Видео

Thank you so much!

Grand

how transform data and test multiple regression for service quality

Can I download the page itself, not just a reference to it?

Very helpful! thank you

Hi. Thanks for this interesting video. I performed Fisher's exact test on a 4*2 table in SPSS, and I got a significant difference (P= 0.010) and I wonder what is the post hoc test to use following that? is it the adjusted standardized residuals? and if I want to calculate the P value from each adjusted standardized residuals, how can I do that?

Excellent tutorials, keep it up Please, I am having challenges with my data can you help me out.

Thank you very much !!!!!

Hi, did you do any videos with multiple coveriates?

Thank you so much sir you saved me... Love from INDIA

Very informative! I was wondering how we can graph predictive probabilities from a multinomial logistic regression for all outcome categories including the baseline.

thank you for the explanation, sir! very helpful😊

How did you calculate the E-value? There is no e-value among the co-variates. However it suddenly appeared in the Graphichs area.

Hello, thank you so much There is an error (Correct me if i'm wrong) minute 4: Expected For cell A is A= (A+B)*(C+D)/ (A+B+C+D) it should be (A+B)*(A+C)/ (A+B+C+D)

Espectacular explanation! Thank you so much! I was wondering if you know, How can I adjust the model if I have missing observations? Should I complete it with median values?

Thank u, this was very useful.

Thank you! Well explained!

Hello, thank you so much for your explanation, would you like to share the R listing for incomplete block design?

awesome video, saludos from Perú

Great

Hi Dr. Hayes! Nice video :)

you couldn't use any less complex example

Thank you so much for video, it helped a lot with visualization of my data.

The dialoge box you use is difference from mine (SPSS 25)!! I do not have 'Factors' input field!! could you possibly let me what version of PSM Extension you use?? I am using version 1.4.7!

you show all the data, but I don't get how you generate the graph...........

this is okay thank you however it would have been more help if you did the video STEP-BY-STEP and not explaining them already because you have done it already... like the step by step procedure on how you came up with the graph instead of just marveling at your already finished work it would have been nice if you showed it here like doing it from scratch instead of me (novice) of trying to figure it out how you have done it... now i woud have to analyze your prior steps because this tutorial it seems like I am investigating how you'ld do it instead of guiding us through the step by step.... but thanks anyway

Hi. Can I know how you choose the match tolerance of 0.2? is it the difference between the control group and treatment group's propensity/probability score? by the way, what is calipher? is it same as match tolerance?

Shared Base of dates. :)

Your third assumption, "covariate and treatment variable are unrelated," is interpreted differently by other people from the way you have. You treat it as testing for the assumption that there is no interaction term (i.e., homogeneity of slopes), but in other cases it is interpreted as meaning that the treatment does not cause changes in the covariate. For example, if you wanted to test for the effect of a medication on blood pressure controlling for weight, but the medication actually caused a change in weight, then the treatment would be causally related to the covariate and would violate the assumption. Where do you get your interpretation?

Thanks, this helped me allot! Could you however please explain why it was necessary to reverse the probabilities (as you did in order to create the outcome in row K)

How is the interpretation more complicated?

Hi, I just uploaded a video cricising the P-Value. Maybe you want to check it out? (It's the last one on my channel I'm not sure if I can link to it.) I saw that you do frequentist statistic on your channel. May I ask why?