Is Secondary Research Qualitative Or Quantitative?

sampling method

Secondary analysis of qualitative data has been less widely conducted, and very few reviews have addressed the topic. As a result, classifying different types of secondary research is difficult. Indeed, there are almost as many types as examples of it. Furthermore, some researchers may not even label their work as a secondary analysis.

Comparative advantages:

Secondary research relies on existing data sources so that it can be conducted quickly and inexpensively. However, gathering specific information is difficult, and the existing data may not have the currency required to be useful. Secondary research also lacks the unique characteristics of primary data. So, whether you’re researching a topic of interest or a general issue, it can be useful to use secondary data to supplement your preliminary research.

The comparative advantage between two producers of a good is usually measured in terms of opportunity costs or the value of the goods produced with the same resources. This value is then compared to the opportunity cost of another economic actor. For instance, if Factory A can make a hundred pairs of shoes, but competitor factory B can only make three, the former has a comparative advantage.


While secondary research can be useful, it has a few drawbacks. For one, it does not give researchers full control over the data collection. In some cases, secondary data is inaccurate or out-of-date. It may also not include the entire population researchers are interested in studying. In other cases, it may not be easy to access the data.

Secondary data comes in various formats, including books, websites, databases, and other sources. These sources are usually free or have limited access costs. In addition, they can include surveys, telephone interviews, and observational data. These methods are useful for confirming research goals and determining trends. In addition, they can be used to validate early hypotheses.


Secondary research is used to obtain information from other sources to complete a research project. Secondary data may not be relevant to the researcher’s investigation, but it can often be more cost-effective than gathering information. However, using secondary data requires a certain level of critical evaluation. This is because secondary data may be biased or inappropriate for the researcher’s research.


You can find secondary data from a variety of sources. Some of the best sources are published articles, books, and peer-reviewed academic journals. Other good secondary data sources include business and trade associations. These organizations usually collect data sets on business-related topics and are often willing to share them with researchers. Numerous academic journals and databases are also great ways to access data from multiple sources.

Some secondary research may be biased due to the data collection process. This bias may be intentional or unintentional and can affect the study’s validity. Additionally, secondary data may not be appropriate for the purpose for which the researcher is conducting the survey.


When reporting secondary research, you must ensure that the data you used is accurate and that the conceptualization and operationalization of the variables used by the primary researcher match. Depending on the nature of the study, you may need additional data to understand the findings fully. Another risk with secondary data is that the data may not be relevant to your research questions.

Secondary research methods are often less expensive and time-efficient than primary research, but You should take extra care to ensure the validity of the data. These methods often use data from libraries, archives, and the internet.

Author Bio:

Carmen Troy is a research-based content writer, who works for Cognizantt, a globally recognized professional SEO service and Research Prospect; an 论文和论文写作服务 Mr Carmen holds a PhD degree in mass communication. He loves to express his views on various issues, including education, technology, and more.