Pearson Correlation Analysis on SPSS with Assumption Checks and Write Up (APA style)

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Learn how to complete a Pearson correlation analysis on SPSS with assumption checks and how to report the results in APA style.

0:00 What is a Pearson correlation analysis?
0:52 Setting up the data file
1:45 Checking the assumptions
6:18 Running the Pearson correlation analysis
6:36 Interpreting and reporting the results

Cohen’s (1988) criteria for r values: small = .10 to .29, medium = .30 to .49, large = .50 to 1.00. For example, if you have an r value of .35, you could say that there was a medium correlation.
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Pearson correlation and many other analyses are covered in my book, SPSS Made Easy:

DavidRobinsonPhD
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Can you also do Kendall’s Tau analysis with assumptions in SPSS

Robi-bx
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thanks very much. Seriously it helped me with my thesis a lot...

kavithaselvanathan
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Thanks David, very informative and easy to grasp. I can now carryon with my work.

whitedove
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YOU ARE AMAZING!!!! Thank you very much. This is so helpful!!

MishMashTheSmash
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Thankyou so much! This is really helpful!

Solyana
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Hi, thanks a lot, your presentation has really helped me present my results in my research assignment.

JSToed
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The best!!!! thank you for this clear explanation :))

luisaruizgarcia
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This presentation was very clear and informative. I enjoy watching your video. You make statistics very easy to understand. I would also want you to do one on Canonical correlation in SPSS. God bless you

carolsmythe-james
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How do you copy and paste the correlation table from spss output to word and make it apa style on apple MacBook ? I copy and paste it to word and it does not allow me to create the table in apa format.

harveenpanaser
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very informative video, how would you do a multiple pearsons correlation? what would be the best way to check the assumptions?

MOPX
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Hi David!
Thanks for this video. I'm working on my dissertation.
What statistical test I should use if my dependent and independent variables are both continuous, but
I want to control for 2 nominal/ordinal confounding variables?

Thanks,
Risa

risausa
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Why is it important to test the assumption of linearity and homoscedasticity?

hebahajij
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it was a very useful video. If I have a lot of features, then how I can remove features which are less contributing to the accuracy or how to choose highly correlated features with the output using Pearson correlation

snehalgaikwad
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This is super helpful, thank you! I am doing a first year university correlational study on life satisfaction and mindfulness. When talking about the histograms (or any other graph where I want to discuss the graphs of the 2 variables), can I put multiple histograms (or graphs) in one appendix (e.g. Appendix A would include a histogram for life satisfaction and a histogram for mindfulness) or do they need to go into separate appendices APA? Thank you

darrenburton
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Hello. Thank you for this it was very helpful. I am currently looking at the relationship between body weight (in kg) and depression (measured via the BDI) (in overweight and obese participants). However, there is neither a positive nor negative relationship (everything is scattered). What text should I look at? The assumptions are violated.

spare_extra
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Thank you for this video, very useful. What do you do if two out of the three variables have a Shapiro-Wilk value that is statistically non significant indicating normality but the third has a significant value violating the normality assumption?

tayoolalekan