Correlation

Question 1

Correlation

Answer 1

Illustrates strengths and direction of an association between two or more co variables
- plotted on scatter gran
- correlational hypothesis- directional/ non directional. Must be operationalised

Question 2

Positive correlation

Answer 2

As one variable increases so the the other

Question 3

Negative correlation

Answer 3

As one variable increases, the other decreases

Question 4

Zero correlation

Answer 4

No relationship

Question 5

What’s the difference between experiment and correlation

Answer 5

Correlations have no IV/ DV and so no cause and effect can be established

Question 6

Evaluation correlations

Answer 6

+ quick/ economical, uses secondary data
+ precise and quantifiable, future research
-interpreted wrong, people may assume correlation means causation
- intervening variables, third variable present which is influencing one of co variable which isn’t considered

Question 7

Curvilinear relationship

Answer 7

As one variable increases so does the other up to a certain point, after which one variable continues to increase and the other decreases

Question 8

Correlation co efficient (r)

Answer 8

Is a number that describes the strength and type of correlation
+1 is a perfect positive correlation
-1 is a perfect negative correlation
The nearer to +/- 1 the stronger the relationship

Question 9

Correlation co efficient examples

Answer 9

Perfect positive = 1
High positive= 0.8
Low positive= 0.3
No correlation= 0
Low negative= -0.3
High negative= -0.8
Perfect negative= -1