used.

(v) This method takes longer.