Correlations

Question 1

Define correlation

Answer 1

mathematical technique in which a R investigates an association between 2 v’s

Question 2

co-variables

Answer 2

the variables investigated within a corr (height/weight) + plotted on a scatter graph
-not iv or dv - corr looks at association rather than a cause + effect relation

Question 3

correlation coefficient

Answer 3

another way of demonstrating the relation by using a no. representing direction= strength or relation between co-variable

Question 4

what does ‘r’ stand for?

Answer 4

correlation coefficient
The co-efficient will be between 0(no relationship) to 1 (perfect relation) - pos or neg

Question 5

Positive correlations

Answer 5

If an increase in one variable tends to be associated with an increase in the other e.g height + weight

Question 6

Negative correlations

Answer 6

An increase in one variable tends to be associated with a decrease in the other e.g climb a mountain (height) = colder temp

Question 7

Zero correlation

Answer 7

Occurs when no reaction between variables

Question 8

Weak neg correlation e.g

Answer 8

-40

Question 9

Strong pos correlation

Answer 9

+90

Question 10

Very weak pos correlation e.g

Answer 10

+13

Question 11

Very strong neg correlation

Answer 11

-76

Question 12

Very strong neg correlation

Answer 12

-76

Question 13

No correlation

Answer 13

0

Question 14

Strength of correlational studies (reliable)

Answer 14

-useful as show relation between two existing variables + how they affect each other
-can be basis of further research + commonly used to establish relalibillty of tests such as test-retest measure + inter-observer/rather reliability + if +0.80 + above then data is deemed reliable

Question 15

Another strength of correlational studies (ethical)

Answer 15

-sometimes ethically/practically impossible to manipulate variables for an experiment
-e.g to show relationship between unemployment + suicide s you would have to make people unemployed to see effect on them

Question 16

Limitation of correlational studies

Answer 16

-may show relationship but doesn’t show cause
-e.g a study could show no. Of acts committed however not same as shiwih through experimental manipulation of iv that watching to fr a long tine causes violence

Question 17

Limitation of correlational studies (validity)

Answer 17

-may lack validity as the 2 variables must be operationalised + therefore this means that you may lose some useful info regarding the variable
E.g would be difficult to operationalise a persons anxiety of injections