Thank you for showing us how to interpret the correlation. My teacher did not show us, and I was confused about how to interpret the correlation of two different levels of data. Your explanation was very helpful!
Yep, Pearson' r is mathematically equivalent to the formal point-biserial correlation. Go into google books and type 'point biserial correlation Pearson correlation' and you should plenty of references. Phi in the 2x2 Pearson chi-square case is also mathematically equivalent to Pearson's r.
Hey I have a question. If you have a control and experimental group (both of which let's assume are in the same school). How can I inhibit their interaction?
@lexcle so agree with you lol ... thanks for posting this youtube stats guy... really helped at 11 44pm in the nite... no stats teachers on call this time of day lol
Do you mean you have nominal data with three ore more categories (e.g., Canada, USA, Australia), or that your variable has three or more levels that are ordered somehow (Agree, Neither Agree/nor Disagree, Disagree)?
@@how2stats I'm two years late but hoping you respond...I am also looking for the answer to this question..both with regards to nominal data with three or more categories (university departments) and ordered data (groups at different levels of education)...thank you!
How about a nominal variable and an interval variable? For instance: 1 = North 2 = South 3 = East 4 = West And then the other variable is population? So I am asking does population correlate with location? My hypothesis is that the north has a higher population. Thanks
I think in that situation, we would do Nominal by Interval Eta. A measure of association that ranges from 0 to 1, with 0 indicating no association between the row and column variables and values close to 1 indicating a high degree of association. Eta is appropriate for a dependent variable measured on an interval scale (for example, income) and an independent variable with a limited number of categories (for example, gender). Two eta values are computed: one treats the row variable as the interval variable, and the other treats the column variable as the interval variable. Go to Analyse>Descriptives>Crosstabs, then click Eta. I hope it would work.
Pearson's is remarkable. It can handle dichotomous IV and continuous IV. People call it point-biserial correlation in that case, but it's really just a Pearson correlation.
Seriously? All you do to run a point-biserial correlation is run a regular Pearson? I sure hope this is right, cause it's what I'm gonna say in my thesis defense.
It doesn't matter for the actual analysis, as SPSS doesn't take note of that information. It's more for the user's benefit, or of you use one of SPSS's guided approaches to analysis (which I don't).
Thank you for showing us how to interpret the correlation. My teacher did not show us, and I was confused about how to interpret the correlation of two different levels of data. Your explanation was very helpful!
Yep, Pearson' r is mathematically equivalent to the formal point-biserial correlation. Go into google books and type 'point biserial correlation Pearson correlation' and you should plenty of references.
Phi in the 2x2 Pearson chi-square case is also mathematically equivalent to Pearson's r.
this man was my lecturer at uni, nice man
You just use the regular Pearson correlation on the relevant variables.
Best stats channel, hands down.
Thank you for help, I was so confused on how to calculate my data but you made it so easy!
In the video, both variables are key in as an interval scale.
Is that what you have to do?
Thank you so much for your presentation. I understand this technique clearly.
It's a useful video, i was wondering how can i calculate point-biserial correlation coffecient in SPSS, thank you..
How would you interpret a positive ? higher numbers of brain volume correlate with higher value of group variable?
The group with the higher number has greater brain volume.
Great vid. I don't suppose you know of a way to run a rank-biserial correaltion (ordinal vs. nominal)?!
Thanks! Video definitely works better for us as compared to notes and writing~
Hey I have a question. If you have a control and experimental group (both of which let's assume are in the same school). How can I inhibit their interaction?
@lexcle so agree with you lol ... thanks for posting this youtube stats guy... really helped at 11 44pm in the nite... no stats teachers on call this time of day lol
Terimakasih pak
What if you had non-dichotomous data, what statistical tool should you use?
Do you mean you have nominal data with three ore more categories (e.g., Canada, USA, Australia), or that your variable has three or more levels that are ordered somehow (Agree, Neither Agree/nor Disagree, Disagree)?
@@how2stats I'm two years late but hoping you respond...I am also looking for the answer to this question..both with regards to nominal data with three or more categories (university departments) and ordered data (groups at different levels of education)...thank you!
Thank you very much! I love it!
ETA is equivalent too??
thanks so much for this video, i got a better of my data now :) its just a bummer that i cant use you as reference :D
what if the data not normal distribution?
thank you
+Khilyat Zaini Your best option is likely to use bootstrapping: ua-cam.com/video/9VjzPnoUBJQ/v-deo.html
@@how2stats how about rank biserial though?
Very useful. Thank you very much. :)
How about a nominal variable and an interval variable?
For instance:
1 = North
2 = South
3 = East
4 = West
And then the other variable is population? So I am asking does population correlate with location? My hypothesis is that the north has a higher population.
Thanks
I think in that situation, we would do Nominal by Interval Eta. A measure of association that ranges from 0 to 1, with 0 indicating no association between the row and column variables and values close to 1 indicating a high degree of association. Eta is appropriate for a dependent variable measured on an interval scale (for example, income) and an independent variable with a limited number of categories (for example, gender). Two eta values are computed: one treats the row variable as the interval variable, and the other treats the column variable as the interval variable. Go to Analyse>Descriptives>Crosstabs, then click Eta. I hope it would work.
Kamran Ahsan This was exactly my question ;) thx. :D I knew I want Eta but I couldn´t find it! ;)
Do you still need to know this? I have worked out a way using Excel. Easy once you set the spreadsheet up!
Why do we use Persons and not Spearmans. Isn't the data non linear but monotonich ?
Pearson's is remarkable. It can handle dichotomous IV and continuous IV. People call it point-biserial correlation in that case, but it's really just a Pearson correlation.
thank you so much for this video... :)
Thank you so much!!!
thank you
yes. thanx
Thank you !
Thanks!
Seriously? All you do to run a point-biserial correlation is run a regular Pearson? I sure hope this is right, cause it's what I'm gonna say in my thesis defense.
So wait, to perform a point-biserial correlation in SPSS, you do the exact same thing as you would to perform a Pearson correlation in SPSS?...
+Paul Partlow Yes, exactly.
+how2stats why not call it a pearson? lol
It is a special case of the Pearson’s product-moment correlation
Variables are set up incorrect. It should be one scales other nominal
It doesn't matter for the actual analysis, as SPSS doesn't take note of that information. It's more for the user's benefit, or of you use one of SPSS's guided approaches to analysis (which I don't).