Correlation

Question 1

pearson’s r

Answer 1

most common correlation coefficent

Question 2

what type of relationships does pearson’s r look at

Answer 2

linear only

Question 3

what is a small pearson’s r

Answer 3

0.1

Question 4

What is a medium pearson’s r

Answer 4

0.3

Question 5

what is a large pearson’s r

Answer 5

0.5

Question 6

what is a perfect pearson’s r

Answer 6

1

Question 7

when is SPearman’s used

Answer 7

ranked data, non-parametric, ordinal scale

Question 8

covariance

Answer 8

averaged sum of combined deviations

Question 9

bivariate correlation

Answer 9

a correlation between 2 variables

Question 10

partial corrections

Answer 10

looks at a relationship between 2 variables, but controls for the effect of one or more additional variables

Question 11

coefficent of determination

Answer 11

measure of the amount of of variability in one variable that is shared by the other (R^2)

Question 12

pearson’s r is used for ____ and ____ data

Answer 12

interval

ratio

Question 13

kendall’s tau uses ____ data

Answer 13

ranked

Question 14

if you compute kendall’s tau and pearson’s r for the same data set would you get the same test statistic?

Answer 14

no

Question 15

when would you use a point-biserial correlation

Answer 15

when one of the 2 variables is a discrete dichotomy

Question 16

is kendall’s tau used for non-parametric or parametric datas?

Answer 16

non-parametric

Question 17

is pearson’s r used for non-parametric or parametric data?

Answer 17

parametric

Question 18

when would you use kendall’s tau over spearman’s coefficent?

Answer 18

when you have a small data set with a alrge number of tied ranks

Question 19

when would use use a biserial correlation?

Answer 19

when one variable is a continuous dichotomy

Question 20

how do you interpret the coefficent of determination R

Answer 20

X% of variability in Y is accounted for by Z

Question 21

what type of analysis is the coefficent of determinatino R^2 often used in?

Answer 21

regression

Question 22

semi-partial correlation

Answer 22

quanitifes the relationship between 2 variables while accounting for the effects of a third variable on only ONE of the variables in the original correlation