How to gather data for your thesis

The next step, after choosing a topic for your thesis and making sure it is crisp and ready, is gathering data. In this article, we will focus on how to effectively collect theoretical and empirical data.

Collecting theoretical data

At this point in your academic life, you are already acquainted with the ways of finding potential references. Some obvious sources of theoretical material are journals, libraries and online databases like Google Scholar, ERIC or Scopus, or take a look at the top list of academic search engines (2019). Nevertheless, there are some hidden methods that can help you get the most out of your sources.

Search for theses on your topic. This can help you see what other approaches have been taken and in what aspects they focused on. In addition, pay close attention to the list of references and follow the bread-crumbs back to the original theories and specialized authors. Both of these tips will help you gain a better insight into your topic.

Another option is reading through content sharing platforms. Many people share their papers and writings on these sites. You can either hunt sources, get some inspiration for your own work or even learn new angles of your topic. The more you know, the better. The guide "How to undertake a literature search and review for dissertations and final year projects" will give you all the tools needed for finding literature.

Some popular content sharing sites are:

With these sites, you have to check the credibility of the sources. You can usually rely on the content, but we recommend to double check just to be sure. Take a look at our guide on what are credible sources?

Collecting empirical data

In order to successfully gather empirical data, you have to choose first what type of data you want as an outcome. There are essentially two options to choose from, qualitative or quantitative data. Many people mistake one term with the other, so take a look at the following article that shines a light on the differences between qualitative and quantitative research to avoid this confusion. Boiled down, qualitative data means words and quantitative means numbers. Whichever one adapts best to your research will define the type of methodology to carry out, so choose wisely.

Qualitative vs. Quantitative data

Qualitative vs. Quantitative data.
Data typeWhat is it?Methodology
QualitativeInformation that cannot be measured. It may involve multimedia material or non-textual data. This type of data claims to be detailed, nuanced and contextual.Observations, interviews, focus groups
QuantitativeInformation that can be measured and written with numbers. This type of data claims to be credible, scientific and exact.Surveys, tests, existing databases

In the end, having in mind what type of outcome you intend and how much time you count on will lead you to choose the best type of empirical data for your research. For a detailed description of each methodology type mentioned above, read this article on collecting data.

Once you gather enough theoretical and empirical data, you will need to start writing. But before the actual writing part, you have to structure your thesis to avoid getting lost in the sea of information. Take a look at our guide on how to structure your thesis for some tips and tricks.