RM Correlation

Question 1

Correlation is

Answer 1

A statistical technique for analysing data, when there are 2 sets of numerical scores for a participant
Main aim is to assess whether there is a relationship between 2 co variables

Question 2

Positive correlation

Answer 2

Both variables move in same direction

Question 3

Negative correlation

Answer 3

When one variable increases and the other decreases

Question 4

Zero correlation

Answer 4

The researchers find no relationship between the 2 variables

Question 5

Correlation coefficients

Answer 5

Numerical measure of strength and direction of the relationship between 2 co variables
Perfect negative coefficient: -1
Perfect positive: +1
No correlation: 0

Question 6

Strengths of correlation

Answer 6

Can be used for initial testing to see whether a relationship exists before spending time/money on full scale study
If no relationship is found it might suggest that a full scale study is not worth investigating

Question 7

Limitations of correlation

Answer 7

Researcher has little control over EVs
Cause + effect can’t be established. You don’t have IV / DV

Question 8

Hypothesis for a correlation

Answer 8

Non directional - there will be a relationship
Null- there will be no relationship

Question 9

Experiment compared to correlation

Answer 9

Experiment has IV and DV correlation doesn’t
Experiment established cause + effect correlation doesn’t
Experiment is a more scientific research method but correlation is a statistical technique
In experiment researcher has more control over EVs
Experimental hypothesis - difference but correlation hypothesis is relationship