Scientific papers and empiric data


A scientific paper has several characteristics. You can recognise it by its context, were it is published and how it is structured. If you want to know more about this you can read the following posts: How to recognize a scientific paper? and Essay Tips – Scientific articles.

An other way to recognise a scientific article is to read it. Look at the text: To read scientific texts.

The importance of empiric data
If you read a scientific text, you should see that all claims are built on empiric data. All statements and conclusions must be based on data proving that it is indeed as the author writes. If the author has not collected any data the claims should at least be connected to one or more articles that support the claim with empirical evidence and logical reasoning.

Empirical data can and should look different depending on what is the focus for the study. As an example it is hard to generalise the conclusions from a qualitative case study.

If you can’t find the connection between the text, it’s claims and some kind of data or logical reasoning that you can follow and evaluate, you should continue to the next text. To be able to follow the basis for the claims is also an important part of source critisism.

Now that you have read this far you might notice that this text have no independent references to support the claims. Find documents on: Empiric data, qualitativ/quantitative data, case studies, primary sources, secondary sources and source critisism.

Text: Thomas Nyström