There are various data interpretation methods one can use to achieve this. When interpreting data, an analyst must try to discern the differences between correlation, causation, and coincidences, as well as many other biases – but he also has to consider all the factors involved that may have led to a result. Let’s take a closer look at those specific methods and possible data interpretation problems. Once scales of measurement have been selected, it is time to select which of the two broad interpretation processes will best suit your data needs. There is always an arbitrary zero point.įor a more in-depth review of scales of measurement, read our article on data analysis questions.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |