Correlations Flashcards
What is a correlation?
A statistical, mathematical technique in which a researcher investigates an association between two variables (called co-variables)
What does a correlation show?
The strength and direction of an association between two or more co-variables
What is a positive correlation?
Refers to a relationship where the variables move in the same direction (increase in one = increase in another)
What is a negative correlation?
Refers to a relationship on which an increase in one variable is accompanied by a decrease in another
What is a zero correlation?
This means that there is no relationship between two variables
What does a correlation hypothesis do? Give an example
It states the expected association between the co-variables
E.g. ‘There will be a positive correlation between age and beauty’
What is a correlation coefficient? Explain how it works
A numerical measure of the strength and direction of the relationship between variables - it is between -1 and +1
-1 represents a perfect negative correlation and a +1 is a perfect positive correlation
Explain the difference between an experiment and a correlation
An experiment shows cause and effect - a correlation doesn’t
Extraneous variables are controlled in an experiment where as correlations don’t control extraneous variables
An experiment manipulates an IV where as a correlation doesn’t
An experiment shows the difference between two variables where as a correlation shows a relationship between two factors
What are the strengths of a correlation?
- Provides a precise quantifiable measure of how two variables are related
- May suggest ideas for future research
- Starting point to assess possible patterns between variables before committing to an experimental study
- Quick and economical - data is often pre-existing
- More ethical as there’s no manipulation of variables (correlation studies don’t have the issues concerning the right to withdraw, consent etc)
What are the limitations of correlations?
- Lack of control of extraneous variables - they only tell us that the variables are related not WHY
- Cannot demonstrate cause and effect
- It may be that a 3rd variable/intervening variable has caused the relationship between the co-variables