Quan - Correlation

Question 1

Test for correlation/significance =

Answer 1

pearson correlation coefficient (r)

spearmans’s rho (p)

Question 2

directional relationship =

Answer 2

does one factor result in another
NOT CAUSE other
direction of influence

Question 3

X =

Answer 3

IV

Question 4

Y =

Answer 4

DV

Question 5

IV influences DV =

Answer 5

direction of influence

Question 6

Can investigate correlation between what variables?

Answer 6

2 interval or 2 ordinal

Question 7

Correlation =

Answer 7

established the type and intensity of relationships between variables

Question 8

Pearson correlation coefficient (r) uses what variables?

Answer 8

Normally distributed

interval varibles

Question 9

Spearmans Rho (p) uses what variables?

Answer 9

Non- parametric alternative
if either or both are ordinal or interval
but not normally distributed

Question 10

Pearson correlation

Answer 10

The relationship between two variables is determined by 
their covariance (how both variables deviate from their respective mean). 
- interested if changes in one variable are met with similar changes in another variable

Question 11

covariance is 0 in pearson correlation =

Answer 11

means no linear relationship

Question 12

what visual graph do you run before your chosen correlation tests?

Answer 12

Scatter plot

Question 13

What test must you run before correlation test to asses which test to use?

Answer 13

Histogram

Question 14

1.0 in correlation =

Answer 14

Strongest relationship

Question 15

-1.0 in correlation =

Answer 15

Strongest negative relationship