Testing the Assumptions for Pearson's R in SPSS

This video demonstrates how to test the assumptions for the Pearson’s product-moment correlation coefficient in SPSS. The output from the assumption testing, including a scatterplot, is interpreted and Pearson’s r is calculated.

[@pman7865]

Love your videos thank you so much for taking the time. They are very clear and informative. Please could you do a video on what to do if the assumptions are not met?

[@Tracks777]

Fantastic video! Please keep going, one day you make it big

[@DrGrande]

Thank you -

[@oracklemaeene7334]

Thanks for the great video. Does the normality assumption apply only to the dependent variable? That's what a few other sources seem to state.

[@BlueNova4001]

Nice video Todd.

[@DrGrande]

Thank you -

[@romainstewart4365]

Good job.

[@anubhavmotilal8363]

Thankyou so much

[@patriciaviana3446]

Do we still run Pearsons r if the assumptions have not been met?

[@kirstydavison2846]

Hi Dr. Todd Grande, can I ask a question please? I am conducting a study with 4 independent variables and 3 dependent variables. To present the figures in APA7 format, is it acceptable to present 12 scatterplots separately, figures 1-12 and describe each relationship or should I instead refer to the figures in the appendix- spss output? Thank you

[@fadhilfp6]

Please , needing an answer, you still run pearson r even after normality violation ! So if one variable or both are non parametric (not normality distributed), can we go further and use pearson or used spearman