Reporting Pearson Correlation Test of Independence in APA
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A Pearson correlation test of independence was conducted to determine if student height and GPA were related. A weak correlation was found between height and GPA (r = .217, p > .05), indicating that student height and GPA are independent of each other.
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