Can Experiments detect differences that matter?
This question is important in interpreting scientific literature because it asks whether or not an experiment should be done based on whether the results from the experiment will be useful to the field of interest.
Does the study show causation or correlation?
When it comes to interpreting scientific literature, the difference between causation and correlation is immense and significant. Ultimately, it is the end goal to come to the conclusion that the variables cause an effect. Although not as useful, correlations can help explain why something might happen, but it does not mean that there is definite proof that it is the cause of the effect. A phrase often used to compare the two terms is “correlation does not mean causation”.
What is the mechanism?
The mechanism explains the steps in how things happen. The process is able to pinpoint specifically how things interact. An example of a mechanism could be how H. pylori is contracted and end up inhabiting the stomach.
How much do the experiments reflect reality?
Experiments are important in the way that it is always good to learn and discover new things, especially in the field of science where it can be served of great use. However, if an experiment does not reflect reality, then it might not be as useful to humans because it will not be applicable outside the laboratory setting.
Could anything else explain the results?
This is an important question to consider when interpreting scientific literature because it is important to identify what causes the results. It is better to find a definite cause than to portray false information to the world.
