Thanks for sharing. Very impressive example - the outliers really mess up Pearson's correlation, and Spearman's correlation is not sensitive with outliers.
Yes that is true, but just to add, as long as the assumptions for Pearson's correlation are met, it is still more powerful than Spearman's. :) Great video.
Use Pearson if the data are on an interval scale and at least approximately normally distributed. Use Spearman if the data are on an ordinal scale or if there are extreme values (influential outliers). Note that there may not be a simple answer in the sense of one being correct, the other one wrong. You can calculate both and compare results. If they are the same, it doesn't matter much which one you choose. If results differ, the video tells you why this could be the case.
Pearson if the data are on an interval scale and at least approximately normally distributed. Spearman if the data are on an ordinal scale or if there are extreme values (influential outliers). Note that there may not be a simple answer in the sense of one being correct, the other one wrong. You can calculate both and compare results. If they are the same, it doesn't matter much which one you choose. If results differ, the video tells you why this could be the case.
That's an old video I re-uploaded ... Have moved on to R / RStudio some time ago. In SPSS you can check descriptive statistics on the variables to find out extreme values, looking at maximums, or at how far away values are from mean +/- standard deviation. A graphical method would be to use boxplots (which show outliers), or scatterplots. You can also create linear models and check model assumptions, e. g. about influential data points, which could be extreme values. So, not one single best method, but several approaches ... All the best
@@StatistikinDD thans soo much for ur explanation .I'm a beginner and try to understand statistical analysis methods in experimental medical research paper .do u have any recommendations for online videos?
Thanks for sharing. Very impressive example - the outliers really mess up Pearson's correlation, and Spearman's correlation is not sensitive with outliers.
Yes that is true, but just to add, as long as the assumptions for Pearson's correlation are met, it is still more powerful than Spearman's. :) Great video.
@@njdalanon417 I see. Thanks for your sharing! :-)
Bang on, this comment should be pinned
Great example - I selected the right analysis for my study!
I don't get it
Use Pearson if the data are on an interval scale and at least approximately normally distributed. Use Spearman if the data are on an ordinal scale or if there are extreme values (influential outliers). Note that there may not be a simple answer in the sense of one being correct, the other one wrong. You can calculate both and compare results. If they are the same, it doesn't matter much which one you choose. If results differ, the video tells you why this could be the case.
Thank you! Very helpful for my understanding.
I still do not understand. When I should use Pearson and when I should use Spearman?
Pearson if the data are on an interval scale and at least approximately normally distributed. Spearman if the data are on an ordinal scale or if there are extreme values (influential outliers). Note that there may not be a simple answer in the sense of one being correct, the other one wrong. You can calculate both and compare results. If they are the same, it doesn't matter much which one you choose. If results differ, the video tells you why this could be the case.
@@StatistikinDD Thanks for this great video and comment. Helped my intuition and understanding a great deal!
How if my data is interval but not normal distributed, should I use Spearman or Pearson?
Can I apply spearmen formula into Pearson correlation coefficient if somebody ask me to find Pearson correlation
Sorry, I don't fully understand the question.
THANks! BUT how to check the discrete missing value automatically in a statistical method by SPASS if there is a large amount of data ?
That's an old video I re-uploaded ... Have moved on to R / RStudio some time ago.
In SPSS you can check descriptive statistics on the variables to find out extreme values, looking at maximums, or at how far away values are from mean +/- standard deviation.
A graphical method would be to use boxplots (which show outliers), or scatterplots. You can also create linear models and check model assumptions, e. g. about influential data points, which could be extreme values.
So, not one single best method, but several approaches ...
All the best
@@StatistikinDD thans soo much for ur explanation .I'm a beginner and try to understand statistical analysis methods in experimental medical research paper .do u have any recommendations for online videos?
@@krauseyuan430 Sorry, no ... Depends on exactly what you are looking for. I'd also have to use search terms ...
Can we do a correlation between two different types of variables? Like linear vs ordinal?
You're safe assuming the lower level scale. So for linear vs. ordinal you can use Spearman correlation.
nk uou very much🎉🎉
Great explanation
thanks so much very helpful!
What computer software was used?
This was SPSS. It's an old video that I re-uploaded recently. Currently I use R / RStudio.
Thanks a lot!
Fantastic
He sounds a bit like max verstappen lol. Good video tho helped me understand.