Research Methods - Spearmans Rho And Pearsons Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

What are the tests for spearman’s and Pearson called

A

Tests off correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

When do we use spearmans’s Rho

A

When there is a correlation between two co variables

Data is ordinal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

When do we use Pearson’s r test

A

Used when looking for a correlation between two co variables
Data is interval

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What two things do we need in a spearman’s rho test

A

Calculated value of rho
Critical value of rho
N

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How do we find the critical value from critical table when using spearman’s rho

A

Identify the significance level
Identify if it is one tailed or two tailed test
Number of participants needed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How do we find the critical value from critical table when using Pearson’s r

A

Identify significance level
Identify if one tailed or two tailed
Calculate DF value which is number of participants - 2

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

When are the realstes from both spearman’s rho and Pearson’s r significant

A

When calculated value of rho or r is more than the critical value of rho or r , the results are significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How do we write out the results for spearman’s rho

A

As the calculated value of rho () is equal to or more than the critical value of rho when (N = —- p<0.05) the results are significant. We reject the null hypothesis. There is a significant positive or negative correlation between —— and ———

As the calculated value of rho () is equal to or more than the critical value of rho when (N = —- p<0.05) the results are significant. We reject the null hypothesis. There is a significant positive or negative correlation between —— and ———

How well did you know this?
1
Not at all
2
3
4
5
Perfectly