Primary And Secondary Data Collection Methods Pdf

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Aside from consulting the primary origin or source, data can also be collected through a third party, a process common with secondary data.

Aside from consulting the primary origin or source, data can also be collected through a third party, a process common with secondary data.

Primary data and secondary data

In a time when data is becoming easily accessible to researchers all over the world, the practicality of utilizing secondary data for research is becoming more prevalent, same as its questionable authenticity when compared with primary data. These 2 types of data, when considered for research is a double-edged sword because it can equally make a research project as well as it can mar it. In a nutshell, primary data and secondary data both have their advantages and disadvantages. Therefore, when carrying out research, it is left for the researcher to weigh these factors and choose the better one. It is therefore important for one to study the similarities and differences between these data types so as to make proper decisions when choosing a better data type for research work.

Secondary data

The secondary data are readily available from the other sources and as such, there are no specific collection methods. The researcher can obtain data from the sources both internal and external to the organization. The internal sources of secondary data are:. The secondary data can be both qualitative and quantitative. The qualitative data can be obtained through newspapers, diaries, interviews, transcripts, etc. One of the advantages of the secondary data is that it is easily available and hence less time is required to gather all the relevant information.


Secondary data can be less valid but its importance is still there. Sometimes it is difficult to obtain primary data; in these cases getting information.


Primary Sources of Data and Secondary Sources of Data

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In recent years, we have seen a sudden increase in commercial applications in machine learning and AI. Machine learning models heavily rely on data. Therefore, data scientists have invented new methods of data collection. Some of these data collection methods did not exist before the rise of the digital revolution. However, in this article, we particularly want to revisit some of the very traditional yet useful and fundamental methods for the collection of primary data in statistics.

Primary sources of data collection have their advantages such as addressing specific research problems and applications in data management and storage. On the other hand, secondary data gathering has also a range of benefits, best practices, and important meaning in the marketing and data world. For each type of business to be successful, it is absolutely crucial to have reliable information for the market and customer characteristics. This is where intensive research methods and data collection tools come to make it possible. Primary data is information collected directly from first-hand experience.

Data Collection Methods

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In a time when data is becoming easily accessible to researchers all over the world, the practicality of utilizing secondary data for research is becoming more prevalent, same as its questionable authenticity when compared with primary data. These 2 types of data, when considered for research is a double-edged sword because it can equally make a research project as well as it can mar it. In a nutshell, primary data and secondary data both have their advantages and disadvantages. Therefore, when carrying out research, it is left for the researcher to weigh these factors and choose the better one.

Aside from consulting the primary origin or source, data can also be collected through a third party, a process common with secondary data. It takes advantage of the data collected from previous research, and uses it to carry out new research. Secondary data is one of the two main types of data, where the second type is the primary data. These 2 data types are very useful in research and statistics, but for the sake of this article, we will be restricting our scope to secondary data. We will study secondary data, its examples, sources and methods of analysis. Secondary data is the data that has already been collected through primary sources and made readily available for researchers to use for their own research. It is a type of data that has already been collected in the past.


ple, using techniques such as in-depth interviews, partici- pant observation, or focus groups. Primary data are data that are collected for the specific research.


In a time when data is becoming easily accessible to researchers all over the world, the practicality of utilizing secondary data for research is becoming more prevalent, same as its questionable authenticity when compared with primary data. These 2 types of data, when considered for research is a double-edged sword because it can equally make a research project as well as it can mar it. In a nutshell, primary data and secondary data both have their advantages and disadvantages. Therefore, when carrying out research, it is left for the researcher to weigh these factors and choose the better one.

Home Consumer Insights Market Research. Secondary research or desk research is a research method that involves using already existing data. Existing data is summarized and collated to increase the overall effectiveness of research. Secondary research includes research material published in research reports and similar documents.

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Primary Data VS Secondary Data
2 Response
  1. Inininam

    PDF | This paper examined primary and secondary sources of data. method is one of the primary sources of data which is used to collect.

  2. Mohalffoci1969

    This chapter examines prerequisites for enabling reuse or secondary analysis of qualitative data informally known as SAQD that has not been collected by the analyst.

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