Right same old same old, firs of all let’s define the terms – correlation and causation. It will get more interesting I promise.
Correlation – it compares two sets of measurements (variables) and indicates the strength (positive, negative, no relationship) of a relationship. A classic example would be measure everyone’s height and weight, in general the taller you are, the heavier you are. So here an established relationship / correlation between the two variables. The purpose of this is to make a prediction about one variable based on what we know about another variable.
Causation – an act or an occurrence cause a change in another variable, such as smoking cause lung cancer.
I do not think correlation solely can show causation.
I have found some silly examples to show that correlation does not mean causation, ready ??
- Ice-cream sales and shark attack frequency are strongly correlated
This example shows that there is a correlation between the two HOWEVER this is not because sharks will start to attack in response to ice-cream, it is due to the fact that the two variables exhibit a common response to the hot weather (which you will never get in the UK, oooopss no offense guys).
- A correlation between shaving habits and stroke risk
This example shows that shaving less than once a day means increasing your risk for a stroke by 70% and a 30% increased risk of dying from any cause. To be frank, this concept is ridiculous – by shaving more , it could change your chances of getting a stroke? Hmmmmm … yet some British researchers have found a correlation between the two (amazed). In the article, the researchers think that the underlying cause for this relationshop has to do with hormones. Testosterone has already been used to link with baldness to higher risk for heart disease. (Source: http://news.bbc.co.uk/1/hi/health/2729457.stm)
- (x) the shorter a girl’s skirt and/or the lower her top was, (y) the more free drinks she received
I found this a rather interesting topic. What do you guys think? Is this true? Positive relationship? By wearing your skirt higher up and your top lower down will increase the likelihood of people buying you drinks?
Undeniably, the stats behind these studies suggested that a correlation do appear to exist, but a high positive correlation does not equate to cause and effect. I have found Wayne C. Curtis to back me up on this, who stated that, ” a high degree of positive correlation … does not necessarily mean that there is a cause-and-effect relationship between two variables. A high correlation can occur by chance alone or because both variables are related to some other variable which has not been considered in the analysis.”
In psychology, researchers undertake the experiments by using a very controlled environment, to ensure that the only effect that is causing DV is the IV. To this end, the researcher could then conclude that certain variable caused the change in the other. However confounding/extraneous variable can still occur which means it can be difficult to show an effect.
To conclude, (let’s finish off with one more example ;P) education and income are positively correlated, here we do not know if one caused the other. It might be that having more education causes a person to earn a higher income. It might be that having a higher income allows a person to go to school more. It might also be some third variable. A correlation tells us that the two variables are related, but we cannot say anything about whether one caused the other. This method does not allow us to come to any conclusions about cause and effect.
Thank you 🙂