Passed my MBA with distinction late last year. This guy played a huge role in my success!
@blakem43314 жыл бұрын
Doctor, I can't stress this enough, you've saved my academic hide. Thank you very, very much! Most of my classes give so much waffle in explaining what to do, but you made it simple and to the point while also explaining why you do it.
@butterdee597 жыл бұрын
Thank you so much Dr. Grande! This video is on point for me. I have watched several videos on correlation and testing assumptions and by far, none compare to opening my understanding. Thank you again and God bless you!
@DrGrande6 жыл бұрын
Thank you so much for your kind words -
@bradleyfairchild12088 жыл бұрын
Very informative and helpful. Dr. Grande explained well how to test for all the assumptions, thanks.
@sannyuharris28278 жыл бұрын
Thank you for the step-by-step instructions on how to test the assumptions.
@rachaelmccormick40938 жыл бұрын
This was great! Our book did not go into this level of detail on testing assumptions. I would have missed some of these points if I had only read the assignment. Thank you for the clarifications.
@keithwilkerson90748 жыл бұрын
Excellent demonstration of testing for assumptions for correlations.
@linamateeva28268 жыл бұрын
Brilliant, thank you for posting this video!!!!You just saved my grade :)
@vanessagraham64738 жыл бұрын
This was helpful in walking through the steps to take in SPSS.
@celumusandlangamandla17042 жыл бұрын
Thank you Dr!!! That was very helpful
@timstauffer13518 жыл бұрын
Thank you for this very informative and helpful lesson.
@jasminepandit98612 жыл бұрын
Excellent video, thank you so much!
@bradleyfairchild12088 жыл бұрын
Dr. Grande, this was good, I'm wondering why you choose Shapiro-Wilks over other tests for normality? Thanks for the video.
@SPORTSCIENCEps2 жыл бұрын
Thank you for the explanation!
@yvonne29044 жыл бұрын
Dr. Grande, what does it mean when you test for assumptions, and the Shapiro Wilks test is significant at .00? Plus the data has outliers? Thanks
@NidhiSinha4U2 жыл бұрын
It means your data is not meeting the assumption of normality
@corieschoeneberg92958 жыл бұрын
This was extremely helpful.
@arjunrijal3 жыл бұрын
Thank you! explained really well!
@teresaedwards80268 жыл бұрын
Very easy to follow! Thank you!
@williamhaffelder70322 жыл бұрын
Does it mean that the kurtosis and skewness falling outside the limits mean that the 'satisfaction' data is not normally distributed? If so, isn't the assumption then violated and you will need to transform DV and/or IV and coax the residuals to normality?
@90210spa4 жыл бұрын
So basically if all the points together for the linearity assumption run in a straight line then the assumption is met. How about if some of the points run in a straight line but some of the other points run differently, that would indicate a curve which would mean no linear relationship so the assumption was not met? Also when testing for the multicollinearity assumption, if there is multicollinearity then the assumption was met but if there is none then the assumption was not met or is it the other way around?
@caglayanozdemir3483 жыл бұрын
Thank you! This is great.
@joellachica8715 Жыл бұрын
sir what if, one variable is normally distributed, and the other variable is not normally distributed..can i still use pearsons r?
@yashikaneaves38188 жыл бұрын
This makes it clear cut on how to identify the assumptions in correlation.
@echolou9236 жыл бұрын
just a quick question in this case the correlation is 0.88. these is note in my spss saying correlation is signinificant at the 0.01 level. So what does 0.88 indicate?? thanks
@fizzazaidi1175 жыл бұрын
So when do I bootstrap my correlation?
@Ritu-ey6nv3 жыл бұрын
Hello, thank you for your video. I am trying to find the relationship between Happiness (Ordinal variable with more than 5 categories) and Income (continuous variable). In this case, I am having trouble deciding if I should run Pearson correlation (by treating the happiness variable as continuous since it has more than 5 categories) or whether run a spearman's correlation? Also, while I tried to check the assumption for Pearson correlation (treating happiness as continuous), I found that Income is not normally distributed. And when I generated a scatterplot for these two variables, the result is not clear and somehow visually indicates no linear relationship. What should I Do???
@pearlr.24112 жыл бұрын
for ordinal variables by default we use spearmans rho, probably late
@saraspong66988 жыл бұрын
Thank you. This was helpful!
@andeggbreaks4 жыл бұрын
Thank you!!
@terihourihan68968 жыл бұрын
This is great! Thank you.
@kimeeshareedwalker32637 жыл бұрын
The data input to obtain the scatter plot seemed complicated to verify homoscedasticity
@jcartz7393 жыл бұрын
can i ask what software spreadsheet are you using?
@briannagray81516 жыл бұрын
Thank you, this helped me so much!
@DrGrande6 жыл бұрын
You are quite welcome!
@elenaw7132 жыл бұрын
What do you do then if your assumptions have been violated?
@AnnessiaAMLewis8 жыл бұрын
Hi this was so very helpful. but i'd like to test the assumptions for a spearman's correlation. Can you help me?
@DrGrande8 жыл бұрын
+Anne Go Thank you for the idea - here you go: kzfaq.info/get/bejne/jLNonK-cqM-siI0.html
@AnnessiaAMLewis8 жыл бұрын
Todd Grande thank you so much, you dont know how much this means to me. I'm actually doing my thesis due on Sunday night. You just saved me.
@couragee12 жыл бұрын
thank you!
@anurajms5 жыл бұрын
great videos
@pratimawenju72633 жыл бұрын
while testing for normality if one variable is normally distributed and another is not, at this point can we use Pearson's correlation ?
@nargisali72983 жыл бұрын
Did you find the solution?
@Gustavo-uc6ci3 жыл бұрын
Try to use data transformation (square root, log10, Box-Cox) and then test for normality again.
@Gustavo-uc6ci3 жыл бұрын
If it isn't normality even after data transformation, you should use a nonparametric correlation test, like Kendall or Spearman correlation.
@lakshmishankar58735 жыл бұрын
CAN YOU PLEASE ELABORATE CANONICAL CORRELATION TEST FOR SURVEY QUESTIONAIRE'S RESPONSES? THANKS IN ADVANCE.