गौण आंकड़े
Secondary data is one of the two main types of data, where the second type is the primary data. These two data types are very useful in research and statistics
We will study secondary data, its examples, sources, and methods of analysis.
What is Secondary Data?
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.
A researcher may have collected the data for a particular project, then made it available to be used by another researcher. The data may also have been collected for general use with no specific research purpose like in the case of the national census.
Data classified as secondary for particular research may be said to be primary for another research. This is the case when data is being reused, making it primary data for the first research and secondary data for the second research it is being used for.
Sources of Secondary Data
Sources of secondary data include books, personal sources, journals, newspapers, websites, government records etc. Secondary data are known to be readily available compared to that of primary data. It requires very little research and needs for manpower to use these sources.
With the advent of electronic media and the internet, secondary data sources have become more easily accessible. Some of these sources are highlighted below.
- Books
Books are one of the most traditional ways of collecting data. Today, there are books available for all topics we can think of. When carrying out research, all we have to do is look for a book on the topic being researched, then select from the available repository of books in that area. Books, when carefully chosen are an authentic source of authentic data and can be useful in preparing a literature review.
- Published Sources
There are a variety of published sources available for different research topics. The authenticity of the data generated from these sources depends majorly on the writer and publishing company.
Published sources may be printed or electronic as the case may be. They may be paid or free depending on the writer and publishing company’s decision.
- Unpublished Personal Sources
This may not be readily available and easily accessible compared to the published sources. They only become accessible if the researcher shares with another researcher who is not allowed to share it with a third party.
For example, the product management team of an organization may need data on customer feedback to assess what customers think about their product and improvement suggestions. They will need to collect the data from the customer service department, which primarily collected the data to improve customer service.
- Journal
Journals are gradually becoming more important than books these days when data collection is concerned. This is because journals are updated regularly with new publications on a periodic basis, therefore giving to date information.
Also, journals are usually more specific when it comes to research. For example, we can have a journal on, “Secondary data collection for quantitative data” while a book will simply be titled, “Secondary data collection”.
- Newspapers
In most cases, the information passed through a newspaper is usually very reliable. Hence, making it one of the most authentic sources of collecting secondary data.
The kind of data commonly shared in newspapers is usually more political, economic, and educational than scientific. Therefore, newspapers may not be the best source for scientific data collection.
- Websites
The information shared on websites is mostly not regulated and as such may not be trusted compared to other sources. However, there are some regulated websites that only share authentic data and can be trusted by researchers.
Most of these websites are usually government websites or private organizations that are paid, data collectors.
- Blogs
Blogs are one of the most common online sources for data and may even be less authentic than websites. These days, practically everyone owns a blog, and a lot of people use these blogs to drive traffic to their website or make money through paid ads.
Therefore, they cannot always be trusted. For example, a blogger may write good things about a product because he or she was paid to do so by the manufacturer even though these things are not true.
- Diaries
They are personal records and as such rarely used for data collection by researchers. Also, diaries are usually personal, except for these days when people now share public diaries containing specific events in their life.
A common example of this is Anne Frank’s diary which contained an accurate record of the Nazi wars.
- Government Records
Government records are a very important and authentic source of secondary data. They contain information useful in marketing, management, humanities, and social science research.
Some of these records include; census data, health records, education institute records, etc. They are usually collected to aid proper planning, allocation of funds, and prioritizing of projects.
- Podcasts
Podcasts are gradually becoming very common these days, and a lot of people listen to them as an alternative to radio. They are more or less like online radio stations and are generating increasing popularity.
Information is usually shared during podcasts, and listeners can use it as a source of data collection.
Some other sources of data collection include:
- Letters
- Radio stations
- Public sector records.
Advantages of Secondary Data
- Ease of Access
Most of the sources of secondary data are easily accessible to researchers. Most of these sources can be accessed online through a mobile device. People who do not have access to the internet can also access them through print.
They are usually available in libraries, book stores, and can even be borrowed from other people.
- Inexpensive
Secondary data mostly require little to no cost for people to acquire them. Many books, journals, and magazines can be downloaded for free online. Books can also be borrowed for free from public libraries by people who do not have access to the internet.
