Research methodology for secondary data

In your own research, you can therefore reuse this qualitative data to form a questionnaire, which you then give to a larger population of people who live on boats. Unfortunately, the list of disadvantages does not end here.

Alternatively, you may rely on marketing data, where your goal would be to assess the benefits and outcomes of different marketing operations and strategies. Secondary data is usually easily accessible from online sources.

TABLE 2 provides a full summary of advantages and disadvantages of secondary research: Secondary research takes much less time than primary research Wrong format: Government agencies tend to conduct a lot of research, therefore covering almost any kind of topic you can think of.

METHOD Using secondary data set in isolation Re-assessing a data set with a different research question in mind Combining two secondary data sets Investigating the relationship between variables in two data sets or comparing findings from two past studies Combining secondary and primary data sets Obtaining existing information that informs your primary research Types of secondary data The two most common types of secondary research are, as with all types of data, quantitative and qualitative.

To take an example: But this is far from the only consideration. If you had collected this data yourself, your own data set would probably have more flaws, simply because of your lower level of expertise when compared to these professional researchers. Each organisation keeps a track of its sales records, and thus your data may provide information on sales by geographical area, types of customer, product prices, types of product packaging, time of the year, and the like.

There are several types of internal sources. Good sources of information include: However, one data set could have been collected in Britain and the other in Germany. After identifying the research domain, the researcher would look at various sources of information and decide where to get necessary data.

The purpose of using this data could be to conduct a cost-benefit analysis and understand the economic opportunities or outcomes of hiring more people, buying more vehicles, investing in new products, and so on.

At this point, we should ask: Suppose that, in your research, you want to investigate whether pregnant women of different nationalities experience different levels of anxiety during different pregnancy stages. But the secondary data set may contain a categorical age variable; for example, participants might have indicated an age group they belong to e.

Secondary data may have a different format than you require Accessibility: You may decide to do this when you want to obtain existing information that would inform your primary research. With secondary research, you are relying not only on a large scope of data, but also on professionally collected data.

In this case, you can simply reuse the data from the American study and adopt exactly the same measures with your British participants. TABLE 3 summarises particular methods and purposes of secondary research: Next, the researcher would prepare a list of questions to be solved by the end of the process.

But if the original researchers did not establish the reliability and validity of their data, this may limit its reliability and validity for your research as well. One of the most obvious advantages is that, compared to primary research, secondary research is inexpensive.

Secondary Research

For instance, if you are doing a research project for an organisation or research institution where you are an intern, and you want to reuse some of their past data, you would be using internal data sources.

Your research may, however, require you to combine two secondary data sets. Variations There are two types of Secondary Research hence two types of data collected from this technique: This may require you to take extra steps to obtain such information, if that is possible at all.

Secondary research can, therefore, be conducted by using either quantitative or qualitative data sets. Alternatively, you may combine these types of data when the role of your secondary data is to outline descriptive information that supports your research.

This is yet another advantage of secondary research. Example for this step comes from a research project of area household income data in the US.

Your secondary data is being combined with your primary data. Another external source of secondary data are national and international institutions, including banks, trade unions, universities, health organisations, etc.

There are several reasons for this. Passport GMID or Datamonitor ; and Different media such as articles from respected magazines and newspaper, reports from university research centers or non-profit agency.

All researchers need to establish that their data is reliable and valid.We have defined secondary data, outlined its advantages and disadvantages, introduced the methods and purposes of secondary research, and outlined the types and sources of secondary data.

At this point, you should have a clearer understanding of secondary research in general terms. In social science research, the terms primary data and secondary data are common parlance. Primary data is collected by a researcher or team of researchers for the specific purpose or analysis under consideration.

Here, a research team conceives of and develops a research project, collects data. that secondary data analysis is a viable method to utilize in the process of inquiry when a systematic procedure is followed and presents an illustrative research application utilizing secondary data analysis in library and information science research.

Learn the difference between primary research performed to meet specific needs and (the more general) secondary research.

How to do your dissertation secondary research in 4 steps

the best approach is to start with secondary research. By looking at regional data, community surveys, and other available information, you can help identify your audience and market.

Secondary Data Collection Methods

3 Methods for Analyzing Consumer. Methods of Descriptive Research• Secondary data• Surveys• Panels• Observational and other data• Internet Descriptive Research: Strengths and Weaknesses• Strengths – Ability to provide an accurate description – Can be a basis for decision making• Weaknesses – Causal links not established – Can be more expensive and time.

Data collection is a process of collecting information from all the relevant sources to find answers to the research problem, test the hypothesis and evaluate the outcomes. Data collection methods can be divided into two categories: secondary methods of data collection and primary methods of data.

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Research methodology for secondary data
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