primary data and secondary data pdf

Primary Data And Secondary Data Pdf

By Josh R.
On Wednesday, May 19, 2021 9:09:13 PM

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Published: 20.05.2021

Primary Data VS Secondary Data

Published on June 20, by Raimo Streefkerk. Revised on February 16, Primary sources provide raw information and first-hand evidence. Examples include interview transcripts, statistical data, and works of art. A primary source gives you direct access to the subject of your research.

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.

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. Primary data is the kind of data that is collected directly from the data source without going through any existing sources.

Difference Between Primary and 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. 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.


Primary data is data that is collected by a researcher for the first time from first-hand resources using methods like experiments, observations, interviews and [70]. Benefit of using secondary data is that much of the background work needed has been already carried out, so it is time-saving and cost-efficient.


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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.

Primary Sources of Data and Secondary Sources of Data

Metrics details. The data from individual observational studies included in meta-analyses of drug effects are collected either from ad hoc methods i. The use of secondary sources may be prone to measurement bias and confounding due to over-the-counter and out-of-pocket drug consumption, or non-adherence to treatment. In fact, it has been noted that failing to consider the origin of the data as a potential cause of heterogeneity may change the conclusions of a meta-analysis. We aimed to assess to what extent the origin of data is explored as a source of heterogeneity in meta-analyses of observational studies.

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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.


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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. 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.

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.

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.

Data collection plays a very crucial role in the statistical analysis. In research, there are different methods used to gather information, all of which fall into two categories, i. As the name suggests, primary data is one which is collected for the first time by the researcher while secondary data is the data already collected or produced by others. There are many differences between primary and secondary data, which are discussed in this article. But the most important difference is that primary data is factual and original whereas secondary data is just the analysis and interpretation of the primary data.

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.

Primary data and secondary data

These are the data which are collected from some primary sources i. These are collected for the first time by an investigator or an agency for any statistical analysis. These are the data which are collected from some secondary source i.

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3 Comments

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