Researchers do not have to spend money on investigations, and very little is spent on acquiring books if any.
- Time-Saving
The time spent on collecting secondary data is usually very little compared to that of primary data. The only investigation necessary for secondary data collection is the process of sourcing for necessary data sources.
Therefore, cutting the time that would normally be spent on the investigation. This will save a significant amount of time for the researcher
- Longitudinal and Comparative Studies
Secondary data makes it easy to carry out longitudinal studies without having to wait for a couple of years to draw conclusions. For example, you may want to compare the country’s population according to census 5 years ago, and now.
Rather than waiting for 5 years, the comparison can easily be made by collecting the census 5 years ago and now.
- Generating new insights
When re-evaluating data, especially through another person’s lens or point of view, new things are uncovered. There might be a thing that wasn’t discovered in the past by the primary data collector, that secondary data collection may reveal.
For example, when customers complain about difficulty using an app to the customer service team, they may decide to create a user guide teaching customers how to use it. However, when a product developer has access to this data, it may be uncovered that the issue came from and UI/UX design that needs to be worked on.
Disadvantages of Secondary Data
- Data Quality:
The data collected through secondary sources may not be as authentic as when collected directly from the source. This is a very common disadvantage with online sources due to a lack of regulatory bodies to monitor the kind of content that is being shared.
Therefore, working with this kind of data may have negative effects on the research being carried out.
- Irrelevant Data:
Researchers spend so much time surfing through a pool of irrelevant data before finally getting the one they need. This is because the data was not collected mainly for the researcher.
In some cases, a researcher may not even find the exact data he or she needs, but have to settle for the next best alternative.
- Exaggerated Data
Some data sources are known to exaggerate the information that is being shared. This bias may be some to maintain a good public image or due to a paid advert.
This is very common with many online blogs that even go a bead to share false information just to gain web traffic. For example, a FinTech startup may exaggerate the amount of money it has processed just to attract more customers.
A researcher gathering this data to investigate the total amount of money processed by FinTech startups in the US for the quarter may have to use this exaggerated data.
- Outdated Information
Some of the data sources are outdated and there are no new available data to replace the old ones. For example, the national census is not usually updated yearly.
Therefore, there have been changes in the country’s population since the last census. However, someone working with the country’s population will have to settle for the previously recorded figure even though it is outdated.
Conclusion
Secondary data has various uses in research, business, and statistics. Researchers choose secondary data for different reasons, with some of it being due to price, availability, or even needs of the research.
Although old, secondary data may be the only source of data in some cases. This may be due to the huge cost of performing research or due to its delegation to a particular body (e.g. national census).
In short, secondary data has its shortcomings, which may affect the outcome of the research negatively and also some advantages over primary data. It all depends on the situation, the researcher in question, and the kind of research being carried out.
गौण आंकडों से तात्पर्य उस आंकड़े से है जो प्राथमिक उपयोगकर्ता के अलावा किसी अन्य व्यक्ति द्वारा पहले एकत्र किया गया है। सामाजिक विज्ञान के लिए गौण आंकडों के सामान्य स्रोतों में जनगणना, सरकारी विभागों द्वारा एकत्र की गई जानकारी, संगठनात्मक रिकॉर्ड और अन्य शोध उद्देश्यों के लिए मूल रूप से एकत्र किया गया आंकड़े सम्मिलित हैं। इसके विपरीत, प्राथमिक आंकडों का शोध करने वाले अन्वेषक द्वारा एकत्र किया जाता है।
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| आंकड़े | भूतपूर्व आँकड़े |
| प्रक्रिया | त्वरित और सरल |
| स्रोत | सरकारी प्रकाशन, वेबसाइट, पुस्तकें, जर्नल लेख, आंतरिक रिकॉर्ड आदि। |
| लागत प्रभाविता | अल्पव्ययी |
| संग्रहकाल | लघु |
| विशिष्ट | शोधकर्ता की आवश्यकता के लिए विशिष्ट हो भी सकता है और नहीं भी |
| उपलब्धता | परिष्कृत रूप |
| परिशुद्धता और विश्वसनीयता | अपेक्षाकृत कम |
