Point-Biserial Correlation with Assumption Testing in SPSS
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- Опубликовано: 19 ноя 2015
- This video demonstrates how to perform a point-biserial correlation in SPSS with assumption testing. The point-biserial correlation is used when comparing one dichotomous variable and one continuous variable.
I liked seeing the scatter plot graph. It helped me understand the data in the correlation a bit better.
The point-biserial correlation was/is very new to me. I was able to follow along while you were explaining if there was a relationship between being unsuccessful and successful in the counseling treatment program however after that I was a little lost. I will go back and have to refresh myself on this one a couple of times.
I prefer correlation testing so I followed this video easier and having the option of running it as a T test is great. I like the scatter plot and finding values of success or unsuccessful functioning, I hope I can put the scores in properly to view results visually.
I understand the T-Test but not so much the Point-Biserial Correlation so I am happy that you can use both.
what if my data is not normally distributed? can i still use point biserial? or i replaced it with Spearman Rho?
Hi, did you ever find the answer to this?
@@manowarornometalatal I found, u can use logistic regression or kruskal Wallis h test.
They both don't need normality.
But logistic regression relies on balanced data set.
@@RG-sl6ix many thanks!!!
hi Dr. Todd , I found your vids vry usefull and important , can you plz have the time to make some vids on predective analysis , thx again
Hi Todd, In previous studies that I have seen, there have been Pearson's correlation carried out between all potential confounding variables with one another. I have seen cases of categorical variables with three levels correlated with scale variables and categorical variables correlated with other categorical variables. To me, it seems that other tests such as a Chi-Square would be appropriate but I am unsure. Could you shed any light?
What are the pros and cons to point-biserial correlation over one-way ANOVA or even Student's t-test? When would you choose one over the other? Most people are probably familiar with ANOVA and t-test, but this one is a little more obscure, especially since there isn't a point-and-click-option for it in SPSS and you instead have to retort do doing a Pearson. Matematically the same, but not very intuitive.
This comes into picture, when u Wana find correlation between a discrete n continuous variable.
Hi Dr. Todd, thank you very much for your helpful video! Could you give me some ideas if I would like to see the correlation between one dichotomous variable and multiple continuous variables, can I use point-biserial correlation as well? I have seen videos that did multiple dichotomous variables and one continuous variable, but I don't know if we can do vice versa.
Is there a technique to determine correlation between a continuous and discrete variable, where... Continuous variable s not normally distributed.
Anything apart from logistic regression ( I don't want to confine to balanced dataset) and kruskal wallis h test.
So in the end you still used Pearson correlation, even though one of the variables is dichotomous? Shouldn't there be any special correlation technique for dichotomous variable? What if the data is not normally distributed? Kendall's tau?
Found anything for non normal data
which tests will be applied if not meet the assumptions??? please respond.
Hello, Dr. Grande, I have outliers for my point-biserial can you direct me to a study that would address how I would handle the outliers?
Hello Bro. Dr. Tiller, Jr. Blu-Phi. You can't get through Statistics without SIGMA, can you? :-)
@@kennethlewis1516 GOMAB to that Bro. Lewis!!
@@cjtjr
Facebook me or hit me in linkedin please, if you are there.
Why do we use Persons and not Spearmans. Isn't the data non linear but monotonich ?