1. Reporting a Pearson Correlation
in APA
Amit Sharma
Associate Professor
Dept. of Pharmacy Practice
ISF COLLEGE OF PHARMACY
Ghal Kalan, Ferozpur GT Road, MOGA, 142001, Punjab
Mobile: 09646755140, 09418783145
Phone: No. 01636-650150, 650151
Website: - www.isfcp.org
2. Reporting a Pearson Correlation
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. Reporting a Pearson Correlation in APA
• In this short tutorial you will see a problem that can
be investigated using a Pearson Correlation.
5. Reporting a Pearson Correlation in APA
• In this short tutorial you will see a problem that can
be investigated using a Pearson Correlation.
• You will then see how the results of the analysis can
be reported using APA style.
7. Problem:
We analyzed if there is a relationship between amount of
broccoli extract consumed and a sense of well-being scores (on a
scale from 1 to 10).
8. Problem:
We analyzed if there is a relationship between amount of
broccoli extract consumed and a sense of well-being scores (on a
scale from 1 to 10).
• Here is one general template for reporting a
Pearson Correlation:
9. Problem:
We analyzed if there is a relationship between amount of
broccoli extract consumed and a sense of well-being scores (on a
scale from 1 to 10).
• Here is one general template for reporting a
Pearson Correlation:
Based on the results of the study, broccoli-extract
consumption is strongly related to a sense of well-being
r = .88, p < .05.
10. Problem:
We analyzed if there is a relationship between amount of
broccoli extract consumed and a sense of well-being scores (on a
scale from 1 to 10).
• Here is one general template for reporting a
Pearson Correlation:
Based on the results of the study, broccoli-extract
consumption is strongly related to a sense of well-being
r = .88, p < .05.
Pearson
Correlation
Statistical
Criteria