Corrolations

Question 1

What is a correlation?

Answer 1

Looks to see if there is a relationship between variables

Question 2

What can correlation not do?

Answer 2

Can’t establish cause and effect it can only show that two variables correspond in some ways

Question 3

What is a covariable?

Answer 3

It’s the name for the two variables that correspond. E.g., affectionless psychopathy and early spearation

Question 4

What is a correlation coefficient?

Answer 4

A value between -1 and 1 that indicates the relationship between two data sets

Question 5

What are the advantages of using a collelational method?

Answer 5

Allows the rest wander to measure the relationship between naturally occurring variables.
Can indicate trends which might lead to further research using experimental means to identify links that can later be tested

Question 6

What are the disadvantages?

Answer 6

No cause and effect established due to lack of control over variables.
Hard to control extraneous variables
Could be missing a curvilinear relationship between two variables