Reporting Pearson Correlation Test of Independence in APA

1. Reporting a Pearson Correlation
Test of Independence
in APA

2. Reporting a Pearson Correlation
Test of Independence
in APA
Note – that the reporting format shown in this
learning module is for APA. For other formats
consult specific format guides.
It is also recommended to consult the latest
APA manual to compare what is described in
this learning module with the most updated
formats for APA

3. Reporting a Pearson Correlation
Test of Independence
in APA
Note – that the reporting format shown in this
learning module is for APA. For other formats
consult specific format guides.
It is also recommended to consult the latest
APA manual to compare what is described in
this learning module with the most updated
formats for APA

4. • In this short tutorial you will see a problem that can
be investigated using a Pearson Correlation Test of
Independence.

5. • In this short tutorial you will see a problem that can
be investigated using a Pearson Correlation Test of
Independence.
• You will then see how the results of the analysis can
be reported using APA style.

6. Problem:

7. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated comparing the frequency of heart disease in
men and women. A significant interaction was found
(2 (1) = 23.80, p < .05). Men were more likely to get
heart dease (68% than women (40%)

8. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated comparing the frequency of heart disease in
men and women. A significant interaction was found
(2 (1) = 23.80, p < .05). Men were more likely to get
heart dease (68% than women (40%)

9. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated determining if student height is independent
of GPA. A significant interaction was found (2 (1) =
23.80, p < .05). Men were more likely to get heart
dease (68%) than women (40%)

10. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated determining if student height is independent
of GPA. A weak interaction was found (r = .217,
p > .05). Student height is not related to GPA.

11. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated determining if student height is independent
of GPA. A weak interaction was found (r = .217,
p > .05). Student height is not related to GPA.
Pearson
Correlation

12. Problem:
We analyzed whether student height and GPA are independent
of one another.
• Here is one general template for reporting a
Pearson Correlation Test of Independence:
A Pearson Correlation test of independence was
calculated determining if student height is independent
of GPA. A weak interaction was found (r = .217,
p > .05). Student height is not related to GPA.
Statistical
Significance