When you are collecting, analysing, or presenting your results, it is very important to plan ahead and consider the differences between types ofand how they can laid out. It needs to be in the clearest way possible so that people who haven’t done your project understand your results easily.
Stats and Types of
Broadly speakingcan be one of two types, quantitative or qualitative. It is important to understand the distinction between these types of , and this will guide your research methods and play an important role when you come to analyse your .
Quantitativeuses numerical or that can be transformed into usable statistics. This can help to quantify variables, such as the frequency of a behaviour or number of offspring, and is usually used on a large scale so that lots of can be collected and analysed. Using this can then help to uncover patterns thanks to statistical testing. Typically, quantitative can be collected using surveys or questionnaires, although with non-human subjects can be collected by observing how often a phenomenon occurs. This type of is very common in research.
Qualitativeis often rich in detail, and this is because it is typically recorded in verbal or written passages. This makes variables hard to quantify and makes statistical testing. Nonetheless, qualitative offers insight in a level of detail that some statistics may not be able to express, such as the way an animal has mutated. Due to this, qualitative plays an important role in forming theories, and can help to investigate the deeper processes beyond the . This type of may be less common in research when studying non-human subjects such as nematodes.
There are lots of different ways to present, and some methods are presented below for quantitative .